How Beacon Health Management Automated Turnover Analytics to Save 10 Hours Monthly

By: GoBeyond Team
July 3, 2025
3 min read
AI case study for Beacon Health Management – automated turnover analytics saves 10 hours monthly

Quick Overview

Beacon Health Management automated its turnover analytics process using CareWork’s platform, enabling weekly benchmarking and trend spotting to reduce staff turnover and save 8-10 hours monthly.

Beacon Health Management
Beacon Health Management
Company Size
~1,000 employees (estimated)
Revenue Range
Not publicly disclosed
Primary Challenge
Manual, time-consuming turnover analysis limiting timely interventions
Key Metrics
\- 8-10 hours saved per month\- Weekly turnover benchmarking vs. company averages\- Faster identification of turnover trends

The Problem

Turnover analytics were manual and monthly, delaying insight and slowing response to retention issues.

The Solution

Implemented CareWork’s unified analytics and automation platform to automate turnover data collection, benchmarking, and reporting processes.

Results

\- Turnover data accessible instantly instead of after 8-10 hours of manual work\- Ability to spot and address turnover trends weekly\- Increased transparency and accessibility of turnover data for leadership

“I get the information I need with the click of a button instead of in 8-10 hours.”

Krista Molnar Sikes, VP Human Resources

Details

Industry
Healthcare & Medical
Departments
Data & Analytics
Use Cases
Workflow Automation
Tags
Machine Learning
NLP
AI Tools Used
No items found.
Sources
https://leadingage.org/wp-content/uploads/2024/02/Case-Study_Beacon-Automating-Turnover-Analytics.pdfhttps://leadingage.org/case-studies/data-analytics-case-studies1/

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