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The “fast science” of health economics and outcomes research (HEOR) is becoming even faster through advances in AI.
“Don’t speed. Any mistake is less likely to be catastrophic when driving the speed limit.” This was the first driving lesson many of us received. It was good advice then and it still holds true today, particularly as we witness the rapid application and utilization of artificial intelligence (AI) in healthcare research.
Health economics and outcomes research (HEOR) is the confluence of two fields, with one focused on measuring and valuing the outcomes of healthcare interventions and the other on scientific disciplines that evaluate the effect of healthcare interventions on patients.1 The thought of HEOR as a “fast science” can make some HEOR experts uncomfortable.
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