CORE Group Global Health Practitioner Conference 2019

1. Dynamic data in challenging settings
How technology enables data-driven decision-making

2. A little about BAO
Interdisciplinary expertiseGlobal Presence in 60+ Countries

3. What we do
DHIS2 implementation Training & capacity
building
Integration & interoperability App & product development Analytics & insights
Technical
advising
Hosting Security & compliance

4. Why do we need data?
and Data Challenges in humanitarian settings

5. Data Challenges in Humanitarian Settings
• Data poor settings
• Response activities are prioritized over
reporting
• Rapid deployment of systems required
• Real-time data is needed to make
decisions

6. Quick DHIS 2 Overview
Data Models

7. DHIS 2 Overview

8. DHIS 2 data models
Aggregate Data
• Contraceptives dist.
• People counselled on
family planning
• Adolescents reached
Events Data
• QoC assessments
• Trainings
• Educational outreach
events
Tracker Data
• Antenatal care visits
• Family planning referrals
& follow-up
• CHW household visit
tracking

9. Using Data
For rapid prioritization, prevention, and response

10. Localization of conflict: What and where is it
happening?
• The challenge:
Understanding the who,
what, where, why, and
when of conflict to
mobilize resources and
target interventions
• Solution: Localization
and mapping of
incidences to strategize
response

11. Preventing Epidemics
• Problem: Outbreaks are more
likely to happen in emergency
settings.
• Solution: Geolocation of where
patients are from who receive
a diagnosis

12. Prioritization of resources in low data settings
• Problems: Need to rapidly
triage and diagnose clients, as
well as identify which resources
are needed to help them.
• Understanding existing
conditions in low data settings
• Solution: Identification of the
top morbidities in a given
location.

13. Diagnosing trends using data
• Problem:
Understanding loss
to follow up and
disease profiles to
improve care
• Solution: Cohort
analysis

14. Systems maintenance and data privacy
• Problem: Tracking data across
countries and programs in
highly sensitive and low
connectivity settings.
• Solution: HQ data sync process
with HQ instance that de-
identifies data and syncs
metadata updates

15. Reporting to the National HMIS
• Problems: Critical data is being
collected for program
operations and M&E that could
be useful to the government.
• Solution: Collecting individual
level data and building on the
HIS subsystems in countries
enables data sharing with
governments.

16. Decision Support for health workers
• Problems: Facility managers
have challenges ordering the
correct amount of stock
• Community health workers
travel far to retrieve stock only
to find out there are stockouts
• Solution: Providing decision
support using data from
multiple integrated HIS

17. What’s next?
• Leveraging existing data
sources to enhance analysis
• Integrating data from other
sources - LMIS, HRIS,
Surveillance, Weather
• Integration with government
systems (ex. HMIS)
• Supporting data use and
analytics by governments and
partners
• Ensuring systems are available
for rapid response

18. FOR MORE
INFORMATION
CONTACT
Tamara Goldschmidt
tgoldschmidt@baosystems.com