Case studies
Two ways medscrub goes to work.
Clinicians running it as their daily workspace, and software companies building on the proxy underneath.
Monarch Health
Internal medicine · Sandpoint, Idaho · eClinicalWorks
The medscrub desktop app as a daily workspace: four assistants the practice wrote itself, nightly chart prep, and open plans — plans left unresolved, flagged before the patient is in the room.
~2 hrs
saved / clinic day
150
charts / night
3
open plans / patient
OPEN PLANS · 3 OF 5 PLANS UNRESOLVED
Type 2 diabetes — suboptimal control
PLAN Recheck A1c in 3 months · 04/02/2026
07/10/2026 A1c 8.2% — above goal, no follow-up scheduled
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eSpiral
Clinical intelligence platform · SMART on FHIR · Hospital residencies
Safe LLM interactions for hundreds of residents and their supervisors — every call routed through medscrub's API, which works with any LLM or gateway.
100s
residents covered
18
Safe Harbor identifiers
0
PHI in the cloud
What the AI model sees
"name": "[NAME_1]"
"mrn": "[MRN_1]"
"cc": "knee pain, bilateral"
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See each capability in a real deployment.
More stories in progress.
If you're using medscrub in production, we'd love to tell yours. Share your story
Solo practice
MIPS coding optimization and revenue recovery
Health system
Population health screening at scale
Payer integration
Prior authorization automation