Backed by Science.
Driven by Evidence.
Atalan’s approach to Clinician Retention Intelligence (CRI) is rooted in rigorous research and peer-reviewed validation. Our models and insights are validated by science, ensuring health systems can trust the predictions and act with confidence. Explore our published work to see how data-driven intelligence is redefining clinician retention.
journal of Healthcare Management
Who’s Not Talking? Nonresponse Bias in Healthcare Employee Surveys
C. Aubrey Rhodes, PhD; Xi Hu, PhD; Richard B. Freeman, PhD; Ridhika Agrawal, MSC; Elizabeth Cherot, MD; Thomas S. Dardarian, DO; Stephanie Gottsch, MPH, MBA; Tiffany Chan, MA, Bart Blackburn, PhD
Key Insights:
- Advanced practitioners under retirement age were found to be 11.67 times more likely to leave their positions in the quarter following the survey compared to their responding counterparts.
- Physicians under retirement age were found to be 5.14 times more likely to leave their positions two quarters post-survey relative to respondents.
- Non-responding advanced practitioners and physicians show a 27% and 14% decrease in Relative Value Units (RVU) compared to respondents
National Bureau OF Economic Research
Beyond Burnout: from Measuring to Forecasting
Blackburn, B., Chan, T., Freeman R., Hu, X., Rhodes, A. (2023). The Impact of Survey Non-response Bias on Estimates of Provider Well-being. NBER Working Paper Series. Forthcoming.
Key Insights:
- Instead of relying on national averages, calculate the costs of clinician burnout that is specific to your organization, by leveraging existing operational data within your organization.
- Discover higher per-clinician costs by accounting for hidden and long-term impact of burnout, such as productivity on-ramping for replacement clinician.
- Forecast clinician turnover and productivity for the next 12 months with an early warning mechanism.
- A framework to aid dynamic budgeting and resourcing for burnout interventions, aided by precise cost estimates