[ReenaK]

Sathyabama Institute of Science and Technology B.Tech IT SBIA3010 Health Informatics Syllabus

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF COMPUTING

SBIA3010 HEALTH INFORMATICS
L T P Credits Total Marks
3 0 0 3 100

UNIT 1 INTRODUCTION & OVERVIEW: HEALTH INFORMATION TECHNOLOGY & HEALTH INFORMATICS 9 Hrs.
Define information management, information technology and informatics - Various ways in which HIT has evolvd to improve
quality or enhance patient safety - Informatics drivers and trends - Standards development organizations: Health Level 7
(HL-7), Healthcare Information Technology Standards Panel (HITSP), and Office of the National Coordinator for Health
Information Technology (ONC) Health IT Standards Committee-Health informatics – Needs, objectives and limitations -
Medical Terminology for Health Informatics Professionals.

UNIT 2 CLINICAL DECISION SUPPORT SYSTEMS (CDSS) AND WORKFLOW 9 Hrs.
Fundamental requirements of an effective Clinical Decision Support System-principles of health care data exchange and
health care data standards relate to patient care, productivity and data analysis- common controlled vocabularies in use
today: ICD, CPT, NDC, RxNorm, LOINC and SNOMED CT-advantages and disadvantages (unintended consequences) of
Clinical Decision Support Systems (CDSS) in terms of cognitive support.

UNIT 3 HEALTHCARE DATABASE MANAGEMENT SYSTEM 9 Hrs.
Health information systems – design, architecture and interoperability - Electronic health records (EHRs) - Electronic
medical record (EMR) with electronic health record (EHR)- emergence of Personal Health Records and their implications for
patients, health care providers and Decision Aids and health systems- EHR access agreement.

UNIT 4 COMPUTER APPLICATIONS IN HEALTH CARE AND BIOMEDICINE 9 Hrs.
The language of biomedical informatics: data, information & knowledge; standards and vocabularies - Evidence based
practice (EVP) and clinical practice guidelines (CPG) - Evaluation methods for health informatics - Machine learning for
extraction of medical knowledge - MATLAB programming for health informatics.

UNIT 5 CASE STUDIES AND ETHICAL ISSUES 9 Hrs.
Modeling, simulation and visualisation in health informatics - Ethical Issues in Health Informatics - Fundamentals of data
science in medicine - Genomic and Systems Medicine - Advanced data analysis in medicine - Data driven decision making
and evaluation in medicine - Legal Aspects of Health Information Systems - E-Healthcare & Ethics - E-Medicine Business
Models - Case Studies in Health Information Management.
Max. 45 Hrs.

COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - Develop knowledge about problems and challenges that health addressed by informatics and apply the knowledge
to the research and practice in health informatics.
CO2 - Demonstrate basic skills and knowledge in health informatics for application in future health-related careers.
CO3 - Demonstrate ability to ask, search for information and answer health-related questions.
CO4 - To identify genomic variants associated with a disease phenotype and communicate this association.
CO5 - Perform visualization and simple analysis of a data set to assess difficulty of predicting disease (cardiovascular and
other) risk in a synthetic patient dataset.
CO6 - Apply communication skills through an interview with an informatics professional and development of a written
summary and analyse ethical and diversity issues in health informatics.

TEXT / REFERENCE BOOKS
1. Hoyt, RE and Yoshihashi, A, Eds. (2014). Health Informatics: Practical Guide for Healthcare and Information
Technology Professionals, 6th Edition.Pensacola, FL,Lulu.com.
2. Wager KA, Lee FW, Glaser JP. Health Care Information Systems: A Practical Approach for Health Care Management.
San Francisco, California: Jossey-Bass 2009.

3. Shortliffe EH, Cimino JJ. Biomedical Informatics: Computer Applications in Health Care and Biomedicine, 4th Edition.
New York, New York: Springer Science +Business Media, LLC 2014.
4. Uri Alon. An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman and Hall/CRC
Mathematical and Computational Biology) Jul 2006.

END SEMESTER EXAMINATION QUESTION PAPER PATTERN
Max. Marks:100 Exam Duration:3 Hrs.
PART A: 10 Question of 2 marks each – No choice 20 Marks
PART B: 2 Questions from each unit of internal choice, each carrying 16 marks 80 Marks