DMICE Bringing Informatics Education to India

bill4The Oregon Health & Science University (OHSU) Department of Medical Informatics & Clinical Epidemiology (DMICE), in collaboration with Krishmatics, will be delivering a new online course, Health Informatics and Analytics, to an audience in India. The course will be led by DMICE Chair and well-known informatics educator, Dr. William Hersh. At the end of the online portion of the course, Dr. Hersh will conduct an in-person session in India.

The course adapts and combines components of OHSU’s well-known curricula in both health informatics and data analytics. The overall goal of the course is to provide a deep introduction to the application of information technology and data analytics in healthcare. Students will learn about clinical data, electronic health records, data standards and interoperability, clinical decision support, quality measurement, and information retrieval, and how they are employed in healthcare data analytics.

The course is offered in two parts:

  • An 8-unit Web-based component provided through on-line lectures, readings, interactive discussion, and self-assessment tests accessed via OHSU’s Sakai Learning Management System
  • An intensive one-day in-person session bringing participants together to integrate the material, allow presentation of course projects, and meet the instructor as well as other students in person

The course uses the following teaching modalities:

  • Voice-over-PowerPoint lectures – The key material is delivered using Flash, HTML 5, or a special iPad player. As such, the content is easily accessed by any type of connection to the Internet.
  • Interactive threaded discussion – Students engage in discussion on important issues using the on-line threaded discussion forums. An on-line faculty moderator helps keep the discussion on track.
  • Reading assignments – The course uses a variety of readings made available to students.
  • Homework/quizzes – Each of the units is accompanied by a 10-question multiple-choice self-assessment that aims to have the student apply the knowledge from the unit.

The topics of the course include:

1. Overview of Field and Problems Motivating It
1.1 What is Biomedical and Health Informatics?
1.2 A Discipline Whose Time has Come
1.3 Problems in Healthcare Motivating Biomedical and Health Informatics
1.4 Who Does Biomedical and Health Informatics?
1.5 Seminal Documents and Reports

2. Electronic and Personal Health Records (EHR, PHR)
2.1 Clinical Data
2.2 History and Perspective of the Health (Medical) Record
2.3 Definitions and Key Attributes of the EHR
2.4 Benefits and Challenges of the EHR
2.5 EHR Examples
2.6 Personal Health Records

3. Health Care Data Analytics
3.1 General Health Care Data Analytics
3.2 Extracting and Working with Data
3.3 Population Health and the Application of Health IT
3.4 Applying Health IT to Improve Population Health at the Community Level
3.5 Identifying Risk and Segmenting Populations: Predictive Analytics for Population Health
3.6 Big Data, Interoperability, and Analytics for Population Health
3.7 Data Analytics in Clinical Settings
3.8 Risk Adjustment and Predictive Modeling

4. Standards and Interoperability
4.1 Standards and Interoperability: Basic Concepts
4.2 Identifier and Transaction Standards
4.3 Message Exchange Standards
4.4 Terminology Standards
4.5 Natural Language Processing of Clinical Text

5. Advancing Care With the EHR
5.1 Healthcare Quality
5.2 Clinical Decision Support (CDS)
5.3 Computerized Provider Order Entry (CPOE)
5.4 Clinical Workflow Analysis and Redesign
5.5 System Selection and Implementation
5.6 Evaluation of Usage, Outcomes and Cost
5.7 Public Health Informatics

6. Protection and Analytical Use of Data
6.1 Privacy, Confidentiality, and Security
6.2 HIPAA Privacy and Security Regulations
6.3 Evidence-based Medicine
6.4 Clinical Practice Guidelines
6.5 Digital Imaging
6.6 Telemedicine: Definitions, Uses, and Barriers

7. Research Informatics
7.1 Clinical Research Informatics
7.2 Bioinformatics – The Big Picture
7.3 Overview of Basic Molecular Biology
7.4 From Clinical Genetics and Genomics to Precision Medicine
7.5 Genomics Data in the EHR and Other Information Systems

8. Information Retrieval (Search)
8.1 Information Retrieval
8.2 Knowledge-based Information
8.3 Content
8.4 Indexing
8.5 Retrieval
8.6 Research: Evaluation and Future Directions

9. Informatics and Analytics in the Indian context (in person)
9.1 Age of digitization in India
9.2 Health Informatics and Analytics in India
9.3 Employment and entrepreneurship opportunities
9.4 Global opportunities
9.5 Course content and expectations
9.6 Technical help