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2026-07-23 Developers Deep Dive Call - Resilience Monitor

2026-07-23 Developers Deep Dive Call - Resilience Monitor

 

Overview

Date: 2026-07-23

Time: 10:00 am (UTC)

Room: https://meet.jit.si/openIMISDevelopers - kindly indicate your name and organisation (jitsi claims to support Chrome, Chromium & MS Edge and Firefox browsers only. You might also want to try the jitsi app)

Participants: (kindly only add your own names, not those of other participants)

  • GIZ

    • @Uwe Wahser

  • Speedykom Group

    •  

  • m4h , Y-Note , Tinker Technologies

    •  

  • Swiss TPH

    • @Dragos Dobre

  • World Bank

Agenda:

When
(UTC)

Duration

Who

Topic

When
(UTC)

Duration

Who

Topic

10:00 am

 

@Dragos Dobre, Richard Meinert, @Uwe Wahser

Demo of the Healthcare Hackathon Results

Healthcare Hackathon in Berlin

In the week after our own community workhsop in Kathmandu, we had a chance to participate in an AI-in-Health Hackathon organized by the Unviersity Hospital Schleswig Holstein, Price-Waterhouse-Cooper and Google. Luckily and despite our late entry, a challenge around openIMIS developed by @Simona Dobre was choosen as Joker-Challenge among 30 other alternatives. We learned a lot about how to connect LLM’s to openIMIS and want to share the results with the community.

Abstract

openIMIS Resilience Radar: Early Warning for Health Financing Stress 

Healthcare systems often detect crises too late. Before a hospital corridor becomes overcrowded, before providers stop delivering services, and before vulnerable patients lose access to care, early warning signals may already be visible in health financing data: unusual claim spikes, reimbursement delays, rising rejection rates, sudden drops in service utilization, exhausted benefit packages, or providers under financial pressure. 

The “openIMIS Resilience Radar” turns openIMIS data into an early-warning and response cockpit for resilient healthcare financing. 

The challenge is to build a prototype that uses claims, provider, beneficiary, and benefit package data to detect stress patterns in the healthcare system. Instead of showing only static reports, the system should identify anomalies, explain why they matter, and recommend operational responses. 

Participants can work with anonymized openIMIS implementation data, synthetic openIMIS-like data or openIMIS APIs to create a dashboard that answers questions such as:

  • Where are claims increasing unusually fast?

  • Which providers are at risk because reimbursements are delayed?

  • Which regions show signs of service interruption?

  • Are vulnerable groups under-served during a crisis?

  • Which benefit packages are under budget pressure?

  • Which actions could reduce the risk of service failure?

The prototype should include a resilience stress score, anomaly alerts, provider and regional risk views, a claims backlog timeline, and a crisis scenario simulator. Example scenarios may include a cyberattack on claims submission, a heat-wave emergency, a refugee or displacement influx, hospital overload, or payer budget constraints.

The goal is not to build another business intelligence dashboard. The goal is to create an open-source resilience layer for health financing: a tool that helps decision-makers detect stress early, understand who is affected, and act before financial disruption becomes a healthcare access problem.

Possible outputs include:

  • A regional health financing stress map

  • Provider risk ranking

  • Claims backlog and reimbursement delay monitoring

  • Vulnerable population impact view

  • Benefit package burn-rate forecast

  • AI-generated resilience briefing for decision-makers

  • Recommended response actions, such as fast-tracking claims, activating emergency vouchers, reviewing coding errors, or reallocating emergency funds

This challenge is especially relevant for teams interested in open-source DGP & DPI, health financing, interoperability, FHIR, crisis preparedness, and data-driven healthcare governance.

Impact: When healthcare systems are under pressure, financial signals can become early indicators of service disruption. The “openIMIS Resilience Radar” helps transform routine administrative data into actionable resilience intelligence.

Presentations

Slide Deck from the Pitch

Recording

https://youtu.be/pMszUw_KLqg

Questions

 

Attachments

 

Additional Resources