| | Searching Current Courses For Fall 2016 |
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Course: |
HIT 263
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Title: | Healthcare Data Standards |
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Long Title: | Healthcare Data Standards and Quality |
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Course Description: | Explores current and emerging trends in healthcare data standards and quality as they relate to patient records, coding and classification systems, and information privacy and security. Topics include: acquisition, storage and access of medical data; key data management infrastructure and technical standards; and data quality and governance. Also covered are current and emerging government regulations, and their impact on healthcare providers and systems, and data acquisition and analysis needs and strategies. |
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Min Credit: | 3 |
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Max Credit: | |
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Course Notes: | NCE 10.1.15 JLG |
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Origin Notes: | ACC |
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STANDARD COMPETENCIES
1 Assess current standards that are being applied to patient information and analyze impacts on healthcare practices and
implementation of health IT in various healthcare settings
2 Present and analyze effective and efficient techniques to acquire, store and utilize medical data in a Healthcare setting
3 Identify secure and private techniques for handling patient information in Healthcare organizations
4 Apply key infrastructure components and related technical standards as they relate to the handling of healthcare information
5 Analyze the principles and methodologies underlying standards for healthcare data interchange regulations and practices
6 Apply accepted practices in reading and understanding data specifications, and implementing data standards
7 Discuss ethical issues as they relate to the acquisition, analysis and dissemination of data in healthcare settings
8 Articulate the main elements and phases of Meaningful Use Stages 1 and 2 and analyze their impact on the healthcare system
and healthcare providers and determines implications for data analysis needs
9 Present and discuss design and data management strategies that support or negatively impact data quality and data governance
10 Examine case studies of use of data analytics in healthcare and analyze the successes and failures in each case
TOPICAL OUTLINE
I. Current and emerging standards in healthcare information and quality
II. Impact on healthcare practices
III. Techniques to acquire, store and utilize medical data
IV. Security and privacy in data management
V. Key infrastructure components and related technical standards
VI. Healthcare data interchange regulations and practices
VII. Healthcare data specifications and standards
VIII. Meaningful Use Stages 1 and 2
IX. Impact of MU on the healthcare system and healthcare providers
X. Impact of MU on data acquisition and analysis needs
XI. Coding and Reimbursement Relationships
XII. Data quality and data governance
XIII. Ethical issues
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