Course Description
Examination of informatics in the U.S. health environment, data security and privacy, informatics terminology and technology, data standards, and health data sets. Students receive hands-on experience analyzing de-identified data sets utilizing data visualization software and devising a management operations plan from their results.
Athena Title
Health Informatics I
Equivalent Courses
Not open to students with credit in HPAM 7410E
Prerequisite
[(HPAM 7010 or HPAM 7010E) and (BIOS 7010 or BIOS 7010E) and EPID(HPAM) 7700] or permission of department
Semester Course Offered
Offered every year.
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) incentive programs applicable to the field of health informatics. 2. Describe the structure and business/legal relationships among public health, healthcare delivery, government and non- government payers, and regulatory agencies. 3. Describe the sources, purposes, and flow of health data in public health and healthcare delivery environments. 4. Summarize and categorize the structure and taxonomies of healthcare standard vocabularies and coding systems. 5. Describe the basic principles and structure of electronic communication protocols, including Health Level 7 (HL7), HL7 Clinical Document Architecture (CDA), HL7 Clinical Context Object Workgroup (CCOW), and Fast Healthcare Interoperability Resources (FHIR). 6. Analyze datasets containing procedural and diagnostic codes, as well as other health administrative code sets. 7. Interpret the origins and principles of the Health Insurance Portability and Accountability Act (HIPAA) privacy and security rules and evaluate these rules in case studies. 8. Summarize the basic functions of the electronic health record in public health and healthcare contexts, including documentation, communication, data retrieval, and clinical decision support. 9. Categorize the basic principles and components of database design, data storage, and data retrieval. 10. Evaluate the major sources of publicly available health data and access these data sources to complete class projects. 11. Analyze healthcare clinical and financial data utilizing data mining and visualization software, as well as other appropriate data analysis tools. 12. Evaluate the principles of predictive models and machine learning technology. 13. Apply informatics knowledge, data retrieval, and data analysis concepts to design a health improvement program in a case study.
Topical Outline
1. Informatics/analytics terminology. 2. History and scope of informatics/analytics in public health, healthcare, 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
Public CV