How much revenue will your next surprise resignation drain?
Atalan is the first Clinician Retention Intelligence (CRI) platform, using machine learning to identify who is at risk of resigning, uncovering why, and delivering proactive, seamless interventions.
Hospitals are under relentless pressure: rising labor costs, shrinking physician teams, and high turnover. Every resignation triggers a costly cycle, straining staff, disrupting care, and draining revenue.
66%
of health systems lose revenue due to staffing shortages
$800K-$2.3M
cost per physician lost, varying by specialty
$1 Billion
additional annual cost to patients
Objective data that health systems already have and Atalan’s machine learning models, hospitals can now:
Identify who is at risk of leaving
Zero in on exactly why
Prompt frontline leaders with seamless interventions
Turnover Reduction
Protected Annual Revenue
* Based on a $14 billion, multi-state U.S. health system, for the first 6 months of usage.
Atalan’s CRI platform is the industry’s first solution designed to predict and prevent clinician resignations before they happen.
Atalan securely extracts the data that health systems already have including EHR and HR sources
Atalan automatically analyzes signals such as EHR usage, patient volume, patient complexity, length of workday, and more than 100 other departure triggers.
From this analysis, Atalan delivers turnover predictions up to 12 months in advance, provides a 360° view of departure triggers, recommends targeted actions, and tracks their effectiveness over time.
When clinicians stay, patients thrive. When patients thrive, everyone wins.
Move beyond lagging indicators, intervene before disrupting care and revenue
Apply interventions seamlessly to act earlier and resolve issues faster
Keep your top talent, lower recruitment costs, and prevent revenue loss
ACT FASTER. PREDICT AND PREVENT TURNOVER.
We give healthcare leaders the foresight to intervene before clinician stress turns into resignation. Backed by peer-reviewed research and proven results in the field, our CRI platform transforms workforce data into actionable strategies that protect teams, margins, and patient care.
Explore our academic papers, real-world case studies, and industry conference appearances to see how evidence-based intelligence is reshaping clinician retention and building a stronger future for healthcare.
Clinician turnover is one of the costliest challenges facing health systems today, with replacement costs between $800,000 and $2.3 million per physician. Beyond the financial toll, turnover strains teams, disrupts patient care, and slows growth.
Clinician turnover is a top challenge for U.S. health systems, with costs spanning recruitment, onboarding, lost revenue, and operational disruption. For one $11 billion multi-state health system, retaining clinicians is both a financial and strategic priority.
