Sahana Open Source Humanitarian Software Project - Pandemic Preparedness Forum

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How
- Challenges of Information Management
- Benefits of Data Standards
- Sahana Open Source Software
- Open Global Health Facility Registry

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  • http://eden.sahanafoundation.org
  • As there are more stakeholders, sharing information becomes exponentially more complicated.Sometimes the problem isn’t not enough Information, but too much information (Drinking from a Firehose) – esp. with social mediaWhat’s the solution?
  • Look at 2 hospitals wanting to share information.1. Maybe they have their own computer systems – but maybe they are different systems (private/public hospitals, hospitals in different regions) – it’s hard to standardise HMIS.2. They need to share information – so maybe they pick up the phone, or send an email3. This may work for 2 hospitals, but what about 10, 100?
  • Data standards allow computers to talk to each other – across different systems.
  • What’s the solution?
  • Triage ApplicationLost Person Finder
  • Disaster Rick Reduction WebsiteGeographic data such as the cyclone tracks can be imported from other systems
  • Located approximately 100 hospitals within 24 HoursUsed by Haitian Ministry of Health and the Pan American Health Organization
  • Why wait until a disaster/pandemic?Prepare by collecting this information Crowdsourcing – like wikipedia – but emphasise “trusted network”
  • Why wait until a disaster?
  • Sahana Open Source Humanitarian Software Project - Pandemic Preparedness Forum

    1. 1. Sahana Open Source Humanitarian Software Project<br />Pandemic Preparedness Forum<br />Bangkok, Thailand, 5th April 2011<br />Michael Howden<br />michael@sahanafoundation.org <br />
    2. 2. Overview<br />Challenges of Information Management<br />Benefits of Data Standards<br />Sahana Open Source Software<br />Open Global Health Facility Registry <br />
    3. 3. Public<br />Doctors<br />Government Agencies<br />Farmers<br />Media<br />Vets<br />UN Agencies<br />Hospitals<br />Pharmaceutical Companies<br />
    4. 4. ?<br />?<br />?<br />?<br />?<br />?<br />?<br />ED Status<br />Bed Capacity<br />Services<br />?<br />
    5. 5. EDXL-HAVE Data Standard<br /><HospitalBedCapacityStatus>           <BedCapacity>                  <Bed>AdultICU</Bed>                 <Capacity> <CapacityStatus>Vacant/Available</CapacityStatus>                        <AvailableCount>10</AvailableCount>                        <BaselineCount>30</BaselineCount>                 </Capacity>           </BedCapacity> <br />ED Status<br />Bed Capacity<br />Services<br />
    6. 6.
    7. 7. EDXL-HAVE<br />Emergency Data Exchange Language <br />Hospital Availability Exchange<br />XML based - Open / Free to use<br />Governed by Oasis www.oasis-open.org <br />A “Language” for sharing information<br />Other relevant data standards:<br />CAP: Common Alerting Protocol<br />PFIF: Person Finder Interchange Format<br />
    8. 8. Sahana Software Foundation<br />Supporting Open Source Software & Open Standards for Disaster Management<br />Supported by a community of organisations, companies and volunteers<br />Used in many contexts, including:<br />New York City for Coastal Storm Planning<br />National Library of Medicine (USA)<br />DRR (Disaster Risk Reduction) Project Portal<br />Organisation & Hospital Registry in Haiti<br />
    9. 9. National Library of Medicine (USA)<br />
    10. 10. PFIF<br />
    11. 11. DRR Project Portal<br />
    12. 12. Hospital Data in Haiti<br />Sahana Software<br />Hospital Data Shared in Open Format <br />
    13. 13.
    14. 14.
    15. 15.
    16. 16. Open Global Health Facility Registry <br />Create a list of <br />EVERY Health Facility in the World<br />Building on the Sahana Open Source Software proven in Haiti<br />Hospital Registry<br />“Web Services” to Import/Export data<br />Rapid Application Development Platform<br />“Crowdsourcing” the data collection<br />Collaboratively by a trusted network<br />Government, NGOs, Companies, Communities<br />
    17. 17.
    18. 18. Sahana Global Health Facility Registry <br />Data Management Process:<br />
    19. 19. Questions?<br />

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