AI case study

Intermountain HealthClinical documentation and communication

Data scientists spent months on manual infrastructure. Now, automated pipelines deploy reliable clinical models in weeks.

Published

Key results

Annual Time Savings
4,300 hours
Quarterly Savings per Product
40 hours

Result highlights

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The story

Context

A Salt Lake City–based healthcare system connecting 34 hospitals and 400 clinics with more than 66,000 caregivers serving patients across six states.

Challenge

Data scientists spent months deploying models because they had to manually manage infrastructure and Linux systems without formal training. The...

Solution
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Scope & timeline

  • Model deployment cut from months to days

Quotes

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The company

Intermountain Health logo

Intermountain Health

intermountainhealthcare.org

Nonprofit health system providing medical services and hospital care in the Western US.

IndustryHealthcare Providers
LocationSalt Lake City, UT, USA
Employees10K-50K
Founded1975

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

Intermountain Health's Clinical documentation and communication is part of this use case:

Clinical Documentation
94 case studies(+35% YoY)
Proven impact?
LowModerateVery Strong
5.4Strong
5.5Strongwithin Healthcare Providers

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