Define the decision before the model
Begin with the care or operational decision, who is accountable, what better looks like, and what happens when the system is uncertain or wrong.
Build governance into delivery
Data access, quality, privacy, security, bias, explainability, and human review should shape design and architecture from discovery onward.
Measure performance in the real workflow
Technical accuracy alone is not enough. Teams need to understand adoption, usability, exceptions, operational impact, and whether the tool supports the intended healthcare outcome.