Section 02

Health care faces a double-aging pressure

The United States is not simply adding to health care demand. It is adding demand in the age groups most likely to require complex, longitudinal, specialty, and home-based care, at the same time that older-worker exposure on the supply side is heterogeneous.

Figure 1

Population aging increases demand while several critical workforce groups carry substantial later-career exposure

Source: AAMC (2024) population and physician estimates; author calculations from BLS Current Population Survey annual averages for 2025. Values as published in Appendix C.

View the published figure

Demand growth changes the meaning of retention

In a slow-growth environment, retirement can be treated as a routine replacement. In an 8.4% growth environment, organizations must both replace exits and expand capacity simultaneously. This creates a compound requirement: recruit new workers, develop them to independent practice, preserve experienced judgment, and redesign work so later-career employees can continue safely if they choose.

BLS projects that health care and social assistance will add about 1.98 million jobs from 2024 to 2034, an 8.4% increase and the fastest sector growth in the economy. The challenge is particularly sharp in services for older adults and people with disabilities, which BLS projects will add more than half a million jobs through 2034.

Source: AAMC (2024); BLS (2026).

Section 03

The age structure is uneven across health care

The broad category of health care masks large differences in age profile. Medical records specialists had the largest age 55+ share among the selected occupations in this analysis, followed by home health aides and personal care aides. Registered nurses and radiologic technologists were closer to the sector average. Even a 21% to 23% exposure can be consequential when experience is concentrated in specialized roles or difficult-to-staff shifts.

Figure 2

Selected occupations and settings differ by more than 14 percentage points in their age 55+ share

Source: Author calculations from BLS Current Population Survey Tables 11b and 18b, 2025 annual averages.

View the published figure

Table 1. Selected 2025 workforce age indicators and plausible experience domains

Source: BLS Current Population Survey, 2025. Experience domains are an analytic interpretation, not measured BLS variables.

The distinction that matters

Exposure becomes risk only under five conditions

Exposure becomes risk when exits are likely, knowledge is concentrated, preparation time is long, alternatives are scarce, and bench strength is weak. The same age profile can therefore be stable in one organization and hazardous in another. That is precisely the interaction the Experience-at-Risk Index is built to surface.

Original editorial image generated for this research. It is illustrative and does not depict a real institution or patient record.

Section 04

Nursing data refute a simple collapse narrative

Nursing illustrates why workforce claims must specify the population and denominator. The 2024 National Nursing Workforce Survey found a median age of 50 among licensed RNs. The 2025 BLS Current Population Survey found a median age of 42.3 among employed registered nurses. HRSA found an average RN age of 43.3. None of these figures is necessarily wrong. They answer different questions.

Table 2. Why valid nursing estimates can differ

Source: AACN (2026); Auerbach et al. (2024); BLS (2026); HRSA (2025); Smiley et al. (2025).

Figure 3

National RN supply is projected to grow, but setting, geography, turnover, and experience mix remain unresolved

Source: Auerbach, Buerhaus, Donelan, and Staiger (2024). The forecast excludes RNs younger than 23 and older than 70 and represents FTEs.

View the published figure

Auerbach and colleagues project that the RN workforce will grow by roughly 1.2 million FTEs to 4.56 million by 2035, with RNs aged 35 to 49 accounting for 47% of the workforce. That finding is powerful counterevidence to a national RN-collapse thesis. However, the study also notes that whether growth will match the settings and services that need RNs remains uncertain. HRSA projects a 3% national RN shortage in 2038 but an 11% shortage in nonmetro areas, alongside a 30% LPN shortage.

Section 05

Physician exposure is both large and slow to replace

The physician workforce faces both high retirement exposure and exceptionally long replacement lead times. Medical school expansion matters, but physician supply is constrained by education, residency capacity, specialty choice, geography, and the time required to reach independent practice.

Source: AAMC (2024).

Table 3. Selected national projections and why they should remain separate

Source: AAMC (2024); BLS (2026); HRSA (2025). Differences in model, horizon, and unit prevent direct arithmetic combination.

The strongest physician finding is not a single shortage number. It is the interaction between a 42% age 55+ share, long preparation times, and geographic imbalance. This interaction raises the value of late-career faculty roles, phased clinical schedules, telehealth where appropriate, team-based care, and deliberate transfer of referral, diagnostic, procedural, and local-system knowledge.

Equity changes the denominator

Source: AAMC (2024).

Section 06

Allied health and support roles carry hidden experience risk

Public discussion often centers on physicians and nurses, but the patient journey depends on technologists, aides, coders, schedulers, therapists, laboratory professionals, and many other roles. In several of these occupations, small national headcounts, local scarcity, credentialing requirements, or shift specialization can make a few departures disproportionately consequential.

Radiologic technologists: 23.0% is not the whole story

Radiologic technologists had a 23.0% share of the age 55+ in 2025. That percentage alone does not establish a crisis. It becomes strategically important when an experienced technologist is the only person available for a modality, a difficult shift, a pediatric protocol, a complex procedure, or a newly implemented system.

A mixed-methods study across two cancer-center medical imaging departments found that face-to-face communication was the dominant knowledge-sharing mechanism, and identified time constraints, staffing shortages, language barriers, and absent or unclear incentives as barriers. A related systematic review identified individual, departmental, technological, financial, and geographic influences on knowledge sharing in imaging.

Source: Almashmoum, Cunningham, and Ainsworth (2023, 2024). Two cancer centers, small samples, limited generalizability.

Figure 4

Medical imaging makes tacit knowledge visible

Safe performance depends on protocol selection, positioning, workflow, communication, and exception handling, not just on equipment operation. Every one of those is learned beside someone who already knows it.

Original editorial image generated for this research. It is illustrative and does not depict a real institution or patient record.

Home-based care deserves equal attention

Home health care services had a 31.2% workforce share among age 55+ workers in 2025. Home health aides and personal care aides also had comparatively high exposure. These jobs are physically and emotionally demanding, frequently decentralized, and essential to aging in place.

Retention strategies must account for travel, scheduling, ergonomics, safety, pay, caregiver responsibilities, and the relational knowledge developed in patients’ homes. Digital documentation alone cannot reproduce the contextual judgment of an experienced home-based worker.

Source: BLS Current Population Survey, 2025 annual averages.

Section 07

Turnover and burnout compound retirement exposure

Chronological age is only one part of exit risk. Post-pandemic labor flows and working conditions can accelerate departures or reduce hours across age groups. Entries also rose, which means hiring can keep headcount stable while churn disrupts continuity and consumes training capacity.

Figure 5

Burnout receded after its 2022 peak in the VHA study but remained above the 2018 baseline in 2023

Source: Mohr et al. (2025). Annual organization-wide survey across 140 VHA medical centers; results should not be generalized uncritically to every U.S. health care setting. Values as published in Appendix C.

View the published figure

Modifiable conditions, not individual resilience

CDC analysis of nationally representative Quality of Worklife data provides complementary evidence. In 2022, 45.6% of health workers reported feeling burned out often or very often, and 44.2% were somewhat or very likely to seek a new job. Modifiable conditions were strongly associated with lower odds of burnout. These data do not prove causation, but they shift attention away from individual resilience alone toward organizational design.

Table 4. Working conditions associated with lower odds of burnout among health workers in 2022

Source: Nigam et al. (2023).

Section 08

A headcount replacement is not an experience replacement

Experience is distributed across at least four forms of organizational capital. A vacancy measure captures none of these directly.

Tacit knowledge requires social transfer

Policies and protocols are necessary but incomplete. Tacit knowledge is often embedded in observation, timing, exception handling, communication, and the rationale behind a decision. Almashmoum et al. (2024) found high motivation to share knowledge in medical imaging, yet practical barriers limited participation.

Table 5. From individual expertise to organizational capability

Source: Author synthesis informed by Almashmoum et al. (2023, 2024) and the knowledge-management literature.

Section 09

The Experience-at-Risk Index

Most workforce dashboards track vacancies, turnover, time-to-fill, and labor cost. These measures identify pressure but not the organizational consequence of losing a particular person or role. EARI is a unit-level prioritization construct designed to surface where exit exposure and knowledge concentration intersect.

Figure 7

Exposure, probability, concentration, lead time, and scarcity, discounted for bench strength

EARI is not a probability of failure and not an individual risk score. It is a prompt to investigate coverage, transfer, succession, and work design in the units where five conditions are true at once.

Author-proposed construct. Formulas and thresholds require empirical validation before predictive or comparative use.

Section 10

Candidate variables, data sources, and pilot anchors

Each factor is normalized from 0 to 1 at the team, shift, specialty, or site level. Organizations should test reliability, fairness, construct validity, and predictive validity before use.

Table 6. Candidate EARI variables and data sources

Source: Author proposal.

Appendix B. EARI pilot instrument anchors

Source: Conceptual pilot anchors. Formal scale development should include content validity, inter-rater reliability, criterion validity, fairness, and sensitivity analysis.

Investment logic

The business case should avoid counting every retained older worker as a savings. Instead, estimate avoidable agency cost, overtime, recruitment expense, onboarding time, lost throughput, backlog, quality rework, and manager time. Compare those costs with schedule redesign, ergonomic supports, mentor workload credit, and phased-role investment.

Section 11

Older workers are an asset, not a deficit category

Any analysis of an aging workforce can reproduce ageism if it treats older employees as a burden, assumes decline, or converts age into an individual employment decision. The evidence supports a different approach.

Table 7. Age-inclusive design principles for health care

Source: Author synthesis informed by Chen et al. (2024), Katiraee et al. (2024), Mori et al. (2024), OECD (2025), and Kurashvili et al. (2023).

Section 12

A 12-month agenda for health care leaders

The aging workforce should be governed as a capacity, access, and knowledge-continuity portfolio. Human resources holds important data and policy levers, but operations, clinical leadership, education, quality, finance, legal, technology, and employee representatives all play a part. The first year should emphasize segmentation, voluntary dialogue, quick work-design improvements, and measurable knowledge transfer.

Governance first

Name the sponsor before you calculate anything

The first 90 days are not an analytics exercise. They establish who owns the question, which roles count as critical, what privacy rules apply, and which unit will pilot. Every later step depends on those four decisions.

Original editorial image generated for this research. It is illustrative and does not depict a real institution or patient record.

Source: Author implementation framework. Legal review is required for retirement, benefits, accommodations, and age-discrimination considerations.

Section 13

Measure what headcount misses

Table 9 sets out the minimum experience-risk dashboard: seven domains, each with named measures, a cadence, and an owner. The self-assessment below scores your current reporting against all seven and identifies where a vacancy report is doing work it cannot do.

Table 9. Minimum experience-risk dashboard

Source: Author framework. Measures should be researched only at aggregation levels that protect employee privacy.

Section 14

What future research must test

Current evidence establishes workforce aging, geographic imbalance, turnover pressure, ageism, and practical barriers to knowledge sharing. It does not yet establish a validated cross-occupation measure of experience risk or the causal effect of age-inclusive interventions on patient access. A PhD-level research program should move from description to prediction and intervention.

Table 10. Priority research questions and designs

Source: Author-proposed research agenda.

Candidate hypotheses

Analyses should pre-specify age bands, protect privacy, and distinguish individual from unit-level inference.

From description to prediction

EARI is a hypothesis, and it should be treated as one

The index was developed deductively from recurrent risk dimensions in the evidence and workforce-operations logic. It has not been psychometrically or predictively validated. Publishing it is an invitation to test it, not a claim that it works.

Original editorial image generated for this research. It is illustrative and does not depict a real institution or patient record.

Section 15

Methods, limitations, and definitions

This research used a critical integrative evidence synthesis design. The purpose was to reconcile current descriptive and projection data with peer-reviewed evidence on turnover, ageism, work engagement, and knowledge transfer, then develop an actionable conceptual model. It was not registered as a systematic review and does not claim exhaustive literature capture.

Source strategy

Priority was given to U.S. federal sources, national professional workforce surveys, and peer-reviewed studies published from 2023 through July 2026. Older or international evidence was used when it addressed workforce-management mechanisms not available in recent U.S.-specific research. Key sources included BLS Current Population Survey annual-average age tables, BLS 2024 to 2034 employment projections, HRSA’s 2025 workforce research, AAMC physician projections, the 2024 National Nursing Workforce Survey, and peer-reviewed cohort, survey, mixed-methods, and systematic-review studies.

Analytic approach

• Age 55+ shares were calculated as (age 55 to 64 count + age 65+ count) divided by total employed count using BLS 2025 annual averages.
• Measures were not combined when denominators differed. Licensed workforce, employed headcount, FTE supply, stated retirement intention, and projected shortage were treated as separate constructs.
• Conflicting forecasts were retained when they represented credible alternative methods or horizons. The analysis focused on what the difference means for decisions.
• The EARI was developed deductively from recurrent risk dimensions in the evidence and workforce-operations logic. It has not been psychometrically or predictively validated.

Table 11. Evidence hierarchy and use in this research

Source: Author assessment.

Limitations

• BLS age estimates are survey-based, and some detailed occupations have small samples. The research omits several small-cell estimates from headline figures.
• Age 55+ is an exposure band, not a retirement prediction. Workers retire at different ages, reduce hours, change roles, or continue working for many years.
• Retirement intentions may not become actual exits, and national averages may not represent a specific employer, specialty, shift, or geography.
• Forecasts depend on assumptions about education, migration, hours, retirement, technology, utilization, scope of practice, and policy.
• The EARI and provisional scoring approach are conceptual. They require validation, fairness testing, and governance before operational use.
• The synthesis emphasizes U.S. health care, while some age-inclusive workforce evidence is international and should be adapted to U.S. law and employment practice.

Appendix A. Data definitions and calculation notes

Source: Author definitions based on the cited sources.

Appendix C. Figure data

Section 16

References

Filter by evidence type. Every entry links to the published source where a DOI or permanent URL is available.