AI Won’t Fix Healthcare Until Leaders Redesign The Work
EHRs promised to centralize patient data. They didn't. Now healthcare leaders are betting AI will fix what broken tech left behind—but the real problem isn't the tools.
Why it matters
Opinion/commentary on why AI adoption in healthcare will fail without organizational redesign. Practitioner-relevant for healthcare IT leaders and enterprise buyers evaluating AI implementations, but lacks concrete deployment data, measured outcomes, or a specific trigger event.
The key facts
7 to knowForrester opinion piece, not reporting of a deployment or policy shift
No measured data on AI healthcare implementations or outcomes provided
Framed as structural/organizational problem (work design) not a technology problem
Echoes a familiar narrative: technology oversold, adoption disappoints, culture/process is the real barrier
Forrester analysis of healthcare's pattern of technology disappointment (EHRs, patient portals, automation)
Argument that AI deployment in healthcare requires work redesign, not just tool adoption
Healthcare leaders cited as recognizing misalignment between promised and delivered outcomes
Go to the source
Forrester Blogforrester.com
Publisher excerpt: Healthcare has a history of using technology to do a heroic amount of work. EHRs were supposed to centralize patient data. Patient portals were supposed to simplify access. Automation was supposed to make operations hum. Much of that did not happen – at least not as neatly as the demo promised. And…