Course Description
Examination of informatics in the U.S. healthcare environment, data security and privacy, informatics terminology and technology, data standards, and health data sets. In this doctoral-level course, students receive hands-on experience with primary data. Students will analyze de-identified data sets, utilizing data visualization software. Students will also create unique management operations plans from their results, and present their comprehensive plans to their peers.
Athena Title
Advanced Health Informatics
Equivalent Courses
Not open to students with credit in HPAM 8410E
Prerequisite
[(HPAM 7010 or HPAM 7010E) and (BIOS 7010 or BIOS 7010E) and HPAM 7700] or permission of department
Semester Course Offered
Offered fall and spring
Grading System
A - F (Traditional)
Course Objectives
In this course, students will develop the ability to: 1. Appraise policy principles and explain major legislative initiatives and health information technology (HIT) programs applicable to the field of health informatics. 2. Determine the structure and business/legal relationships among public health, healthcare delivery, government and non-government payers, and regulatory agencies. 3. Analyze the sources, purposes, and flow of health data in public health and healthcare delivery environments. 4. Evaluate the functions of the electronic health record in public health and healthcare contexts, including documentation, communication, data retrieval, and clinical decision support. 5. Evaluate the major sources of publicly available health data and access these data sources to complete class projects. 6. Evaluate health care data utilizing data mining and visualization software as well as other appropriate data analysis tools. 7. Design a health improvement program using informatics knowledge, data retrieval, and data analysis concepts.
Topical Outline
1. Informatics/analytics terminology 2. History and scope of informatics/analytics in public health, health care, and other industries 3. Legal frameworks for health informatics: Privacy/Security/HIPAA/Stark 4. Health information technology incentives, penalties, and adoption 5. Electronic Health Records (EHR), Health Information Exchanges (HEI), and Telehealth 6. Data types and databases 7. Information systems design 8. Data standards in health informatics 9. Knowledge retrieval and decision support system 10. Health outcomes evaluation: Cost/quality/value 11. Publicly available health data sources 12. Introduction to data analysis using Microsoft Excel 13. Data analysis: Descriptive statistics/data visualization, data interpretation using Microsoft Excel 14. Health risk models 15. Program design
Syllabus