RIDE D.2.1.1 - European Best practices in providing semantic ...

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RIDE


A Roadmap for Interoperability of eHealth Systems
in Support of COM 356 with Special Emphasis on
Semantic Interoperability




COORDINATION ACTION

PRIORITY
2.4.11

Integrated biomedical information for better health”: eHealth


RIDE D.2.1.1
-

Euro
pean Best practices in providing
semantic interoperability in eHealth domain













FINAL



Due Date:

June 15, 2006 (Month 4+45 Days)

Actual Submission Date:

May 4, 2006

Project Start Date:

January 01, 2006

Project End Date:

December 31, 2007

Project Duration:

24

months

Leading Contractor
Organization:

ICCS



Project co
-
funded by the European Commission within the Sixth Framework Programme (2002
-
2006)

Dissemination Level

PU

Public

X

PP

Restricted to other programme participants (including
the Commission Services)


RE

Restricted to a group specified by the consortium (including the Commission Services)


CO

Confidential, only for members of the consortium (including the Commission Services)


IST
-
027065 RIDE

Deliverable D2.1.1:
European Best practices in providing semantic
interoperability in eHealth domain

3

Document
History
:


Version

Date

Changes

From

R
eview

V0.1

January 13, 2006

Initial version created

ICCS

All partners

V0.x

January 26, 2006

eHealth Initiatives in Canada

METU

All partners

V0.x

January 30, 2006

eHealth Initiatives in The Netherlands

METU

All partners

V0.x

January 30, 2006

eHealth In
itiatives in Austria

METU

All partners

V0.x

February 6, 2006

eHealth Initiatives in UK

METU

All partners

V0.x

February 6, 2006

eHealth Initiatives in Norway

METU

All partners

V0.x

February 7, 2006

eHealth Initiatives in France

METU

All partners

V0.x

Fe
bruary 7, 2006

eHealth Initiatives in Sweden

METU

All partners

V0.x

February 8, 2006

eHealth Initiatives in Belgium v1.0

METU

All partners

V0.x

February 8, 2006

eHealth Initiatives in Estonia

METU

All partners

V0.x

February 8, 2006

eHealth Initiatives i
n Australia

METU

All partners

V0.x

February 8, 2006

eHealth Initiatives in Denmark v1.0

METU

METU

V0.x

February 8
, 2006

eHealth Initiatives in Luxembourg

METU

All partners

V0.x

February 8, 2006

eHealth Initiatives in Portugal

METU

All partners

V0.x

Feb
ruary 9, 2005

eHealth Initiatives in Germany v1.0

METU

All partners

V0.x

February 9, 2006

eHealth Initiatives in Hungary

METU

All partners

V0.x

February 9, 2006

eHealth Initiatives in Latvia

METU

All partners

V0.x

February 9
, 2006

eHealth Initiatives in

Spain

METU

All partners

V0.x

February 10,
2006

eHealth Initiatives in Greece v1.0

METU

All partners

V0.x

February 10
,
2006

eHealth Initiatives in Slovenia

METU

All partners

V0.x

February 10,
2006

eHealth Initiatives in Czech Republic

METU

All partners

V0.x

February 13
,
2006

eHealth Initiatives in Malta

METU

All partners

IST
-
027065 RIDE

Deliverable D2.1.1:
European Best practices in providing semantic interoperability in eHealth domain

4

V0.x

February 14,
2006

eHealth Initiatives in Poland

METU

All partners

V0.x

February 17,
2006

eHealth Initiatives in Cyprus v1.0

METU

All partners

V0.x

February 17,
2006

eHealth Init
iatives in Greece v2.0

ICCS

All partners

V0.x

February 22,
2006

eHealth Initiatives in USA

METU

All partners

V0.x

February 23,
2006

eHealth Initiatives in Ireland

METU

All partners

V0.x

March 9, 2006

eHealth Initiatives in Denmark v2.0

METU

All partners

V0.x

March 13, 2006

eHealth Initiatives in Cyprus v2.0

ICCS

All partners

V0.x

March 22, 2006

S
tate of the art in ontology with
special emphasis on biomedical
ontology

OLE

All partners

V0.x

March 23, 2006

eHealth Initiatives in Germany v2.0

OFFIS

All pa
rtners

V0.x

March 30, 2006

eHealth Initiatives in Ireland v2.0

DERI

All partners

V0.x

March 31, 2006

Part of Related Projects added

ICCS

All partners

V0.x

April 3, 2006

Survey of Clinical Decision Support
Systems (CDSS)

METU

All partners

V0.x

April 3,

2006

Survey of Clinical Practice Guidelines

METU

All partners

V1.0

April 7, 2006

First working draft

ICCS

All partners

V1.x

April 17, 2006

eHealth Initiatives in Belgium v2.0

EuroRec

All partners

V1.x

April 26, 2006

Patient Identifiers Chapter was add
ed

OFFIS

All partners

V2.0

April 2
8
, 2006

Final Document

ICCS

All partners

IST
-
027065 RIDE

Deliverable D2.1.1:
European Best practices in providing semantic
interoperability in eHealth domain

5


RIDE

Consortium Contacts:



N
o

Organisation

Street name
and number

Post

Code

Town/

City

Country

Code

Title

Family Name

First Name

Phone N
o

Fax N
o

E
-
Mail

1

METU
-
SRDC

Inonu Bulva
ri

06531

Ankara

Turkey

Prof. Dr.

Dogac

Asuman

+90
-
312
-
2105598

+90(312)21010
04

asuman@srdc
.metu.edu.tr

2

OFFIS

Escherweg 2

26121

Oldenburg

Germany

Dr.

Eichelberg

Marco

+49
-
441
-
9722
-
147

+49
-
441
-
9722
-
102

eichelberg@o
ffis.de

3

IFOMIS

Campus
Saarbrücken

6604
1

Saarbrücken

Germany

Prof.

Smith

Barry

+49(0)681/30
2
-
64777

+49(0)681/302
-
64772

phismith@bu
ffalo.edu

4

EUROREC

co IDISS
-

Croix
-
Rouge
Française

route de Platon

42400

Saint
Chamond

France

Prof.

DeMoor

Georges

+32
-
9
-
2403421

+32
-
9
-
2403439

georges.demo
or@
ugent.be

5

CNR

Piazzale Aldo
Moro 7

00100

Roma

Italy

Prof.

Rossi Mori

Angelo

+39 06 86
090 250

+39 06 86 090
340

angelo@itbm.
rm.cnr.it

6

NTUA, ICCS


42, Patision
street

10682

Athens

Greece

Prof.

Mentzas

Gregoris

+3021077238
95

+30210772355
0

gmentzas@s
o
ftlab.ntua.gr

7

NUIG, DERI

University
Road

na

Galway

Ireland

Prof.

Vitvar

Tomas

+353 91
495270

+353 91
495270

tomas
.
vitvar
@deri.org

8

IHE
-
D

Stresemannalle
e 19

60596

Frankfurt

Germany

Prof.

Wein

Berthold B.

+49
-
241
-
559
559 1

+49
-
241
-
559
558 2

wein@
radiolo
gie
-
aachen.de

9

OLE

Hazenakkerstra
at 20a

B9520

Zonnegem
(Sint
-
Lievens
-
Houtem)

Belgium

Dr.

Ceusters

Werner

+32 475 486
587

-

werner.ceuste
rs@ecor.uni
-
saarland.de



IST
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027065 RIDE

Deliverable D2.1.1:
European Best practices in providing semantic interoperability in eHealth domain

6

Table of Contents


1. EX
ECUTIVE SUMMARY

................................
................................
................................
.....................
12

2. INTRODUCTION

................................
................................
................................
................................
...
13

3. RESEARCH PROJECTS

................................
................................
................................
.......................
14

3.
1.

IST

P
ROJECTS

................................
................................
................................
................................
.....
14

3.1.1. IST COCOON

................................
................................
................................
.............

14

3.1.1.1. Project Overview

................................
................................
................................
..

14

3.1.1.2. COCOON Objectives

................................
................................
...........................

15

3.1.1.3. Participant list

................................
................................
................................
.......

20

3.1.1.4. Relevance to RIDE Project

................................
................................
...................

21

3.1.2. IST SEMANTICMINING

................................
................................
...........................

22

3.1.2.1. Project Overview

................................
................................
................................
..

22

3.1.2.2. SEMANTICMINING Objectiv
es

................................
................................
.........

22

3.1.2.3. Participant list

................................
................................
................................
.......

23

3.1.2.4. Relevance to RIDE Project

................................
................................
...................

25

3.1.3. IST INFOBIOMED

................................
................................
................................
.....

26

3.1.3.1. Project Overview

................................
................................
................................
..

26

3.1.3.2. INFOBIOMED Objectives

................................
................................
...................

26

3.1.3.3. Participant list

................................
................................
................................
.......

27

3.1.3.4. Relevance to RIDE Project

................................
................................
...................

29

3.1.4. IST DOC@HAND

................................
................................
................................
......

30

3.1.4.1. Project Overview

................................
................................
................................
..

30

3.1.4.2. DOC@HAND Objectives

................................
................................
....................

31

3.1.4.3.

Participant list

................................
................................
................................
.......

32

3.1.4.4. Relevance to RIDE Project

................................
................................
...................

33

3.1.5. IST DICOEMS

................................
................................
................................
............

34

3.1.5.1. Project Overview

................................
................................
................................
..

34

3.1.5.2. DICOEMS Objectives

................................
................................
..........................

35

3.1.5.3. Participant list

................................
................................
................................
.......

36

3.1.5.4. Relevance to RIDE Project

................................
................................
...................

37

3.1.6. IST ARTEMIS
................................
................................
................................
.............

38

3.1.6.1. Project Overview

................................
................................
................................
..

38

3.1.6.2. ARTEMIS Objectives

................................
................................
..........................

39

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European Best practices in providing semantic interoperability in eHealth domain

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3.1.6.3. Participant list

................................
................................
................................
.......

39

3
.1.6.4. Relevance to RIDE Project

................................
................................
...................

40

3.1.7. IST SAPHIRE

................................
................................
................................
.............

41

3.1.7.1. Project Overview

................................
................................
................................
..

41

3.1.7.2. SAPHIRE Objectives

................................
................................
...........................

41

3.1.7.3. Participant list

................................
................................
................................
.......

43

3.1.7.4. Relevance to RIDE Project

................................
................................
...................

44

3.1.8. IST CARE
-
PATHS

................................
................................
................................
.....

45

3.1.8.1. Project Overview

................................
................................
................................
..

45

3.1.8.2. CARE
-
PA
THS Objectives

................................
................................
...................

45

3.1.8.3. Participant list

................................
................................
................................
.......

46

3.1.8.4. Relevance to RIDE Project

................................
................................
...................

47

3.1.9. IST ACGT

................................
................................
................................
...................

48

3.1.9.1. Project Overview

................................
................................
................................
..

48

3.1.9.2. ACGT Objectives

................................
................................
................................
.

48

3.1.9.3. Participant list

................................
................................
................................
.......

51

3.1.9.4. Relevance to RIDE Project

................................
................................
...................

53

3.2.

E
TEN

P
ROJECTS

................................
................................
................................
................................
..
54

3.2.1.

eTEN NETC@RDS for eEHIC

................................
................................
...................

54

3.2.1.1. Project Overview

................................
................................
................................
..

54

3.2.1.2
. NETC@RDS Objectives

................................
................................
......................

55

3.2.1.3. Participant list

................................
................................
................................
.......

56

3.2.1.4. Relevance to RIDE Project

................................
................................
...................

58

3.2.2. eTEN Comprehensive Continuity of Care

................................
................................
...

59

3.2.2.1. Project Overview

................................
................................
................................
..

59

3.2.2.2. C3 Objectives

................................
................................
................................
.......

60

3.2.2.3. Participant list

................................
................................
................................
.......

60

3.2.2.4. Relevance to RIDE Project

................................
................................
...................

61

3.2.3. eTEN i2Health

................................
................................
................................
.............

62

3.2.3.1. Project Overview

................................
................................
................................
..

62

3.2.3.2. i2Health Objectives

................................
................................
..............................

62

3.2.3.3. Participant list

................................
................................
................................
.......

63

3.2.3.4. Relevance to RIDE Project

................................
................................
...................

63

3.3.

I
NTERNATIONAL
P
ROJECTS

................................
................................
................................
.................
65

3.3.1. Active Semantic Documents


LSDIS

................................
................................
........

65

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European Best practices in providing semantic interoperability in eHealth domain

8

3.3.1.1. Project Overview

................................
................................
................................
..

65

3.3.1.2. ASD Objectives

................................
................................
................................
....

66

3.3.1.3. Relevance to RIDE Project

................................
................................
...................

68

3.3.2. TMA Bridge

................................
................................
................................
................

69

3.3.2.1. Project Overview

................................
................................
................................
..

69

3.3.2.2. TMA Bridge Objectives

................................
................................
.......................

69

3.3.2.3. Participant list

................................
................................
................................
.......

70

3.3.2.4. Relevance to RIDE Project

................................
................................
...................

71

4. NATIONAL E
-
HEALTH INITIATIVES

................................
................................
..............................
72

5. ONTOLOGIES

................................
................................
................................
................................
........
73

5.1.

M
AIN
O
NTOLOGICAL APPROACHE
S IN
L
IFE
S
CIENCE AND
H
EALTH

................................
.....................
73

5.2.

M
AIN
O
NTOLOGIES IN
L
IFE
S
CIENCES AND
H
EAL
TH

................................
................................
...........
74

5.2.1. DL
-
supported Concept
-
based ontologies

................................
................................
....

74

5.2.1.1. SNOMED
-
CT

................................
................................
................................
.......

74

5.2.1.2. National Cancer Institute’s Thesaurus

................................
................................
..

75

5.2.1.3. GALEN

................................
................................
................................
................

76

5.2.2. Realism
-
based ontologies

................................
................................
............................

77

5.2.2.1. The Ontology of Biomedical Reality (OBR)

................................
........................

77

5.2.2.2. The Foundational Model of Anatomy

................................
................................
..

77

5.3.

O
NTOLOGY OUTREACH
,

EVALUATION AND CERTI
FICATION INITIATIVES

................................
.............
78

5.3.1. European Initiatives

................................
................................
................................
.....

78

5.3.1.1
. The Q
-
Rec project

................................
................................
................................

78

5.3.1.2. The KnowledgeWeb
-
project’s Ontology Outreach Advisory

..............................

79

5.3.2. Non
-
European Initiatives

................................
................................
.............................

79

5.3.2.1. The US National Center for Biomedical Ontology

................................
..............

79

5.3.2.2. FQHC Electronic Health Records certification

................................
....................

79

5.3.2.3. NCOR’s Committee on Ontology for Health Informatics

................................
....

80

6. DECISION SUPPORT
SYSTEMS

................................
................................
................................
........
81

6.1.

G
ENERAL
I
NFORMATION ON
CDSS

................................
................................
................................
.....
81

6.2.

E
VOLUTION OF
CDSS

................................
................................
................................
.........................
81

6.3.

CDSS

C
OMPONENTS

................................
................................
................................
...........................
82

6.4.

P
ROJECTS

................................
................................
................................
................................
............
85

7. CLINICAL GUIDELIN
ES

................................
................................
................................
.....................
88

7.1.

G
ENERAL
I
NFORMATION ON
C
LINICAL
P
RACTICE
G
U
IDELINES

................................
...........................
88

7.2.

C
OMPUTERIZED
C
LINICAL
P
RACTICE
G
UIDELINES

................................
................................
..............
91

7.3.

C
ONCLUSIONS

................................
................................
................................
................................
.....
93

8. BUSINESS PROCESSE
S

................................
................................
................................
.......................
94

8.1.

B
USINESS
P
ROCESSES WITH
W
EB
S
ERVICE
O
RCHESTRATION
................................
..............................
94

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European Best practices in providing semantic interoperability in eHealth domain

9

8.1.1. Web Service Orchestr
ation Standards

................................
................................
.........

96

8.1.1.1. BPEL4WS

................................
................................
................................
............

96

8.1.1.2. WSCI

................................
................................
................................
....................

98

8.1.1.3.

BPML

................................
................................
................................
.................

100

8.2.

EB
XML

B
USINESS
P
ROCESS
S
PECIFICATION
:
EB
BP

................................
................................
...........
100

8.3.

B
USINESS
P
ROCESSES IN
H
EALTHCARE

................................
................................
.............................
101

8.3.1. IHE Scheduled Workflow

................................
................................
.........................

101

9. PATIENT IDENTIFIE
RS

................................
................................
................................
....................
104

9.1.

I
NTRODUCTION

................................
................................
................................
................................
.
104

9.2.

B
ASIC FUNCTIONALITY O
F
P
ATIENT
I
DENTIFIER

................................
................................
................
104

9.3.

U
SAGE LEVEL

................................
................................
................................
................................
....
104

9.4.

C
OMPONENTS

................................
................................
................................
................................
....
105

9.5.

U
NIQUE
P
ATIENT
I
DENTIFIER IMPLEMENTA
TIONS

................................
................................
.............
107

9.5.1. Using a Provider Prefix and the Medical Record N
umber

................................
........

109

9.6.

S
UMMARY

................................
................................
................................
................................
.........
112

10. REFERENCES

................................
................................
................................
................................
....
114

11. ANNEXES

................................
................................
................................
................................
............
1
21


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European Best practices in providing semantic interoperability in eHealth domain

10

List of
Tables


Table 1


COCOON activities

................................
................................
................................
.......

19

Table 2


COCOON Participants

................................
................................
................................
..

20

Table 3


SEMANTICMINING Participants

................................
................................
................

24

Table 4


INFOBIOMED Participants

................................
................................
..........................

28

Table 5


DOC@HAND Participants

................................
................................
...........................

32

Table 6


DICOEMS Participants

................................
................................
................................
.

36

Table 7


ARTEMIS Participants

................................
................................
................................
..

39

Table 8


SAPHIRE Participants

................................
................................
................................
..

43

Table 9


CARE
-
PATHS Participants

................................
................................
..........................

46

Table 10


ACGT Participant
s

................................
................................
................................
......

52

Table 11


NETC@RDS Participants

................................
................................
...........................

57

Table 12


C3 Participants

................................
................................
................................
............

60

Table 13


i2Health Participants

................................
................................
................................
...

63

Table 14


TMA Bridge Participants

................................
................................
............................

70

Table 15
-

Properties of Good Quality Clinical
Practice Guidelines [2]

................................
.......

91

Table 16
-

Types of Guidelines

................................
................................
................................
.....

91




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Deliverable D2.1.1:
European Best practices in providing semantic interoperability in eHealth domain

11

List of Figures


Figure 1


COCOON Ra
dar Diagram

................................
................................
...........................

21

Figure 2


SEMANTICMINING Radar Diagram

................................
................................
.........

25

Figure 3


INFOBIOMED Radar Diagram

................................
................................
...................

29

Figure 4


DOC@HAND Radar Diagram

................................
................................
....................

33

Figure 5


DICOEMS Radar Diagram

................................
................................
..........................

37

Figure 6


ARTEMIS Rad
ar Diagram

................................
................................
...........................

40

Figure 7


SAPHIRE Radar Diagram

................................
................................
...........................

44

Figure 8


CARE
-
PATHS Radar Diagram

................................
................................
...................

47

Figure 9


ACGT Radar Diagram

................................
................................
................................
.

53

Figure 10


NETC@RDS Radar Diagram

................................
................................
....................

58

Figure 11


C3 Radar Diagram

................................
................................
................................
.....

61

Figure 12


i2Health Radar Diagram

................................
................................
............................

63

Figure 13


ASD Radar Diagram

................................
................................
................................
..

68

Figure 14


TMA Bridge Radar Diagram

................................
................................
.....................

71

Figure 15
-

CDSS Components in action (Huser)

................................
................................
.........

84

Figure 16
-

Overview of the CDSS

integrated Healthcare (Huser)

................................
...............

85

Figure 17
-

National and international clinical guidelines organisations (Clinical Practice
Guidelines)

................................
................................
................................
................................
....

89

Figure 18
-

Recursive Composition of Web Services

................................
................................
...

96

Figure 19
-

BPEL4WS Process Flow

................................
................................
............................

97

Figure 20
-

Web Services Ch
oreography Interface (WSCI)

................................
...........................

99

Figure 21
-

Patient Identifier Cross
-
referencing Actor Diagram

................................
.................

110



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European Best practices in providing semantic interoperability in eHealth domain

12


1.

EXECUTIVE SUMMARY


The current document co
nstitutes an extensive study of European and worldwide current practices
in providing Semantic Interoperability in eHealth domain. The specific deliverable is divided into
two axes.

The first axis involves the projects and national initiatives towards the

semantic interoperability
in eHealth domain. The second axis involves the discrete areas of interest that will be covered by
RIDE Roadmap.

After a short introduction in Chapter 2,
Chapter 3
describes
a set of
related
Research Projects
at
the
European and
international
level. The specific chapter contains a brief overview, the partners’
list and the relevance of each project as this is estimated by RIDE consortium.

Chapter 4
refers to the national efforts concerning semantic interoperability in e
-
health. H
owever,
due to the large number and size of the descriptions of these initiatives, they are given as Annexes
to this document. Hence Chapter 4
contains a complete table that describes the Annexes
with
the
National Initiatives of individual countries.

The n
ext chapters cover specific areas of interest
to the
RIDE Roadmap. Thus, Chapter 5 contains
a complete description of the current efforts in the area of Ontologies. The specific chapter is of
major importance since Ontologies constitute the main tool for s
ucceeding semantic
interoperability. Moreover, Chapter 6 contains the overview in the area of Decision Support
Systems in eHealth domain. Additionally, Chapter 7 contains the description of several efforts in
the area
of
Clinical Guidelines whereas Chapter

8 describes the Business Process
es

in eHealth.
Finally, Chapter 9 contains
an
overview of the area of Patient Identifiers.

Finally the deliverable includes
the references and the Annexes that contain the National
Initiatives of individual countries.

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2.

INTRODUCTION


RIDE is a roadmap project for interoperability of eHealth systems leading to recommendations
for actions and to preparatory actions at the European level. This roadmap will prepare the ground
for future actions as envisioned in th
e action plan of the eHealth Communication COM 356 by
coordinating various efforts on eHealth interoperability in member states and the associated
states. Since it is not realistic to expect to have a single universally accepted clinical data model
that w
ill be adhered to all over the Europe and that the clinical practice, terminology systems and
EHR systems are all a long way from such a complete harmonization; the RIDE project will
address the interoperability of eHealth systems with special emphasis on
semantic
interoperability.

Taking under consideration the procedure to be followed in order to produce a successful
roadmap, the first required step is the study of the state
-
of
-
the
-
art technologies and related efforts
towards the Roadmap’s direction.

RID
E consortium performed an extensive research and study of effort in the areas of (i) R&D
projects around the world and (ii) National Initiatives in interoperability in eHealth of individual
countries worldwide.

Furthermore, apart from the projects and nat
ional initiatives state
-
of
-
the
-
art technologies were
studied in the areas of (i) Ontologies, (ii) Decision Support Systems, (iii) Clinical Guidelines, (iv)
Business Processes, and (v) Patient Identifiers.

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3.

RESEARCH PROJECTS


3.1.

IST Projects


3.1.1.

IST COCOON


Full
Project
Title

Supporting physicians in reducing risk

Framework


Sixth Framework Programme

Priority / Strategic
Objective

IST Call1


Priority 2.3.11 eHealth



3.1.1.1.

Project Overview


COCOON

is an
d
Integrated Project

aimed at
supporting health care professional

in
reducing
risk management
in their daily practices by building knowledge driven & dynamically adaptive
networked communities

within
European healthcare systems
.


The risk management for a

health care professional is completely related to its responsibilities
assumption in mainly patient diagnosis and treatment processes.

The
growth
of
patient
judgment autonomy

and
level of information

together with the
assessment of

cost/benefit
before to d
ecide intervention actions
are three important factors that force the health care
professional in pay much more attention in providing the right answer to the patient problem. The
increase in the last
5 years

of both
juridical trials
, in the measure of
10
times
, and the
health care
insurance costs

for the
health care professional
, in the measure of
5 time
, for
covering the
medical error effects
, are two important
indicators of the relevance of the problem

at
European level.

To
prevent this issues

the health

care professional have established various association forms

such as real associations or just informal communities that help the health care professional in
sharing the risk and doing the right thing for the patient.


None of them are really supported by

an IT solution powered for enhancing the risk
management process
.
COCOON project wants to bridge the gap.


Under this scenario the main objective of COCOON project is to
support knowledge driven
collaborative practices in Networks of Healthcare Profession
als in order to minimise
medical errors in diagnosis and treatment
.

On this basis the main
COCOON project research directions are twofold
:



on one side the
socio
-
economics research on health care risk management

and the
related business model for reducing
risk by enabling the COCOON technologies;

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on the other side the
technological research

that wants to deal an innovative
tool
-
set for
risk management.


3.1.1.2.

COCOON Objectives


COCOON

is and
Integrated Project

aimed at
supporting health care pro
fessional

in
reducing risk management
in their daily practices by building knowledge driven & dynamically
adaptive
networked communities

within
European healthcare

systems
.


The
risk management

for an
health care professional

is completely related to
its
r
esponsibilities assumption

in mainly
patient diagnosis

and
treatment processes
. The
growth
of
patient judgment autonomy

and
level of information

together with the
assessment of

cost/benefit before to decide intervention actions
are three important factors
that force the
health care professional in pay much more attention in providing the right answer to the patient
problem. The increase in the last
5 years

of both
juridical trials
, in the measure of
10 times
, and
the
health care insurance costs

for the
heal
th care professional
, in the measure of
5 time
, for
covering the medical error effects
, are two important
indicators of the relevance of the
problem

at European level.

The
side effects

of this problem are:



to
increase the cost for the patient in all the ca
re process

(diagnosis; treatment;
intervention) a medical error could bring the patient in pay for more diagnosis, for
longer treatment, for not required intervention;



to
increase the cost of the social health care system

for the local authorities as well

as for the national government and the EU


more longer the patient stays in the care
process, more cost the public authorities in general have to pay;



to
increase externalities in several sectors
. For example more longer the patient
stays in the care pro
cess, less day he could dedicate to the job activities or to his
family or even to his personal hobbies.

To
prevent this issues

the health
care professional have established various association forms

such as real associations or just informal communities t
hat help the health care professional in
sharing the risk and doing the right thing for the patient.

None of them are really supported by an IT solution powered for enhancing the risk
management process
.
COCOON project wants to bridge the gap.


Medical err
or

is one of the most important issues in the
European health care system

to be
faced off in the coming years. By the matter of fact a lot of efforts have been done in the heath
care system in prevention and non intrusive treatments. The
enabling technolog
y

as well as
treatment and diagnosis methodology
are increasing more and more their effectiveness and
efficiency

in supporting health care professionals in their daily practices.
Nevertheless every day
European citizens live with the risk of being victim o
f a medical error
, more or less serious,
of diagnosis, treatment or preventive actions.


Numbers of studies carried out in
USA
, all taking as starting point
"the Harvard study"
1
, found
that the proportion of hospital admissions experiencing an adverse eve
nt, defined as injuries
caused by medical management, is around and average value of 4% each year on top of 33.6




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millions of admission to U.S. hospitals. An extrapolation of these value made in the cited studies
shows that more than 1.2 million of American
s suffers yearly side effects related to the medical
risks and almost 100.000 (around 5% of those suffer medical risks) are the Americans that yearly
die in the hospitals as a result of medical errors.

This phenomena implies a total national costs (lost i
ncome, lost household production, disability,
health care costs) estimated to be
between $37.6 billion and $50 billion for adverse events

and
between
$17 billion and $29 billion for preventable adverse events
.


Also in
Europe

the risk of medical errors is

being considered as an important issues. A recent
study

of over 1000 record in two acute hospitals of
UK

found that
almost 11% of patients
experienced an adverse event
, over half of which were deemed preventable judged by ordinary
standards of care. More
worryingly, at lest a third of thee events led to disability or death. This
was a pilot study but the results can be considerate representative. The extrapolation of these data
suggests that in
England and Wales

adverse events lead to an extra 3 million be
d
-
days at a
minimum cost of £ 1 billion per year.


An other important example could be found in
the Italian experience
: according to a recent
study of the
Italian Patient Right Court
, in Italy there are at least
14.000 persons who die
every year because of

adverse event
s; a real massacre which sees between the specialists of the
errors in pole position orthopedic (16,5%), oncology (13%), gynecology (10,8%) general surgery
(10,6%).
Most of these errors are diagnostics errors (35%), and treatment errors (18%)
. The
most frequent errors concerns the wrong drug administration, the diagnosis and the belated
therapy due to the missing identification of the symptoms; TAC or X
-
Ray can be wrong
interpreted, errors in the transfusions and during the surgical operations
.
The Italian sanitary
system, hit from wastes, mistakes and disorganization, is able “to burn” 10 billions of euro
for year, 1% of GDP
.


Basing on data made available by Insurance Companies, approximately
25.000 doctors (around
7% of the health care prof
essional in Europe) are yearly involved in as many judicial
causes.

Procedures with demands for compensations of damns for 7,5 billions of Euro: a money
exit that risks to paralyse the sanitary system of a lot of European member states.


The vice preside
nt of the Italian union of hospital physicians has recently launched the alarm:
"
medical professional risk is more and more high and the jurisprudence is becoming more and
more repressive . This means that doctors do not work any more with the necessary s
erenity".

A possible solution to this problem is to
increase the knowledge of the health care
professionals

as
family doctor as well as specialists
. Three are the main directions of
Knowledge improvement for the heath care professionals:



Improving the
kno
wledge

on
the patient medical history
. Some European Health care
systems are currently working for the creation of the so called
patient card
.
Some
example are also considered in the regions involved in the consortium such as Lombardy,
Aquitaine and Epirus
. In particular the patient card is one of the technological features of
the short
-
medium (years in between 2005
-
2007) terms scenario of the European
regional/national heath care systems and it is also one of the
starting points of the
COCOON project

in it
s development.



Improving the
training activities

of the heath care professionals during their working life
long. By the matter of fact the training activities for health care professionals is staring to
become more and more close with the need to force the

doctors to maintain and increase
theirs level of knowledge. There are at European level a lot of initiatives to create a
creditisation systems for the yearly qualification of the health care professionals that
should became an usual practices in the comin
g years.
COCOON project considers this
initiatives as a prerequisites for its developments

during the project life time.

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Increasing
collaborative practices

amongst the health care communities, supporting
knowledge sharing and transfer. This should be one
of the
major evolution that
characterises healthcare in Europe in the coming future
. This trend is strongly
supported by European healthcare authorities that clearly associate increasing needs for
collaboration to
quality of care

and
risk reduction
. The r
ationale for such public action is
that since healthcare is the archetype of a knowledge intensive sector,
providing the right
information to the right place at the right time to the right persons

is a critical quality
factor. Consequently, public authorit
ies support initiatives and propose incentives for
health care professionals of health care sectors at any level inside Europe to join
knowledge driven and dynamically adaptive
learning communities
in which health care
professionals and citizens are fully
knowledge driven in taking promptly the best possible
decision for prevention, diagnosis and treatment.
The current evolution enables
foreseeing that in the long term, each healthcare professional will be involved in a
diversity of knowledge driven Network
s of Healthcare Professionals that would support
him in dealing efficiently with complex cases, thus reducing the risk of medical errors
and rising quality of care.


Under this scenario the main objective of COCOON project is to
support knowledge driven
co
llaborative practices in Networks of Healthcare Professionals in order to minimise
medical errors in diagnosis and treatment
.


By the matter of fact even if the infrastructural technologies in the ITC fields are not a relevant
issues today
2

and they will b
ecame more and more effective and efficient in the coming years
(such as the usage of broad band communication infrastructure with the possibilities of
transferring high quality and quantity of data),
application and services that will support the
enabling

technology to promote the collaboration of practices in health care risk
management are still missing
.
COCOON project wants to
bridge the gap
.


On this basis the main
COCOON project research directions are twofold
:



on one side the
socio
-
economics researc
h on health care risk management

and the
related business model for reducing risk by enabling the COCOON technologies;



on the other side the
technological research

that wants to deal an innovative
toolset for
risk management.


In the following are summa
rised the
major project research characteristics
, the
expected
results

and
outcomes
and the way for achieving it.


Although the public action and emerging collaborative practices concern many healthcare
communities involved in specific health care proces
ses in networked organisations
(encompassing hospitals, health care professionals, family doctors, research centres, public
administrations, patients and their families, etc...), the general evolution should not hide the wide
diversity of communities and u
nderlying behavioural logics, e.g.:




Peer Collaboration

mechanisms

start being implemented through peer consultation
processes among specialists for instance in specialty networks dealing with diagnosis,
treatment and surgery of rare disease;




2

According to the Telemedicine glossary, 4
th

Edition, 2002,
the heath care professionals have internet connection for
around 60
-
80% and more in B, DK, D, L, FIN, SWE, UK and around 30
-
60% in I, F, IRL, A, P, GR, SP.

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Coaching

mech
anisms

are also implemented by specialists to support other professionals
and sometimes patients’ families, for instance for palliative care of patients maintained at
home;



Strict Coordination

mechanisms

are also implemented to support just in time process
es
such as those relating to the procurement of organs.


To support the diversity of networked communities foreseeable in healthcare, the COCOON
Project will conduct Research on the applicability of the community of practices mechanisms in
the heath care p
rofessionals and will have the following
Scientific Objectives
:



To
assess risk management processes

in the variety of healthcare networks, and
to subsequently
define “Community & Knowledge Management” models and
tools

for supporting healthcare professional
s in their daily practices while reducing
risks of medical errors.



To
define decision support methods

for implementing the most adequate
“Community & Knowledge Management” practices in a given healthcare network.


In this framework COCOON project will pr
omote and carry on a careful set of studies on the
field of risk management process. It is worth to notice that, at present all the studies and
initiatives undertaken in Europe are at local or even at personal (doctor) level.

As pointed out by the Executi
ve Board of the WORLD HEALTH ORGANISATION (December
2001):

“….. Enhancing the safety of patients includes
three complementary actions are foreseen
:
preventing medical errors, making them visible; and mitigating their effects when they occur
.

This require
s:

1)

increased ability to learn from mistakes
, trough better reporting system, skilful
investigation of incidents and responsible sharing of data

2)

greater capacity to anticipate mistakes

and probe systemic weaknesses that might
lead to an adverse event;

3)

ide
ntifying existing knowledge resources
, within and outside the health sector;

4)

improvements in the health care delivery system

itself, so that structures are
reconfigured, incentives are realigned and quality is placed at the core of the health
care system…”

Despite growing interest in the safety of patients there is still widespread lack of awareness of the
problem of medical errors.
Capacity for reporting analysing and learning from experience is
still seriously hampered by lack of methodological uniformit
y

in identification and
measurement inadequate adverse event reporting schemes undue concerns over breaches in
confidentiality of data the fear of professional liability, and weak information system
.
Understanding and knowledge of the epidemiology of adver
se events


frequency of occurrence,
causes, determinants and impact on patient outcomes, and of effective method for preventing
them
-

are still limited.
Although there are examples of successful initiatives for reducing the
incidence of medical errors, no
ne has been scaled up to embrace an entire health system”


In the following table the
six RDs are explained in terms of metrics

and measurable objectives;
state of the art and expected progress made by COCOON activities.


RD

Metrics for the
measurable obj
ectives

State
-
of
-
the
-
art in the
area concerned

Progress beyond
current state of the
art

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1. Knowledge driven
process support







2. Semantic based
search & semantic
interoperability




3. Knowledge
publishing service






4. Multi

channel
delivery




5. Decision support
systems for risk
management



6. Security Research
and Security
Technological
Research


Evaluation test of system
knowledge support related
to human critical building
of knowledge, through
relevance matching





Full interoperability
test
and evaluation of
functional semantic layer
over inferential search
engine through smart
search operating test


Test of the retrieval
middleware NLU based and
analysis of matching on the
expected knowledge





Full access test coherent
with the actu
al state of the
art




Benchmark on the
functional features on the
three levels (research,
technology and integration)


Test on security
middleware using common
attack strategies



Content organization

(taxonomy/ontology) via
attribute and metadata
manage
ment.

Search & Retrieve

engines,
Patterns
recognition, Profiling




Web
-
Services, GRID
Computing, Web
-
Semantics/Ontology and
the Personalization of
Internet Services


Semantic interoperability
standards
(web services
standards, RDF
)






Full devices rang
e over
WPAN ,WLAN, WWAN,
related access
architectures and
standards


DSS core structure that is
related inference engine
standards



Password synchronizing,
SSO, restoring password,
PKI, smart cards,
biometric, VPN,
RC4/WEP, DSSS, Network
name, ACL

,
RBAC


Dynamic of the web
service mutual
understanding, related
to interoperability of
tagging, automatic
taxonomy generation
improvement and
pattern
recognition
.



Harmonization of
most used protocols,
letting their semantics
to be integrated into a
u
nique architecture


An ontology
management system
(OMS) able to
'translate' the user's
intention (natural
language input)

to the
expert's system
expectation.


Improve open wide
network access
through full
development of
devices capabilities
and optimiz
ation


Development of a
completely modular,
standards
-
based
medical Decision
Support System based
on an automated
learning process

Realization of a full
integrated security
system

over the business
processes

Table
1



COCOON acti
vities

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3.1.1.3.

Participant list

The following legal entities and organizations are participating in COCOON Project:


Participant.
Role*

Participant.
Number

Participant name

Participant
short name

Country

CO

1

ASSOCIAZIONE IMPRESA
POLITECNICO

AIP

I

CR (SC)

2

CENTRE FOR RESEARCH AND
TRAINING IN INFORMATION
TECHNOLOGY

CEFRIEL

I

CR

3

SIEMENS INFORMATICA

SIEMENS

I

CR

4

TELECOM ITALIA

TI

I

CR

5

MICROSOFT

MICROSOFT

D

CR

6

ICSF/CEGEDIM

ICSF

F

CR

7

EUROPEAN DYNAMICS

EUDYN

EL

CR

8

EMPHASIS

EMPHASIS

E
L

CR

9

ELYROS

ELYROS

EL

CR CR

10

LOGICOM

LOGICOM

EL

CR

11

PATMOS

PATMOS

I

CR

12

GL2006EUROPE

GL

UK

CR

13

L&C

L&C

F

CR

14

TECHNION UNIVERSITY

TECHNION

ISR

CR

15

UNIVERSIDAD POLITECNICA
DE MADRID

UPM

E

CR

16

FONDAZIONE IARD

IARD

I

CR

17

ITALIAN NATI
ONAL
TRANSPLANT NETWORK

CNT

I

CR

18

AQUITAINE CANCER NETWORK

ACN

F

CR

19

LOMBARDY REGION

LOMBARDY

I

CR

20

AEC/AQUITAINE REGION

AEC

F

CR

21

EPIRUS REGION

EPIRUS

EL

CR

22

EUROPEAN MEDICAL
ASSOCIATION

EMA

INT

CR

23

EUROPEAN REGIONAL
INFROMATION SOCIET
Y
ASSOCIATION

eris@

INT

Table
2



COCOON Participants



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3.1.1.4.

Relevance to RIDE Project


The relevance of COCOON to RIDE project is presented through the following radar diagram:



Figure
1



COCOON Radar Diagram


As depicted above COCOON project is relevant to RIDE since it focuses on Decision Support
Systems and Business Processes as it is mentioned above in the project description.


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3.1.2.

IST SEMANTICMINING


Full
Project
Title

Sem
antic Interoperability and Data Mining in Biomedicine

Framework


Sixth Framework Programme

Priority / Strategic
Objective

IST Call1


eHealth


Semantic Based Knowledge Systems


3.1.2.1.

Project Overview


The aim of the Network of Excellence enti
tled Semantic Interoperability and Data Mining in
Biomedicine (NoE 507505) is to establish Europe as the international scientific leader in medical
and biomedical informatics. The long
-
term goal of the network will be the development of
generic methods and

tools supporting the critical tasks of the field; data mining, knowledge
discovery, knowledge representation, abstraction and indexing of information, semantic
-
based
information retrieval in a complex and high
-
dimensional information space, and knowledge
-
based adaptive systems for provision of decision support for dissemination of evidence based
medicine.
The NoE is in response to challenges expressed in the IST Workprogramme,
particularly the strategic objectives of Semantic
-
based Knowledge Systems (IST
-
2
002
-
2.3.1.7),
eHealth (IST
-
2002
-
2.3.1.11) and Bioinformatics in the Life Sciences Workprogramme
(LIFESCIHEALTH
-
1.1.4).

SEMANTICMINING
addresses research issues on three levels; on the pre
-
clinical level of
bioinformatics (functional genomics, proteomics e
tc.), on the clinical level of primary and
secondary health care (hospital information systems, electronic health records etc.), and on the
level of health statistics (population
-
based statistics, epidemiological surveying etc.). The
identified areas of re
search share the basic problem of semantic interoperability, which means
that semantics is preserved in communication between users and information systems.


The NoE is based on the partnership of 25 participants from 11 European countries with 110
identif
ied researchers (25 female) and 31 associated PhD students (10 female).

SemanticMining is coordinated by Linköping universitet, Sweden.


3.1.2.2.

SEMANTICMINING Objectives


The general objective of the network is to bridge gaps in the European resea
rch infrastructure and
to facilitate cross
-
fertilisation between scientific disciplines. Traditionally academic departments
in the domain have their roots either in computer science, system engineering (including a variety
of engineering disciplines) or in

a medical or clinical context. There are important research areas
where the overlap in terms of projects and persons still falls short of what would be desirable, for
example between the fields of formal ontologies and computational linguistics on the one

hand,
and clinical and biomedical informatics on the other. The network is composed of partners from
these scientific areas, all bringing their experience and in
-
depths knowledge together into a
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common framework. An important aspect of this is the merging

of medical or clinical informatics
and bioinformatics including the new fields of genomics and proteomics. Thus one of the
primary reasons for the establishment of this NoE is to facilitate networking among
representatives of the different communities of

computational linguistics, ontology engineering,
artificial intelligence, data mining and medical informatics and bioinformatics in order to feed the
biomedical informatics community with results of state
-
of
-
the
-
art research in these disciplines.
Another
bridging activity addressed is knowledge
-
transfer and co
-
operation between academia
and organisations in the health and welfare sector, such as standardisation bodies and public and
user
-
driven health care organisations. The national institutes and organis
ations responsible for
policy making and quality management with a regulatory and normative function play an
important role in the network.

The network specifically contributes to current efforts in the fields of medical informatics and
bioinformatics to d
evelop generic methods and tools for managing and interpreting the vast
amount of digital data produced by the health care system and by biotechnological laboratories.

SEMANTICMINING also addresses the need for approaches in Europe which will bridge
langua
ge and facilitate access for non
-
English native speakers to the large scientific corpus of
texts written in English.

3.1.2.3.

Participant list

The following legal entities and organizations are participating in SEMANTICMINING Project:


Participant.

Role*

Participant.
Number

Participant name

Participant
short name

Country

CO

1

Biomedical Engineering, Medical
Informatics, Linköping University

LIU (IMT)

Sweden

CR

2

Computer Science, Linköping
University

LIU (IDA)

Sweden

CR

3

Committee Nomenclature,
Properties and Units in Lab
Medicine, Linköping University

LIU (C
-
NPU)

Sweden

CR

4

Karolinska
Institutet, Stockholm

KI

Sweden

CR

5

Sahlgrenska University Hospital,

Göteborg

SU

Sweden

CR

6

Dept of Swedish, Göteborg
University

UGOT

Sweden

CR

7

Dept of Medical Informatics,
Universi
tätsklinikum Freiburg

UKLFR

Germany

CR

8

Jena University Language and
Information Engineering (JULIE),

Friedrich
-
Schiller
-
Universität, Jena

UNIJENA

Germany

CR

9

IFOMIS
, Saarland

IFOMIS

Germany

CR

10

Institute of Informatics and
Applied Mathematics,Christian
-
Albrechts
-
University of Kiel

CAU

Germany

CR

11

Division of Medical Inf
ormatics,
DIM

Switzerland

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Geneve University Hospital

CR

12

Dept of Computer Science,
University of Manchester

UOM

UK

CR

13

C
entre for Health Informatics and
Multiprofessional Educ
ation,
University College London

UCL

UK

CR

14

The Open University, Milton
Keynes

OU

UK

CR

15

Public Health and Medical
Informatics Laboratory, Broussais
University Hospital,

Paris

INSERM

France

CR

16

Institute of Cognitive Science,
Laboratory for Applie
d Ontology

CNR
-
ISTC

Italy

CR

17

European Bioinformatics Institute

EMBL
-
EBI

UK

CR

18

National Institute for Strategic
Health Research, Budapest

ESKI

Hungary

CR

19

WHO Collaborating Centre for
Classification of Diseases in the
Nordic countries, Uppsala
University

NORDCLASS

Sweden

CR

20

The National Board of Health and
Welfare

SOS

Sweden

CR

21

National Research and
Development Centre for Welfare
and Health

STAKES

Finland

CR

22

KITH AS

KITH

Norway

CR

23

National Board of Health

NBH


Denmark

CR

24

Merrall
-
Ross International Ltd

MRI

UK

CR

25

European Dynamics S.A.

EDSA

Greece

Table
3



SEMANTICMINING Participants










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3.1.2.4.

Relevance to RIDE Project


The relevance of SEMANTICMINING to RIDE project is presented through the following radar
diagram:



Figure
2



SEMANTICMINING Radar Diagram


As prese
nted in the above diagram SEMANTICMINING project is more relevant to RIDE in the
fields of Decision Support Systems and Business Processes. Moreover, the overall concept of
SEMANTICMINING is the semantic data mining and interoperability. So, the projects a
re
closely related according to their overall scope.

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3.1.3.

IST INFOBIOMED


Full Project Title

BIOMEDICAL INFORMATICS TO SUPPORT
INDIVIDUALISED HEALTHCARE

Framework



Priority / Strategic
Objective



3.1.3.1.

Project Overview


The EC
-
f
unded BIOINFOMED Study (EC
-
IST 2001
-
35024) has recently carried out a
prospective analysis of the relationships and synergy between Bioinformatics (BI) and Medical
Informatics (MI). The study concludes that there is a great potential for synergy between bo
th
disciplines with a view on continuity and individualisation of healthcare, so that the benefits of
the human genome elucidation can reach the population, but that a collaborative effort between
the two disciplines is needed to bridge the current gap bet
ween them. Biomedical Informatics
(BMI) is the emerging discipline that aims to put these two worlds together so that the discovery
and creation of novel diagnostic and therapeutic methods is fostered.

The INFOBIOMED network aims to set a durable structur
e for the described collaborative
approach at a European level
, mobilising the critical mass of resources necessary for enabling the
collaborative approach that supports the consolidation of BMI as a crucial scientific discipline for
future healthcare.

The

idea of this project stems from the European
BIOINFOMED

study, which was coordinated
by the Institute of Health Carlos III, Madrid, Spain. This project carried out a prospective analysis
of the relat
ionships and synergy between Bioinformatics and Medical Informatics. The results of
BIOINFOMED are reflected in the
White Paper

of the project,

including a detailed R&D agenda
for the advancement of BMI.


3.1.3.2.

INFOBIOMED Objectives


The specific objectives of INFOBIOMED are:

1.

To enable systematic progress in clinical and genetic data interoperability and
integration.

2.

To advance the ex
change and interfacing of methods, tools and technologies used
in both MI and BI.

3.

To enable pilot applications in particular fields that demonstrate the benefits of a
synergetic approach in BMI.

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4.

To create a European BMI community that extends beyond the
proposed core
network to serve as an open forum for dialogue between the actors involved.

5.

To widely spread the knowledge acquired and developed in the framework of the
network to the scientific community, healthcare professionals, citizens, industry,
auth
orities and other stakeholders.

6.

To enable a robust framework for education in BMI, as well as training and
mobility of involved researchers that allows for the creation of a solid European
BMI research capacity.

7.

To create a long
-
lasting, self
-
sustainable

structure in the European BMI field.

3.1.3.3.

Participant list

The following legal entities and organizations are participating in INFOBIOMED Project:


Participant.
Role*

Participant.
Number

Participant name

Participant
short name

Country

CO

1

R
esearch Unit on Biomedical
Informatics (GRIB), Fundació
IMIM

FIMIM

Spain

CR

2

Research Unit on Biomedical
Informatics (GRIB), Institut
Municipal d'Investigació


Mèdica

IMIM

Spain

CR

3

Medical Bioinformatics Dept./
Health Informatics Coordination
Unit, Instituto de Salud Carlos III

ISCIII

Spain

CR

4

Center for Genomics and
B
ioinformatics,
Karolinska
Institute

KI

Sweden

CR

5

Scottish Center for Genomics
Technology & Informatics (GTI),
Medical School, The University
of Edinburgh

UEDIN

UK

CR

6

Custodix R&D

CUST
ODIX

Belgium

CR

7

Artificial Intelligence
Lab./Facultad de Informática,
Universidad Politécnica


de Madrid

UPM

Spain

CR

8

IEETA, Uni
versidade de


Aveiro

UAVR

Portugal

CR

9

Institute of Computer


Science (ICS)
/ Center for Medical Informatics &
Health Telematics Applications /
Bioinformatics


unit, Foundation for Research and
Technology
-
Hellas

FORTH

ICS

Greece

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CR

10

Danish Centre for Health
Telematics, Danish Centre for
Health Telematics

FUNEN

Denmark

CR

11

Informa R&D

INFORMA

Italy

CR

12

HNPCC
-

register, Hvidovre
Hospital

HNPCC

Denmark

CR

13

Department of Periodontology /
Laboratory of

Inmunogenetics,
VU University Medical Center,
Vereniging voor Christelijk
Wetenschappelijk Onderwijs

VU

Netherlands

CR

14

Safety Assessment,
AstraZeneca

Research and
Development

AZ

INT

CR

15

Department of Periodontology /
Laboratory of Inmunogenetics,
Universiteit van Amsterdam

UVA

Netherlands

CR

16

Genetics Department, University
of

Leicester


ULEICS

UK

Table
4



INFOBIOMED Participants

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3.1.3.4.

Relevance to RIDE Project


The relevance of INFOBIOMED to RIDE project is presented through the following radar
diagram:



Figure
3



INFOBIOMED Radar Dia
gram


As presented above, INFOBIOMED project is more relevant in the domain of Clinical
Guidelines. Moreover, is significantly relevant in the domains of Decision Support Systems and
Electronic Health Record. Additionally, INFOBIOMED is focused in the area

of semantic
interoperability, a fact that relates it closely with RIDE project.



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3.1.4.

IST DOC@HAND


Full Project Title

BIOMEDICAL INFORMATICS TO SUPPORT
INDIVIDUALISED HEALTHCARE

Framework



Priority / Strategic
Objective


3.1.4.1.

Project Overview


In a scenario where the Healthcare industry tends to rapid decentralization, with multiple actors
involved in the care delivery processes, the importance for professionals to collaborate, access
and share data and knowledge becomes more
and more important for improving patient
management and better efficiency.

The aim of Doc@Hand

is to support Healthcare professionals in this changing environment, by
providing a set of IT tools that help reducing the time and associated costs to collect
the
information and knowledge required, and, more crucially, in making the best use of it for a more