Build Journal · THC CDSS

Structuring an integrative assessment around root causes

By Ganesh R Datta. I build healthcare AI end to end: clinical decision support, clinic intake, and the marketing and operations around them.

A patient with fatigue, poor sleep and rising blood pressure can be treated as three problems or investigated as one. Integrative practices like Total Health Centers work the second way.

The challenge

Holding many findings across cardiology, cognition, lifestyle and diagnostics in your head at once is hard, visit after visit. Important connections get missed when the information is scattered.

How the assessment is structured

THC CDSS gathers findings into one structured assessment and helps the physician see which ones point in the same direction. Likely root causes are surfaced as hypotheses for the physician to confirm or reject.

What I avoided

• Ranking root causes with false precision.
• Hiding the findings behind a single score.
• Presenting a hypothesis as a diagnosis.

The general lesson

Good decision support reduces the effort of seeing the whole picture. It does not replace the judgement of reading it.

More from the Build Journal

• What building clinical decision support across streams of medicine taught me
• Decision support, not decision making: where I draw the line in a CDSS
• Mapping AI assessments to the programs patients actually enroll in
• Building one assessment across modern medicine, Ayurveda and diagnostics

The full Build Journal · The THC CDSS work · Book a 15-minute call