The Doctor Who Got Half His Time Back: AI as a Workforce Multiplier

I talked with a physician recently who is genuinely excited about AI, mostly because he gets his evenings back.

By Greg Hatch, SVP of Strategic Growth

His health system turned on exam-room recording. With the patient's permission, the visit is captured, and AI drafts the clinical note from the conversation. His job is to review and approve it, not write it from scratch.

He told me he used to spend more time after the appointment than in the room with the patient, on notes, follow-ups, and chart work. Since the recording started that workload is down about half, and the difference lands where it should: he's present during the visit, listening and looking at the patient instead of the screen.

Every conversation I've had about AI in healthcare eventually circles back to this story. The fear is that automation makes care less human, but this doctor's experience is the counterargument, and now there's published research to back it.

The Fear Has It Backwards

There is a version of medicine that automation makes more human. It's the one where the patient talks and the doctor types.

Physicians spend more than half of their workday working in the electronic health record, and only about a quarter of their time face to face with patients, according to research cited in a recent JAMA Network Open study. The typing isn't a side effect of care; for too many clinicians, the chart has become the job and the patient the interruption.

Watching your doctor document your visit in real time, while you describe your symptoms, is not the human version of care. Documentation created that problem. Automation is what's fixing it.

The Research Matches the Story

The JAMA Network Open study followed 263 physicians and advanced practice clinicians across six health systems who used an ambient AI scribe for 30 days. Burnout fell from 51.9% to 38.8%, a 74% drop in the odds of experiencing burnout. Note-related cognitive load fell significantly. So did time spent documenting after hours, by nearly an hour a week per clinician.

The larger deployments show the scale. The Permanente Medical Group, reporting in NEJM Catalyst and covered by the American Medical Association, ran ambient AI scribes across 2.5 million patient encounters with more than 7,200 physicians. The documented savings: 15,791 hours of documentation time, the equivalent of 1,794 eight-hour workdays handed back to clinicians. For health system leaders doing retention math, other research puts the cost of losing a single physician at $800,000 to $1.3 million.

The newest findings add an honesty check. A large 2026 study across five academic medical centers found the raw minutes saved look modest, about 16 minutes per eight-hour shift. Clinician well-being measures moved far more than the stopwatch suggests, which matches what the research literature keeps finding: the value isn't only the minutes. It's the attention. The physician I talked to never described his gains in minutes anyway. He described being in the room.

Where This Multiplies

Clinical documentation is just the clearest case. The same pattern, machines absorbing the background work so humans can do the human work, shows up across the care experience.

In radiology, AI flags anomalies in images, giving the radiologist a second set of eyes and more confidence in the read. In remote monitoring, pacemakers and heart monitors now stream data continuously, and AI watches the stream so a care team intervenes when it matters instead of reviewing logs. In insurance administration, one of the heaviest layers of healthcare overhead, the next five to six years will bring simplification that frees clinical and administrative staff from chasing coverage.

None of that replaces clinical judgment. It multiplies it.

Getting It Right Takes Governance, Not Just Tools

The physician's system asks permission before recording anything, a detail that matters more than any feature list.

I see too many healthcare organizations handle compliance in isolation. HIPAA says be careful, so they allow nothing, and the clinicians keep paying for it in evenings and weekends. The organizations doing this well bring IT, risk, legal, and clinical leadership to the same table and design experiences that protect privacy and serve patients at the same time. AI actually strengthens that work: observability tools now catch privacy risks before they become violations.

Before any of it, there's an architecture question. Can your systems adopt new technology, secure it, and keep it compliant? If the honest answer is no, that's the first project, because every workforce multiplier after it depends on that foundation.

The Multiplier Math

A workforce multiplier changes the math for everyone counting on the workforce. For a COO, it shows up as retention and capacity: the same clinical staff carries more presence, less burnout, and fewer exits. For a clinician, it shows up as the reason most of them went into medicine in the first place, which is time with patients. The CIO's piece is the enabler in between: architecture that can adopt, secure, and stay compliant.

The organizations that get this right will be the ones that point AI at the work humans never wanted in the first place. The physician I talked with is excited about AI because he gets to be a doctor again. That's the outcome worth buying.