MicrosoftExpandedProductionEvidence: Low40/100

Providence Healthcare Uses Microsoft Power Platform to Automate Hospital Resource Management

Providence Healthcare operates a large network of 51 hospitals and over 1,000 clinics, facing challenges in managing scheduling, workload, and asset allocation with an unscalable system. They migrated from Smartsheet to Microsoft Power Platform including Power Apps, Power BI, Power Automate, and Microsoft 365 to build custom scheduling, asset management, tracking, and reporting applications. Advisicon helped map the requirements and leverage Office 365 and the Power Platform to optimize hospital room scheduling, nursing workload distribution, and asset allocation. The custom apps and automations were replicated across their entire hospital system spanning multiple states, significantly improving operational efficiency and reducing scheduling conflicts.

Organization
Providence
Industry
Healthcare
Published
February 2022
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Providence
Provider
Microsoft
Maturity
Production
Linked source
Advisicon

The custom apps and automations were replicated across their entire hospital system spanning multiple states, significantly improving operational efficiency and reducing scheduling conflicts

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1Resource Management
  • 2Scheduling Automation
  • Migrated to Microsoft Power Platform with custom apps built on Power Apps, Power BI, Power Automate, integrated with Microsoft 365 and Office 365.
  • Leveraged automation and data insights to optimize resource scheduling and workload distribution.
  • Partnered with Advisicon to design and implement scalable solutions and improved user interfaces for asset and workflow management.
  • Enabled staff empowerment to automate and extend workflows independently using Power Platform tools.
Improved operational efficiency and reduced scheduling conflicts.
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2025.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Published: Feb 14, 2022Publisher: Advisicon

AI-generated summary. Verify important details with the linked sources before relying on this case.

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