KWISH
All case studies
Field NoteHealthcare/Regional health network, name withheld

Clinical Decision Support Pilot

A clinical decision-support pilot layered over an existing EMR, providing triage assistance and protocol guidance to clinicians across four regional clinics. The client's identity is withheld under a confidentiality agreement.

Client

Regional health network, name withheld

Role

AI strategy, model alignment, integration, and evaluation

Duration

Pilot phase under NDA

Thesis

Field Note

Sector

Healthcare

Outcomes

What changed.

4

Clinics participating in the live pilot

Integrated

Embedded in existing EMR workflow

Auditable

Every recommendation logged with clinician response

Context

The setting

A regional health network wanted to evaluate whether AI-assisted triage and protocol prompts could safely reduce variability in front-line care without disrupting existing EMR workflows.

Challenge

What we had to solve

  • AI guidance must respect existing clinical protocols
  • Cannot disrupt clinician workflow inside the EMR
  • Strong privacy, consent, and audit requirements
  • Clear human-in-the-loop boundaries

Approach

How we delivered.

01

EMR integration

Layered guidance into the existing EMR rather than introducing a parallel system.

02

Protocol-aligned models

Aligned model outputs with the network's standing clinical protocols.

03

Clinician feedback loop

Built in structured feedback capture for every recommendation surfaced.

Highlights

What was shipped

  • EMR-integrated decision support
  • Protocol-aligned recommendations
  • Structured clinician feedback capture
  • Clear human-in-the-loop boundaries

Stack

Technology

PythonFHIR-compatible interfacesSecure cloudReact
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