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Clinical QI Challenge: Automating Dynamic Chart Reviews for Medication Dosing
We are seeking innovative health-tech proposals and technical frameworks to automate the extraction of patient chart data.
We are seeking innovative health-tech proposals and technical frameworks to automate the extraction of patient chart data.
The winner will sign a contract with the challenge sponsors for further collaborations.
The logic underpinning the dosing recommendations is medically sound, safe, and can withstand rigorous clinical auditing.
The potential of the project to save hospital resources, cut expenses, and easily scale to other departments (e.g., moving from ICU to general wards).
The ability to seamlessly and securely extract chart data (kidney/liver function) using standardized protocols like FHIR/HL7.
How well the solution integrates into a pharmacist's daily routine, reducing manual review time while mitigating alert fatigue.
Final technical and operational proposals must be submitted
Sep 21, 2026 – Oct 10, 2026
Clinical and technical judging begins. Submissions will be vetted for clinical safety, data integration feasibility, and workflow improvement.
Sep 21, 2026 – Oct 5, 2026
Conclusion of the evaluation phase. Top proposals will be finalized for presentation to hospital stakeholders.
Oct 5, 2026 – Oct 5, 2026
Winning proposals selected for hospital stakeholder sponsorship and pilot program development.
Oct 16, 2026 – Oct 17, 2026
The sponsors and organizers must reach an agreement before the challenge starts.
The terms of the challenge, intellectual property or any other legal documents, as well as the challenge content shall be completed and finalized before the deadline.
Live Q&A session with the challenge sponsors on Microsoft Teams. The link will be shared with the participants a week before the event.
Live sync session for the judges on Microsoft Teams. The link will be shared with the judges a week before the event.
What specific patient data parameters are we targeting?
The primary focus is on dynamic markers for renal and hepatic function (e.g., Creatinine clearance, eGFR, AST/ALT, Bilirubin) that critically impact pharmacological dosing and drug clearance.
Will we have access to live patient data?
No. All submissions should utilize anonymized, synthetic healthcare data or standard sandbox environments (like the SMART on FHIR sandbox) for demonstration purposes.
Have more questions?
Ask them in the challenge comments.
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Solo or teams up to 5
1 submission per participant
Open to all
Yes
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