The Improving Diagnosis App (IDA) was conceived to give clinicians regular, structured feedback on the accuracy of their initial diagnostic impressions. Operating within a simulated hospital environment, the app captures a clinician’s preliminary differential diagnoses at patient admission and compares them with the final discharge diagnosis.

This feedback loop helps clinicians reflect on and strengthen their diagnostic reasoning — a process that is often difficult to achieve in busy clinical settings. The project represents a first step toward integrating automated diagnostic feedback into electronic medical records, with potential for future real-world deployment.

The research evaluation of IDA is being led by Dr. Chang-Ho Yoon, Dr. Nic Szecket, Dr. Art Nahill, and Dr. Chester Holt-Quick, with funding support from the RACP.

Our team at Kekeno Tech led the design and development of the app — encompassing the system architecture, backend infrastructure, and user interface design — and worked closely with frontline clinicians to ensure the tool reflected the realities of clinical workflow.