Sarah, I agree that we need routine, rigorous evaluation of health tech across its lifecycle. EHRs taught us what happens when that doesn’t occur, and AI makes this need even more urgent.
However, I disagree that such evaluation isn’t being done. The tools and frameworks exist, but most organizations haven’t prioritized them.
For EHRs specifically, there are many resources already in place, including:
SAFER Guides
HIMSS EHR-AM and AMR-AM
Leapfrog CPOE Testing
ARCH Collaborative
Patient Voice Collaborative
EHR vendor programs like GoldStars and Honor Roll
Predictive model working groups
These tools are ready to measure EHR performance; the missing piece is operational commitment. FYI, we do all of the above regularly—a lot of work, but we learn SO much and get better every time!
Sarah, I agree that we need routine, rigorous evaluation of health tech across its lifecycle. EHRs taught us what happens when that doesn’t occur, and AI makes this need even more urgent.
However, I disagree that such evaluation isn’t being done. The tools and frameworks exist, but most organizations haven’t prioritized them.
For EHRs specifically, there are many resources already in place, including:
SAFER Guides
HIMSS EHR-AM and AMR-AM
Leapfrog CPOE Testing
ARCH Collaborative
Patient Voice Collaborative
EHR vendor programs like GoldStars and Honor Roll
Predictive model working groups
These tools are ready to measure EHR performance; the missing piece is operational commitment. FYI, we do all of the above regularly—a lot of work, but we learn SO much and get better every time!