Session Name: "Unconference" Open Session - Value Based Priorities for Data Exchange
OHIE18 Event Page -  ohie.org/OHIE18 
Time / Room: 12:30 - 1:15 Faru
Presenter: Michael Stelmach
Notes:
  • What do we hope to get out of this meeting?
  • Understanding the different approaches
  • Some people only really seen the patient care side
  • Some only seen the governmental health side
  • What tools can we use to make this happen and be more valuable?
  • What do we mean by value-based HIE?
  • Improve patient care
  • Allergies for example, can be very real-time sensitive
  • BID project example, for immunization
  • Practitioners needs full (relevant) patient information to provide proper care
  • Improve management and administration (this often conflicts with patient care priorities)
  • Outbreaks or programme management (HIV etc.)
  • Needs a much more limited set of data
  • Facilitates resource management
  • Facility registry and healthcare provider registry
  • Portability of service
  • Continuity of care
  • Reduces duplicate data capture
  • Facilitates referrals (community linkage)
  • Reduce false loss-to-follow-up numbers
  • How are value-based priorities identified and ranked?
  • Insurance priorities
  • Requires some specialist knowledge/experience
  • Patient benefits
  • Ethical/greater good
  • Economic benefits
  • Administrators want to make money or reduce costs
  • Rollout priorities
  • Very complex system
  • Hard to motivate to organisations, clinicians and patients
  • Tanzania is being rolled out top-down
  • Different organizations will have different views on the priorities
  • Healthcare provider priorities
  • Statistics
  • Bed occupancy
  • Death rates
  • Are the systems mature enough to interop properly?
  • May need to be earmarked for improvements before the specific use cases can be implemented
  • Value-based HIE
  • Tanzania Examples
  • BID Project - immunization management
  • Point to point integration
  • Looking at the demands, projections would quickly get unmanageable, so this was a priority to get resolved
  • Bed Occupancy
  • Death by Disease Case
  • Revenue
  • Services received
  • Notes
  • Many of these were mandated by the minister of health as priorities
  • These are multi-component systems
  • Integration decisions were not based on maturity of the system, they were based on indicators required
  • After decisions, some systems were found to not be very mature
  • Recommendations were then made to improve the systems to move them towards better integration maturity
  • For example, some didn't have any export functionality at all
  • Validation was sometimes very poor
  • All of the above slowed down the process
  • Kenya
  • Some manual processes
  • Provides basic data to make management decisions
  • Does very little to improve patient care

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