INF5761
Health Management
Information Systems
What this course is about: HMIS
statistics &
aggregate data
( the evidence)
decision making
(the use)
2
Multiple Perspectives on HMIS
Organization
Management
Public Health
HMIS
Technology
Service
Delivery
Informatics + Health = INF5761
Health Information Systems require
understanding of both domains
Complementary skills
[group work]
Many problems with HIS around the world
stem from only one domain being involved
Format of Course Sessions
Plenary Sessions (3 hours)
2/3 Presentations
1/3 Discussions?
Data Lab (2 hours: Tuesday, Wednesday,
Thursday)
Schedule Seminar week 9
Monday : HMIS Intro
Tuesday: District HMIS
Wednesday: Data
Collection
Challenges for HIS
What health information is
- common challenges
needed?
- fragmentation
Epidemiology
- system approach
Planning
-Low Resource
Use of routine data in HS
- information culture
Program monitoring
- need for standardization EPI info management
definitions
value of data
different uses,
different systems
Thursday: Data
Processing
Outreach Health
Workers & HMIS
focal persons - the
backbone of public
health
Performance
Motivation
Feedback
Discussion theme:
Profiling who does
what in primary health
around the world?
Data processing
From data to
information
indicators
Minimal data set
Information flow
9.15-10
Intro, info
Presentations
Schedule
readings
group work
lab
exam
10.15-11
What is HIS?
Status around the world
Rational Evidencebased M&E
Global trends &
pressure MDG
Different systems
The district-based HMIS
why district?
the role of the district
in decision making
information needs
HR for HIS at
districts
a typical district example.
The Information cycle
Data collection
data sources
population/
intutitional
information flows
Data needs at
different levels
Information cycle
11.15-12
Health System around the
world
Community
District
National
Many Ministries
Global (MDGs)
Vertical/Horizontal
Social indicators
Discussion theme: Role of
Discussion Theme: Why
are HIS so fragmented?
Donor Health Programs
Incentives
Data quality
Data analysis
-why errors
goals, targets
-”burden of data collection” monitoring and
-Data audit
evaluation
-Timeliness & 3Cs
-duplication
-Coverage
-Treatment outcome
-Target perversion
Discussions
Friday: ICT & HMIS
interoperable architecture:
integration
Different technologies
Paper, computers, mobiles
Data warehouse
Data Sharing
Mobile health
Infrastructure
Power
Network
Low-end
Name based, aggregate
data
The problem of Pilots
Donor attention span
maintenance
Sustain
Scale
Geographical Information
Systems
Demo: GIS
Discussions
Schedule Seminar week 13
Monday: Data
Presentation & Use
Tuesday: Strengthening HIS
Wednesday: Global
HMIS
Thursday: HISP, way
forward
Friday: Presentations
9.15-10
Data interpretation
- what does the data
mean
- adjusting for data
quality
- revising informaiton
needs
-multiple rationalities
Technology
Primary health
Health workers
Management
-
Seminar ”debate”
Evidence based decision
making
HIS Policy & Politics
Policies for HIS
rules,
regulations
security
examples
Data regulations
Coverage politics
Discussions
What does the P stand for in
HISP?
Piloting, user involvement
Capacity Building
User training,
Handholding
Local champions
Researcher involvement/bias
Interventionist agendas
Presentation, group
work, discussions
10.15-11
Data Presentation /
visualize
tables
different charts
maps
pros and cons
Information products
reports, reviews,
league tables,
bulletins
feedback
strengths,
weaknesses
Development: examples
National & Global Policy
Cloud computing
Patient data
Central registration
of name based data
Central storage of
data on ethnic
groups,
HIS ethics
Global vs Local
Discussions
Future of HIS
Technologies
Uneven development
dilemmas:
personalization of data,
security
discussion
Presentation
11.15-12
Information Use
how to use
what for
examples
Discussion Theme: National
HIS development – never from
scratch – often starts with the
districts
Country Example:
Norway
Summary, Q/A
Presentation
Development of HIS
Curriculum
Reading material as PDFs on the course web
Key concepts are highlighted in lecture slides
Slides will be put on web as well
Handouts?
Lab
 Training in use of DHIS2, for group work
 First week
 Exercises related to DHIS2
Using mainly the first hour of lab sessions
 Free for group work rest of the time, but
someone will be present to assist
Group Assignment
Assignment Will be presented during lab on Wednesday first week
Four students per group
Group composition: Informatics / medicine ratio?
statistics? DHIS2?
Analysis of data from Sierra Leone using DHIS2 & Pivot Tables
• 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
Exam
 Group work needs to be accepted/passed
 Exam Form: Home assignment
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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