Responsible AI in Healthcare: A Practical Checklist
A practical checklist for evaluating AI tools in healthcare: purpose, evidence, human oversight, privacy, bias, workflow fit, accountability and monitoring.
Convergence
Technology informs the decision. A clinician makes it.
The most important line in healthcare technology is the one between supporting a decision and making it. Rohit puts that line in the same place every time.
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Quick answer
Quick answer
Should AI make clinical decisions?
No. Software can gather, sort, remind, retrieve and draft. A qualified clinician who can examine the patient, weigh the context and carry responsibility makes the decision. Systems should be designed so that this is the easy path rather than a rule people work around.
What each side is good at
- Recall across large bodies of knowledge
- Pattern detection across many records
- Tireless consistency on repetitive checks
- Instant retrieval of a reference or a past note
- Context: what this person's life allows
- Empathy and the trust that makes disclosure possible
- Ethical reasoning when values conflict
- Noticing what does not fit the pattern
A system that combines the two deliberately, with clear roles and a human accountable for the decision, is worth building. A system that quietly shifts the decision to software because the interface makes agreement easier than disagreement is not.
Designing so judgement survives
Three design choices decide whether a tool supports judgement or erodes it. Show the source, so a clinician can check where a suggestion came from. Show uncertainty, rather than a single confident ranking. Make disagreement cheap, so recording a different decision takes one step and is never treated as an error.
Alert fatigue is the warning from the last generation of clinical software. When a system interrupts too often, people learn to dismiss it, including on the day it is right. Fewer, better timed prompts respect both the clinician and the patient.
Insights
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Questions
Questions about human judgement at the centre
What is clinical decision support?
Software that offers a clinician relevant information at the moment of a decision, such as a reference, a reminder, a risk flag or a summary of the record. It supports the decision rather than making it.
Why is alert fatigue a safety problem?
Because people adapt. Once most alerts are noise, all alerts are dismissed quickly, including the rare one that matters.
Conversations
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- Human judgement at the centre