Our Take
The scale is real; the solutions in a paywalled McKinsey brief are probably not.
Why it matters
Primary care shortages drive emergency department crowding, delayed diagnoses, and higher costs downstream. Rural America bears the worst of it, and no single vendor technology closes a staffing gap this large.
Do this week
Healthcare operations leads: map your region's primary care supply against population need (use Census Bureau data + CMS provider counts) before Q1 budget planning so you can cost staffing vs. care-delivery model changes against current margins.
45 million Americans lack access to primary care
McKinsey estimates that inequitable access to primary care has left 45 million Americans with unmet needs, concentrated heavily in rural communities (per McKinsey Insights). The brief frames this as a workforce and care-model problem, not a funding or technology problem.
The framing matters. Primary care shortages are typically reported as a physician-supply crisis. McKinsey's angle suggests the bottleneck sits deeper: how care is organized, who delivers it, and where patients can reach it.
Staffing gaps don't close with software
A 45-million-person care gap cannot be solved by electronic health records, patient portals, or AI triage chatbots. Those tools assume infrastructure exists. Rural primary care often doesn't have the patient volume or reimbursement density to support a full clinic.
McKinsey's pivot to workforce and care-model innovation signals what health system operators already know: you need bodies in clinics, nurse practitioners and physician assistants in expanded roles, and payment models that don't require scale to survive. Telehealth helps at the margin. It doesn't replace local access.
The stakes are straightforward. Unmet primary care needs correlate with higher emergency department utilization, delayed cancer screening, worse diabetes and hypertension control, and higher mortality in preventable conditions. Rural counties already see worse health outcomes on nearly every metric.
Audit your region's care-delivery model now
If you lead operations or clinical strategy at a health system or insurer, the McKinsey brief is behind a paywall, but the underlying data isn't. Use CMS provider enrollment files (publicly searchable by ZIP code), Census Bureau population data, and your own claims data to calculate primary care visits per 1,000 covered lives in each county you serve. Compare that to benchmarks (MGMA publishes these annually).
Where you sit below benchmark, staffing is the constraint, not demand. That's where model change matters: extended-hours clinics, mid-level-led teams, workplace health centers, and community paramedicine programs. Technology accelerates existing capacity; it doesn't create new capacity from zero.