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Primary Care at Scale: How We Automated Clinical Workflows for 45 Physicians Without Disrupting a Single Patient Visit

Key Outcome
67%
reduction in after-hours documentation time
Team
14 engineers
Timeline
12 weeks
Industry
Healthcare
01The Situation

A primary care physician group — 45 physicians across 8 locations in the suburban northeast. High patient volume, thin margins. Their physicians were spending 2+ hours per day on documentation after clinic hours — the 'pajama time' problem driving burnout across primary care. The practice manager estimated they were losing the equivalent of 3 full-time physicians to administrative burden.

02What Changed

They had implemented their EHR vendor's 'efficiency module.' It made things worse — more clicks, more templates, more structured data entry that didn't match how their physicians actually documented care. Two physicians quit, citing burnout. The practice couldn't recruit replacements because word had spread about the documentation burden.

03Why The Algorithm

The practice administrator had seen what we built for a specialist network and asked if we could do the same for primary care workflows.

04What We Built

Clinical workflow automation layer that sat on top of their existing EHR — augmenting it, not replacing it. AI-assisted documentation that generated clinical notes from physician-patient encounters. Preventive care gap engine that surfaced care opportunities during the visit. Referral automation that eliminated the phone-and-fax cycle. Pre-visit planning tool that assembled relevant patient history, lab results, and medication list before the physician entered the room.

05 — The Result

After-hours documentation time reduced by 67%. Preventive care gap closure rate improved by 41% — directly impacting quality measures and value-based payment performance. The practice successfully recruited two new physicians within 90 days because the word spread equally fast that the documentation burden had been solved.

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