+ Cheryl AMOROSO, John DERIGGI, Nicole GREY, Danielle RICHEY, Peter BAREBWANUWE, Donn Gaede GIS – EMR Pilot Project Partners in Health – Rwanda GIS for Improving Health Service Delivery
Feb 22, 2016
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Cheryl AMOROSO, John DERIGGI, Nicole GREY, Danielle RICHEY, Peter BAREBWANUWE, Donn Gaede
GIS – EMR Pilot Project Partners in Health – Rwanda
GIS for Improving Health Service Delivery
+ Why GIS project in the health centers we support?
Improve patient services Improve patient services Improve patient services Assess and address
public health risks Do some research….
to improve patient services and address public health risks
+Pilot in Rwinkwavu Sector Jan-June 09Aim:
Determine if collecting and using GIS data is feasible in our environment
Estimate time of collecting data
Estimate costs of “doing this properly”
+ Resources for PilotResources:
2 MPH candidates for 5 months
1 local project assistant 4 GPS units $1500 3 pairs of rubber boots
Getting this work done with only this and community health worker supervisor time,willingness and effort?
Priceless
+ Mapping and Training Outcomes of GIS Pilot
Mapped all of the 48 villages, 14 schools,100+ water sources,homes of 157 CHWs, and homes of 600+ HIV, TB and chronic care patients
Developed Kinyarwanda GIS training guide
Informal and formal (by CGIS) training for community health workers supervisors to collect GPS data
+ Collaboration and case study outcomes of GIS project
Collaborated with the Rwanda GIS center to obtain high resolution base maps of our catchment from the US State Department
Built strong relationships with local government and provided feedback
Conducted a case-study project based on following 3 community health worker to document distances and challenges
+ Data use outcomes of pilot
Examine patient density in relation to health centers
Examine patient quality of care (CD4 counts on time, visit attendance)
+Associating Coordinates to Patients
1 ) Patient address goes into the system
2 ) If the address is valid then get the coordinates
umudugudu_id latitude longitude0104020507 -1.9534521 30.651238… … …
3 ) Associate the coordinates to the patient's address
address_id precision lat lon34 1 -
1.953452130.651238
… … …
+Associating Coordinates to Patients
This patient's coordinates were derived from their address
address_id precision lat lon34 1 -
1.953452130.651238
237 0 -1.9812122
30.234525
This patient's coordinates were collected at their house with a gps device
+Using The Google Earth and Maps API
Public internet
connection
Retrieve patient data in JSON
Retrieve imagery from Google
Web Browser
Patient data
+Rendering Data In The Google Earth API
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Clicking on an icon renders patient data including great circle distance to the hospital
Interactive Maps Using The Google Maps API
+Filtering The Data
Filtering by CD4 count, on time CD4, Distance to Hospital, Time Since Last Visit
+ Open Source Spatial Data Infrastructure
PostGIS
Shape Files
GeoServer
OpenLayers WMS Module
Data Sources
WMS/WFS
WMS/WFS
Imagery
uDig (Desktop App)
+Advantages of GeoServer
No dependence on a connection to the internet Having spatial data outside of OpenMRS is more
scalable Data is accessible from any application capable of
communicating in WMS or WFS format
+uDig Displaying Data From GeoServer
+OpenMRS Displaying Data From GeoServer Using OpenLayers
+ What we learned
This work is possible – but we need to resource it
There is an opportunity for GIS to integrate with OpenMRS
The community is interested in GIS technology, and capable of understanding and using it with some initial support
+GIS and PIH: Future plans Continue to map
villages in District Hospital catchment area
Link GIS data with primary care data in EMR
Make the technical architecture a reality
Produce sharable products related to GIS and OpenMRS