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

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20 Νοε 2013 (πριν από 4 χρόνια και 7 μήνες)

252 εμφανίσεις

[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.

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

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
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

Course C
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

eaningful Use

Business and clinical scenarios

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

Healthcare Analytics and Quality

55 hours


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).


Acceptance into program and HCTM 320

or permission of instructor.

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

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

Content O

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

ive analytics

Beyond meaningful use

Case studies