Powerpoint Slides - PatientOS EMR

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31 Ιαν 2013 (πριν από 4 χρόνια και 5 μήνες)

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Electronic Medical Record

http://www.patientos.com



Overview





Software


Target Market


Functionality


Demo


Consultants

15 years avg exp

HIS implementations


Commerical HIT

Cerner. Siemens. EPIC.
Meditech.

Open Source Solution

PatientOS EMR.

Experience

counts

Software


The Big Picture



Deployment



Technologies




The Big Picture

Rapid Implementation

Clinical Content
Standards

Open Source
Framework

Deployment

Server.

Thin client.
Centrally
managed.

ASP.

Amazon cloud
computng.

Client.

Traditional
client/server.

Postgresql

Scalable. Open Source. Replication.

GUI Tools.

JBoss J2EE

SOAP WSDL JAX
-
WS


UDDI JMX EJB3.0


iReport

Mirth

Hibernate


Apache

Eclipse

JGoodies

Rhino

SwingX


Technologies

JAVA

Target Market


Hospitals



Healthcare Facilities



Physician Offices




Hospitals

Hospitals of all sizes.

Electronic Medical Record, workflow management


Pharmacy Information System for 5 rights medication
management.

Departmental Application Consolidation.


Replace legacy applications, meet specialty service
needs.

Features


Administrative



Patient Care



Medication Management



Integration





Administrative

Registration

Dead or alive,
human or
otherwise.

Scheduling

Fast, simple,
colorful.

Billing

Integrated
charges.
Interfaces.
Invoices.


Patient
Portal

Integrated.
Patient
enterered
forms

Patient Care
-

Orders

Graphical Documentation

Scanned Documents

Notes

Flowsheets

Medication Management

Allergies

Coded for
drug
-
allergy
checking.

Prescriptions

Surescripts
certification
process started.

Medication
Order Entry

Medispan drug
db. Drug
-
drug
interaction
checking

Pharmacy
Approval

Scanning.
Approval.
Dispensing.


Medication
Administration

Scanning. Patient
identification.
Medicaion
Administration.

Integration

HL7

ADT, Charges, Orders,
Lab Results,
Documentation.

Integration

Open Source
Integration Engine

Web

Services

J2EE compliant
Web Services
.


Questions?

Bonus Slides


The Big Picture



Deployment



Technologies




Bonus Slides


The Technical Architecture



OpenEHR



Features






The Technical Architecture


Distributed System


Software Architecture


Key Benefits







Distributed System

Database Server

ApplicationServer(s)

Hibernate (JDBC)

Fat Clients

RMI over TCP/IP

Windows Linux

JBoss


PostgreSQL


Thin Clients

X
-
Win NxClient


Patient Portal

Mirth

Oracle (future)

Solaris


Mac


Terminal Services

External Systems



Service Orientated

Data

Business Logic

Presentation

B I L L I N G

C L I N I C A L

M E D I C A T I O N

O R D E R S

R E G I S T R A T I O N

R E P O R T I N G

S C H E D U L I N G

S E C U R I T Y

S Y S T E M

Layered Architecture

Data

DB

Hibernate

JDBC

PatientOS Data Access

Reports

Mirth

PatientOS Business Logic

PatientOS Domain Models
..

Business Logic

PatientOS Service Layer

PatientOS Service Facade

Presentation

PatientOS Dynamic MVC

Key Benefits of Architecture


Rich User Experience


Rich User Interface (UI) with extensive customization


Flexibility


Unprecedented power to customize the UI,

implement complex business rules and integrate

multi
-
disciplinary workflows.


Admins learn tools not code.


Manageability


Fast to install. Fast to configure. Easy to maintain.


Scalability


Distributed processing. Enterprise ready.


Stability


Pure Java solution , code generation,

key design patterns, performance monitoring tools.


Standards


Technical framework and Clinical Content standards.



openEHR Integration

Features


Registration, Scheduling, Reminders, Patient Lists.


Lab result viewing, flowsheet (observation) viewing.


Clinical and Administrative Forms, Templates.


Physician Order Entry, Prescription Writing, Progress Notes.


Inpatient Medication Orders, Pharmacy, Medication Scheduling


Clinical Documentation


Inking, Multimedia, Workflow.


HL7 Interfaces


ADT, Orders, Results, Observations, Charges.


Patient Portal, email integration, web services.


Custom reports, batch jobs, data mining.