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Understanding Health Information Systems: Strengthening Informatics and Public Health

This course covers the essentials of Health Information Systems (HIS) and their role in making evidence-based decisions for health interventions. Topics include aggregate data, patient records, laboratory information systems, and organizational operations. Emphasis is on routine data analysis and geographical analysis. Challenges include seminar format, reading material availability, diverse backgrounds, and orienting towards informatics and public health. The course includes lectures, labs on DHIS2, group assignments, and a home assignment exam.

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Understanding Health Information Systems: Strengthening Informatics and Public Health

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  1. INF5761/INF9761Health Management Information Systems - Health Information Systems Strengthening

  2. Informatics + Public Health => INF5761 Health Information Systems require understanding of bothdomains Complementary skills [group work]

  3. Health Information Systems (HIS) “produce relevantinformation that health system stakeholders can use for making transparent and evidence-based decisions for health system interventions” - Health Metrics Network (WHO)

  4. HIS has multiple meanings For the health managers, it means aggregate data; Health Management Information System (HMIS) For the nurses and doctors, it means data related to patients; (electronic) medical records (EMR) For the lab technicians, it means data related to blood samples and test results; laboratory information system Similarly, for human resources, logistics, finance, etc Organizational Operation (mangers/ economists) HIS is a broader term which encompasses various information systems and meanings HIS Public Health “data people” Technologists (automation, efficiency) Individual Service Delivery “action people”

  5. Health ManagementInformation System (HMIS) Collection and use of information in order to make decisions regarding the effective and efficient allocation of resources Emphasis is on routine (health services) aggregate data and analysis over time and across geographical space (GIS)

  6. INF5761/INF9761 Course Format Plenary Sessions/Lectures (3 hours) Data Lab (2-3 hours) Full day Lab on Monday 3. March!

  7. Some “perceived” challenges with following the course It’s in a seminar format! The lectures are held in different rooms all the time! Course readings are not on Fronter! This course is focusing too much on developing country contexts! Group members have different background! This course is too oriented towards informatics/ public health! Too many teachers involved! Too much to read in too little time! Solution: help each other out as groups! Try to discuss ideas in the literature! Ask stupid questions!

  8. Lecturers and Group teachers Miria Guest Lecturer Johan Lecturer Gunnar Guest Lecturer Terje Course Administrator Olav Vincent

  9. Course Schedule & Curriculum All reading material as PDFs on the course web Key concepts are highlighted in lecture slides Slides will be put on web prior to lecture

  10. DHIS2 Lab • Crash course in DHIS2, for group work • hiskenya.org • Exercises with DHIS2 Using mainly the first hour of lab sessions • Work on group assignment the rest of the time, but teachers will be present to assist

  11. Group Assignment Assignment Will be presented during lab sessions on Friday the first week Four – five students per group Group composition: Informatics / health ratio? statistics background ? Familiarity with DHIS2? Analysis of data from Sierra Leone using DHIS2 & Pivot Tables (excel) • Topics to be covered include data quality, assessment of health status and indicators, setting goals and targets and discussing possible M&E strategies and health interventions • Group presentation at end of course: • Not all need to present, but all have to contribute their fair share • Followed by plenary discussion

  12. Exam • Group work needs to pass (presentation) members of the best group gets LinkedIn recommendation!  • Exam Form: Home assignment • Handed out after course end in March • Approx 2 months to complete! • Individual • Builds on lectures and readings! • Builds on group assignment during course Similar analysis, but more informed by literature, key concepts and models

  13. 9 Key Concepts from Todays Readings You should be able to explain to a friend what these concepts mean in relation to Health Management Information Systems: 1. Primary Health Care (preventive/curative care) 2. Routine Health Information 3. Individual/patient care / Continuity of Care 4. (Electronic) Medical Record 5. Epidemic disease / disease surveillance 6. Fragmentation 7. Integrated Health Information Architecture 8. Data Warehouse / Data Repository

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