Healthcare-data-standards-and-qualityx - Health Information ...

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20 Νοε 2013 (πριν από 3 χρόνια και 7 μήνες)

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[Note: please delete everything that is not essential for those in healthcare data analytics roles]


Health IT Data Standards


55 hours

Course description:

Fundamentals of healthcare standards as they relate to patient records, coding and
classification systems, privacy and security, technical infrastructure and medical device integration.
Includes basics of decision support and data mining, the National Heal
th Information Exchange, the
federal Standards and Infrastructure Framework, Health Information Exchange systems (HIEs), Regional
Health Information Organizations (RHIOs), and Meaningful Use.



Course
Learning Outcomes:



Assess current standards that are b
eing applied to patient information and analyze impacts on
healthcare practices and implementation of health IT in various healthcare settings



Present and analyze effective and efficient techniques to acquire, store and utilize medical data
in a Healthcar
e setting



Examine the essential objectives and practical uses for data warehousing, decision support and
business intelligence



Identify secure and private techniques for handling patient information in Healthcare
organizations



Assess the implications of

the convergence of bioinformatics and clinical engineering with
Healthcare Informatics



Apply key infrastructure components and related technical standards as they relate to the
handling of healthcare information



Analyze the principles and methodologies u
nderlying standards for healthcare data interchange
regulations and practices



Apply accepted practices in reading and understanding data specifications, and implementing
data standards



Develop solutions for management and mining of data generated in scie
ntific laboratories and
clinical trials for data mining and knowledge discovery



Design approaches to access needed information effectively and efficiently



Debate opportunities and challenges of converged clinical and information technologies in the
contex
t of data management



Research the role of various organizations responsible for motivating and causing integration
and information exchange among stakeholders



Debate the main elements of meaningful use regulation and its implementation phases and
timelin
e


Course C
o
ntent Outline:



Fundamentals of healthcare standards



Patient records

Coding and classification systems



Privacy and security



Technical infrastructure and medical device integration



Decision support and data mining,



The National Health Information Exchange



The federal Standards and Infrastructure Framework



ICD (International Classification of Diseases)
-
10/5010 codes



Health Information Exchange systems (HIEs) and Regional Health Information Organizations
(RHIOs)



M
eaningful Use



Business and clinical scenarios



Emerging trends in data mining and processing, inclu
ding bioinformatics challenges


Healthcare Analytics and Quality



55 hours

Course
D
escription:

Explores the scope and role of data and data analytics in healthcare in the context
of national quality policies, as articulated in Meaningful Use Stages 1 and 2, and the National Quality
Forum metrics that have been selected for Accountable Care Organizat
ion assessment and rewards,
Health Information Technology for Economic and Clinical Health (HITECH) Act, and the Patient
Protection and Affordable Care Act (PPACA).


Prereq
uisite
:

Acceptance into program and HCTM 320

or permission of instructor.


Course
L
earning Outcomes:



Present the various applications of data analytics in healthcare, and research and discuss the
various data emphases of different healthcare organizations



Research and debate different approaches to assessing patient safety and quality o
f care
through data analytics



Examine current and upcoming government initiatives that push data analytics in healthcare



Articulate the main elements and phases of Meaningful Use Stages 1 and 2 and analyze their
impact on the healthcare system and healthcare providers



Analyze the Accountable Care Organization model and debate its strengths and limitations



Investigate issue
s of information security and privacy as they relate to data analytics



Research and present examples of application of clinical decision support systems and examine
the effectiveness in supporting patient care



Debate the impact of Health Information Tech
nology for Economic and Clinical Health (HITECH)
Act, and the Patient Protection and Affordable Care Act (PPACA) on healthcare analytics



Develop and present a draft plan on how to implement data analytics initiatives in a hospital
setting to improve opera
tional efficiencies



Research trends in healthcare data analytics and develop a presentation that outlines potential
benefits and risks, as well as necessary changes in health IT systems and infrastructure to
support the implementation of such trends



Exam
ine case studies of use of data analytics in healthcare and analyze the successes and
failures in each case


Course
Content O
utline:



Applications of data analytics in healthcare



Government initiatives that push data analytics



Meaningful Use stages 1 and 2



National Quality Forum metrics



Accountable Care Organizations



Health Information Technology for Economic and Clinical Health (HITECH) Act, and the Patient
Protection and Affordable Care Act (PPACA)



Impact of data analytics

on healthcare delivery



Information security and privacy



Patient safety



Quality management and reporting



Clinical Decision Support Systems



Operational efficiencies



Information sharing between physicians



Retrospective and forensics analytics



Predict
ive analytics



Beyond meaningful use



Case studies