AI case study

Sentara HealthDischarge planning

Records for discharge buried across charts and notes had case managers clicking for hours. Now they plan from admission, not the final day.

Published

Key results

Projected Time Saved
~90k hours

Result highlights

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The story

Context

A Virginia-based nonprofit health system with 12 acute-care hospitals where discharge planning begins the moment a patient is admitted, requiring case managers to coordinate rehab, home services, and insurance coverage while a patient is still receiving care.

Challenge

The information needed for discharge planning is scattered across admission charts, monitoring notes, medical histories, and physician notes in...

Solution
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Scope & timeline

  • All 12 Sentara hospitals deployed Regard AI tool

Quotes

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Also reported by

virginiamercury.com

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The company

Sentara Health logo

Sentara Health

sentara.com

Nonprofit health system and insurance provider in Virginia and North Carolina.

IndustryHealthcare Providers
LocationNorfolk, VA, USA
Employees10K-50K
Founded1888

The vendor

ROLE IN THIS CASE STUDY

Provided its AI system, Regard, which integrates with electronic health records to assist with patient monitoring and discharge planning.

IndustrySoftware & Platforms
LocationLos Angeles, CA, USA
Employees51-250
Founded2017

Use case

Sentara Health's Discharge planning is part of this use case:

Research Synthesis
33 case studies(+11% YoY)
Proven impact?
Average
2.9Typical

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