The Velocity Gap: Why Retrospective Staffing is Failing Modern Medicine
This report draws on a survey of 40 senior health system physician executives to examine how health systems are making strategic clinical workforce decisions and where AI and large datasets could close critical gaps. The findings reveal a sector at an inflection point: recruitment timelines have stretched dramatically since COVID-19, short-term staffing fixes are reaching their limits, and the technology needed to modernize workforce planning remains largely underutilized. The report outlines three key findings and concrete implications for health system leaders navigating access, cost, and capacity pressures.
Key Insights
"Clinical workforce planning fails in silos — it requires tight partnership between finance and physician leaders."
While physician executives initiate workforce decisions at 83% of health systems, finance leaders are increasingly embedded in planning frameworks, linking hiring decisions to multi-year forecasts, productivity expectations, and financial risk assessment.
"With 80% of health systems underusing AI and automation, slow hiring is no longer a surprise — it's a call to modernize workforce planning now."
Physician recruitment timelines have nearly doubled since COVID-19, yet only 8% of health systems currently use AI for provider workforce planning, forcing organizations into reactive, higher-cost staffing models.
"Rapid changes in clinician expectations are outpacing available data, highlighting the need for more real-time workforce intelligence."
Health system executives cite data timeliness not data quality as the primary barrier to effective planning, as market dynamics evolve faster than traditional planning cycles can respond.