Workflow category · Library

Production AI workflows in Healthcare

Production AI workflows in healthcare. Tools, named providers, compliance considerations, and where deployments fail first.

Tools companies use for healthcare
Suki AI
Zapier
EHR
Abridge
Epic / Cerner EHR
Mobile app
Physician review
EMR system
Workflows in production
What fails first
Initial rollout without EHR integration required copy-paste — defea….
Initial rollout without EHR integration required copy-paste — defeated most of the time saving. Direct integration (now standard) eliminated that step. Initial friction with speciality terminology required calibration.
Observed in: Physician documentation — 76% time reduction · Suki AI · Healthcare
Initial version sent follow-ups without checking existing patient s….
Initial version sent follow-ups without checking existing patient status — existing patients received new patient messages. Added EMR lookup step before any communication. Also had to throttle SMS to avoid carrier spam flags.
Observed in: Healthcare patient follow-up — 30% less admin, 20% more scheduled e… · Healthcare
Early version missed specialty-specific terminology.
Early version missed specialty-specific terminology. Built specialty models for cardiology, oncology, psychiatry. Accuracy improved from 82% to 96%.
Observed in: Suki AI — 76% reduction in physician documentation time · Healthcare
Privacy concerns from patients about recording.
Privacy concerns from patients about recording. Added explicit patient consent workflow and clear disclosure. Consent rate above 95% once process was smooth.
Observed in: Abridge at UCSF — 72% faster medical documentation · Healthcare
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