Calculate the financial impact of physician turnover

…and see how much revenue you could protect

7 %
2 %
35 %

If you are unsure, use the national average turnover rate of 7%
8.5 %
2 %
35 %

If you are unsure, use the national average turnover rate of 8.5%

The Impact of Implementing Clinician Retention Intelligence (CRI)

[non-pc-turnover]+[non-ss-turnover]+[non-ms-turnover]+[non-ih-turnover]

Physician Resignations You Can Prevent

([app_number]*([app_to_rate]/100)*.50)*.77

APP Resignations You Can Prevent

[non-pc-revenueloss]+[non-ss-revenueloss]+[non-ms-revenueloss]+[non-ih-revenueloss]+([app-avoidable-turnover-non]*250000)
$

Revenue You Can Protect

Schedule a complimentary customized assessment with a Clinician Retention expert to receive a more precise estimate of the revenue and operational impact of improved clinician retention, tailored to your health system’s unique service lines, payer mix, turnover patterns, and financial data.

In an environment of economic uncertainty and sustained margin pressure, unplanned clinician turnover creates three compounding costs that health systems cannot afford:

Replacing a single physician requires 80-200 hours of executive, clinical, and HR time, depending on specialty. Every avoided resignation preserves scarce leadership capacity and redirects recruiting efforts from backfilling losses to supporting net-new growth.

Even small gains in retention deliver outsized margin protection, preserving billable capacity while avoiding sticky costs such as locum tenens coverage, ER bed overlays, and other operational inefficiencies.

Physician Resignation Breakdown

Service Line
Preventable Resignations
Revenue Loss from
Preventable Resignations

Primary Care

([physicians_number]*([to_rate]/100)*.50)*.77
physicians/year
(([non-pc-timetofill]+[non-pc-productivityloss]+[non-pc-referaldownstream])*[non-pc-turnover])
$
/ year

Total Estimated Resignations:

[physicians_number]*([to_rate]/100)*.50
Physicians

Preventable Resignations:

([physicians_number]*([to_rate]/100)*.50)*.77
Physicians

Lost Revenue from Time to Fill:

(1134184-267500)*(145.3333333/365)
$
/ physician / year

Lost Revenue from Delays
in Ramping up
Replacement:

1134184*.25
$
/ physician / year

Indirect Referral Downstream Loss:

(145.3333333/365)*1900*.203*1395
$
/ physician / year

Surgical Specialty

([physicians_number]*([to_rate]/100)*.18)*.77
physicians/year
([non-ss-timetofill]+[non-ss-productivityloss])*[non-ss-turnover]
$
/ year

Total Estimated Resignations:

[physicians_number]*([to_rate]/100)*.18
Physicians

Preventable Resignations:

([physicians_number]*([to_rate]/100)*.18)*.77
Physicians

Lost Revenue from Time to Fill:

(3374341-525500)*(186.0769231/365)
$
/ physician / year

Lost Revenue from Delays
in Ramping up
Replacement:

3374341*.25
$
/ physician / year

Medical Specialty

([physicians_number]*([to_rate]/100)*.18)*.77
physicians/year
([non-ms-timetofill]+[non-ms-productivityloss])*[non-ms-turnover]
$
/ year

Total Estimated Resignations:

[physicians_number]*([to_rate]/100)*.18
Physicians

Preventable Resignations:

([physicians_number]*([to_rate]/100)*.18)*.77
Physicians

Lost Revenue from Time to Fill:

(1406298-401333)*(184.4117647/365)
$
/ physician / year

Lost Revenue from Delays in Ramping up
Replacement:

1406298*.25
$
/ physician / year

Hospital Based

([physicians_number]*([to_rate]/100)*.14)*.77
physicians/year
([non-ih-timetofill]+[non-ih-productivityloss])*[non-ih-turnover]
$
/ year

Total Estimated Resignations:

[physicians_number]*([to_rate]/100)*.14
Physicians

Preventable Resignations:

([physicians_number]*([to_rate]/100)*.14)*.77
Physicians

Lost Revenue from Time to Fill:

(2006307-455000)*(140.8/365)
$
/ physician / year

Lost Revenue from Delays
in Ramping up
Replacement:

2006307*.25
$
/ physician / year

References

For All Service Lines:

Breakdown of physicians by Service Line at a health system: Atalan’s Health System Client Data (can be replaced with your health system’s specific breakdown) 

Number of Days to Fill by Category (can be replaced with your health system’s specific recruitment data): Association for Advancing Physician and Provider Recruitment (AAPPR). 2025 AAPPR Physician and Provider Recruitment Benchmarking Report. https://aappr.org/research/benchmarking/

Productivity Loss During Onboarding: 20% over 12 months (based on interviews with health system financial leaders)

Revenue by Service Line: AMN Healthcare. 2023. 2023 Physician Billing Report. https://www.amnhealthcare.com/amn-insights/physician/whitepapers/2023-physician-billing-report/ (can be adjusted by your health system’s payor mix)

Average Salary by Service Line: AMN Healthcare. (2023). 2023 Physician Billing Report. https://www.amnhealthcare.com/amn-insights/physician/whitepapers/2023-physician-billing-report/ 

National Average Turnover Rate: Association for Advancing Physician and Provider Recruitment (AAPPR). 2025 AAPPR Physician and Provider Recruitment Benchmarking Report. https://aappr.org/research/benchmarking/

For Primary Care Service Line Only:

Average Referral Rate of Primary Care Physician: El Ayadi H, Desai A, Jones RE, Mercado E, Williams M, Rooks B, Carek PJ. Referral Rates Vary Widely Between Family Medicine Practices. J Am Board Fam Med. 2021 Nov-Dec;34(6):1183-1188. doi: 10.3122/jabfm.2021.06.210213. PMID: 34772773.

Average Panel Size of Primary Care Physician Per Year: Harrington C. Considerations for Patient Panel Size. Dela J Public Health. 2022 Dec 31;8(5):154-157. doi: 10.32481/djph.2022.12.034. PMID: 36751598; PMCID: PMC9894066.

Average Value of New Patient for Medical Specialties: Zocdoc. (n.d.). Industry benchmarks: Comparing new patient value by practice size and specialty. Industry Benchmarks: Comparing New Patient Value by Practice Size and Specialty. https://www.zocdoc.com/resources/blog/ article/industry-benchmarks-comparing-new-patient-value-by-practice-size-and-specialty