arosplatforms™AI consultancy

AI

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Customer story · Healthcare

A copilot clinicians trust

a top-10 US health system

0.0k

daily active users

0 hrs

saved per clinician shift

0

unsourced answers shipped

The challenge

Clinicians spent hours after each shift charting and hunting through fragmented records. Earlier point tools produced confident but wrong answers, so adoption stalled and trust evaporated. Leadership wanted a copilot that surfaced the right patient context at the point of care without ever inventing facts that put safety at risk.

How we approached it

01

Shadowed clinicians across three departments to map where documentation and lookup friction actually cost time.

02

Built a retrieval layer over the EHR and clinical guidelines, with every answer tied to a verifiable source.

03

Added guardrails, citation requirements, and an escalation path so the model defers when confidence is low.

04

Rolled out in waves with clinician champions, measuring trust and accuracy before each expansion.

It earned trust because it shows its work. Every answer points to the record, so my team checks once and moves on with care.

Chief Medical Information Officer

More on this work

Every response is grounded in retrieved source records and guidelines, with mandatory citations and a low-confidence escalation path that hands questions back to the clinician.

Yes. The retrieval layer reads from the EHR and approved guideline sources directly, so clinicians stay in their existing workflow rather than switching tools.

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