Choosing the Right Starting Population for Clinician Retention Intelligence
Introduction: Why Where You Start Matters
Health systems increasingly recognize the need to move beyond reactive approaches to clinician retention. New technologies, predictive intelligence, and more proactive leadership practices offer opportunities to reduce turnover, protect patient access, and improve financial performance. But even with the right solution, an important question remains: Where should we begin?
A large health system may have dozens of hospitals, markets, specialties, and departments that could benefit. The instinct may be to start with the largest population, the department experiencing the greatest challenges, or the leadership team most enthusiastic about the initiative. None is necessarily the right choice.
The initial rollout must demonstrate meaningful improvement, build organizational confidence, and establish a repeatable approach for broader adoption.
This challenge is not unique to retention. Research on organizational change emphasizes the importance of urgency, leadership commitment, measurement, and the ability to extend successful practices across different settings. [1, 2]
The strongest starting population brings together three conditions: a meaningful opportunity for improvement, a leadership team ready to act, and the potential to create results that can be replicated elsewhere.
The following eight considerations provide a practical framework for making that decision.
Find the Right Opportunity
Where can we make a meaningful difference?
- Opportunity for Improvement
The department with the worst retention problem is not necessarily the best place to start. A population with consistently low turnover may offer limited opportunity to demonstrate improvement, while one experiencing severe operational dysfunction or leadership instability may lack the conditions necessary for success.
Look instead for a population with a recognizable retention challenge and realistic potential for improvement.
Use information already available, such as historical turnover, vacancy rates, recruitment costs, staffing challenges, and employee engagement results. These measures can help identify where improvement would create value without requiring access to predictive intelligence before implementation.
The underlying causes of turnover may not yet be understood. Identifying those causes is often precisely why the organization is introducing new capabilities.
The objective is not to find the population with the greatest need, but the one with the strongest combination of improvement potential and ability to succeed.
- Compelling Reason to Act
Successful initiatives need a clear reason to act now.
Urgency may come from rising recruitment costs, premium labor expenses, reduced patient access, workforce dissatisfaction, or anticipated growth. Leadership transitions and organizational restructuring can also create opportunities to establish new approaches to retention.
The important consideration is whether leaders view retention as a strategic priority with meaningful consequences for organizational performance.
John Kotter’s research identifies insufficient urgency as a common barrier to successful organizational transformation. [1]
A clear financial, clinical, cultural, or strategic imperative helps ensure that retention improvement receives sustained leadership attention.
- Right Size and Scope
The starting population should be large enough to demonstrate meaningful impact but manageable enough to launch successfully.
A population that is too small may produce too few turnover events to evaluate outcomes reliably. One that is too large may introduce unnecessary complexity across leadership structures, workflows, and data environments.
A defined hospital, market, service line, or clinician group can provide sufficient scale while allowing leaders to coordinate interventions and evaluate results.
The Institute for Healthcare Improvement (IHI) emphasizes clear objectives and deliberate planning when preparing improvement initiatives for broader adoption. [3]
The goal is to balance measurable impact with manageable implementation complexity.
Find the Right Leadership Team
Who is best positioned to turn insight into action?
- Leadership Commitment and Change Readiness
Technology can identify emerging retention risks and recommend actions, but leaders must be willing to respond.
The best starting population does not need the most sophisticated retention practices. It needs leaders who recognize opportunities to improve and are committed to addressing them.
Atalan’s Retention-Focused Leadership Maturity Model provides one approach for evaluating current practices and identifying gaps in how organizations recognize workforce challenges, plan interventions, and measure results.
A team with relatively immature retention practices but a strong willingness to improve may be better positioned than a highly mature team resistant to change.
Bryan Weiner’s research distinguishes between organizational commitment to change and confidence in the ability to implement it. Both contribute to organizational readiness. [4]
You do not need the most mature leadership team. You need a team ready to advance.
- Cohesive, Accountable Leadership Culture
Clinician retention is influenced by multiple factors, including workload, scheduling, communication, compensation, and operational practices. Addressing these challenges often requires coordination among clinical, operational, and HR leaders.
Look for a leadership team that understands its strengths and weaknesses, takes collective ownership of results, and is comfortable addressing difficult issues together.
Amy Edmondson’s research links psychological safety with team learning behaviors, while the Consolidated Framework for Implementation Research identifies organizational culture and leadership engagement as important implementation considerations. [5, 6]
The strongest teams are not necessarily those that agree on everything. They are those that can challenge assumptions, learn together, and act on what they discover.
- Credibility, Trust, and Influence
The initial leadership team should have the credibility to influence broader adoption.
Respected leaders with strong relationships among clinicians are better positioned to introduce new practices, address concerns, and encourage meaningful participation.
Their influence should also extend beyond their own departments. When trusted leaders demonstrate improvement and share what they have learned, their experience can help other teams embrace a similar approach.
This reinforces Kotter’s emphasis on influential leadership coalitions as a foundation for organizational change. [1]
Choose leaders who can achieve results and whose peers will listen when they share their experience.
Build the Foundation for Scale
Will others follow their lead?
- Transferability of Learning
The starting population does not need to represent every department, specialty, or market in the health system. However, it should not be so unusual that its experience offers little value elsewhere.
A highly specialized department with unique staffing arrangements or exceptional resources may achieve results that are difficult to reproduce.
A stronger candidate shares meaningful operational characteristics or workforce challenges with other populations, allowing successful practices to be adapted more broadly.
IHI’s guidance on spreading improvement emphasizes that successful changes must be adapted to the circumstances of each new setting. [2]
Choose a population whose lessons can travel, even when its circumstances cannot be replicated exactly.
- Ability to Demonstrate Measurable Results
A successful initial rollout requires a credible way to evaluate progress.
Organizations should establish baseline measures using existing workforce information, including historical turnover, vacancy rates, recruitment costs, or other relevant indicators.
As retention intelligence is introduced, additional measures may become available, including emerging retention risks, leadership intervention activity, and changes in workforce conditions.
Importantly, implementation success and retention improvement are not the same thing. Strong platform adoption and leadership engagement may demonstrate progress, but actual reductions in turnover require additional time and evidence.
Implementation research by Proctor and colleagues distinguishes between successful adoption of an intervention and the organizational outcomes it is intended to achieve. [7]
Where practical, comparing outcomes with similar populations can strengthen the evaluation, provided differences in baseline conditions are considered.
Credible measurement helps leaders understand what worked, demonstrate organizational value, and make informed decisions about expansion.
Conclusion: Start Where Success Can Spread
The first population selected for Clinician Retention Intelligence can have an outsized influence on what follows.
Starting with the largest group may introduce unnecessary complexity. Starting with the most challenged department may make progress difficult. Starting with the most enthusiastic leaders may generate engagement without addressing a meaningful business problem.
The stronger approach considers opportunity, leadership readiness, and the potential for broader organizational impact together.
These principles extend beyond clinician retention to other healthcare technologies, operational improvements, and strategic innovations. The specific measures may differ, but the conditions supporting successful organizational change remain relevant.
For health systems seeking to move from reactive workforce management toward proactive retention intelligence, the initial rollout is an opportunity to establish a more effective way of working.
Start where the opportunity is meaningful, leadership is ready, and impact can grow.
The ultimate objective is not simply a successful launch. It is to retain clinicians, protect patient access, and grow revenue through lasting organizational improvement.
Use Atalan’s Starting Population Evaluation Worksheet as a structured method for comparing candidate populations.
References
1. Kotter, J. P. (1995). Leading Change: Why Transformation Efforts Fail. Harvard Business Review, 73(2), 59–67. Read article
2. Institute for Healthcare Improvement. How to Improve: Spreading Changes. IHI guidance
3. McCannon, C. J., Schall, M. W., & Perla, R. J. (2008). Planning for Scale: A Guide for Designing Large-Scale Improvement Initiatives. IHI Innovation Series White Paper. Read publication
4. Weiner, B. J. (2009). A Theory of Organizational Readiness for Change. Implementation Science, 4, 67. Read article
5. Edmondson, A. (1999). Psychological Safety and Learning Behavior in Work Teams. Administrative Science Quarterly, 44(2), 350–383. Read article
6. Damschroder, L. J., et al. (2009). Fostering Implementation of Health Services Research Findings into Practice: A Consolidated Framework for Advancing Implementation Science. Implementation Science, 4, 50. Read article
7. Proctor, E., et al. (2011). Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda. Administration and Policy in Mental Health and Mental Health Services Research, 38, 65–76. Read article