What Patients Are Really Paying For

For a Copy of the full research paper, contact Kelly Emrick

Executive Research Report

What Patients Are Really Paying For

An economic and marketing strategy for clinical resolution, convenient access, and the human experience. From transactional care to a patient-value operating model.

Critical Integrative Evidence SynthesisThree-Pillar Value ArchitectureVerified Financial Model14 Interactive Sections
Cover of the executive research report What Patients Are Really Paying For, showing a patient in conversation with a nurse and physician.

Executive Summary

Patient value is an operating model, not a satisfaction initiative

Clinical resolution, access convenience, and human experience jointly determine whether care is obtained, completed, understood, trusted, and continued. Managed separately, each can improve while the patient still fails to receive the benefit.

$5.3T

U.S. health spending, 2024

$15,474 per person. CMS National Health Expenditure Accounts.

28%

Sponsored by households

Second only to the federal government at 31%.

$556.6B

Out-of-pocket spending

An increase of 5.9%, changing how patients perceive price, timing, necessity and risk.

7.3%

Adults forgoing needed medical care because of cost

Up from 6.4% in 2023. NHIS early-release estimates.

What the report concludes

  • The economics are material. Cost-related forgone care represents both a welfare loss and a failure of demand conversion, not merely dissatisfaction.
  • The strategic objective is not to maximize hospitality. It is to maximize clinically meaningful value while minimizing avoidable financial, administrative, cognitive, geographic and emotional friction.
  • A patient-value strategy requires integrated governance, journey redesign, transparent measurement, local economic modeling and equity stratification.
  • It should be funded through capacity recovery, reduced rework, improved completion, stronger retention and better clinical continuity.

Leadership conclusion

Patients are not purchasing isolated encounters. They are seeking resolution of a health concern, a feasible path to obtain care, and confidence that the system will treat them competently and humanely.

How to use this dashboard

Five sections contain working models rather than static content. Each runs the arithmetic the report specifies, so figures can be replaced with local data.

  • Value Function runs the report’s PV equation, including the multiplicative trust and equity terms.
  • Journey & Friction scores accumulated friction across the six journey stages.
  • Operating Model is an eighteen-item maturity diagnostic across the six capabilities.
  • Financial Model rebuilds the annual bridge and the completion-rate sensitivity grid from editable assumptions.
  • Measurement configures a balanced scorecard against the KPI dictionary.

Every published figure from the report is reproduced as an interactive chart, with the original figure available directly beneath it for verification.

The Central Thesis

Healthcare value is experienced as a journey

The marketing heuristic holds that people pay for solutions, convenience and experiences. As a heuristic it is memorable. As a healthcare strategy it requires greater precision.

Patients rarely have complete information, often enter care in a state of uncertainty or vulnerability, and may not control the financing or referral pathway. Healthcare purchasing therefore differs from ordinary consumer choice because clinical need, insurance design, professional agency, regulation, urgency and asymmetric information constrain both choice and willingness to pay.

A defensible interpretation is that patients seek three forms of value: clinical resolution, including diagnosis, treatment, prevention, symptom relief, function or reassurance; access convenience, defined as lower time, effort, coordination and administrative burden; and a human experience that produces dignity, comprehension, confidence and relational trust. These are jointly conditioned by affordability, evidence, risk, equity and alternatives.

Figure 1 | Author-developed framework

The Patient Value Architecture

Read this as an integrated architecture rather than a menu. The strategic requirement is simultaneous optimization.

Figure 1. The Patient Value Architecture. Three overlapping circles labeled clinical resolution, access and convenience, and human experience, meeting at a central node labeled patient value, above six foundational value conditions: trust, affordability, evidence, equity, risk and choice.

Source: Author synthesis of consumer-value theory, patient-centered care, health economics, and service-convenience research.

Outcome without access

Clinical excellence that patients cannot reach is unrealized value. The capability exists on paper and produces nothing.

Access without competence

Frictionless access to ineffective care simply accelerates the delivery of care that does not work.

Experience without integrity

A pleasant encounter without clinical integrity can create satisfaction while failing the patient.

Why simple consumerism is insufficient

Consumer research has long distinguished functional, emotional, social, epistemic and conditional value. Utilitarian and hedonic value can coexist in the same transaction, while service convenience reflects multiple costs of decision, access, transaction, benefit and post-benefit use.

Healthcare adds three features that break the analogy: information asymmetry, clinical risk, and third-party financing. The patient is simultaneously a person with preferences, a recipient of professional judgment, a payer or premium contributor, and a citizen whose access is shaped by policy and social conditions.

Table 1

Translating consumer value into healthcare strategy

Each value logic carries a patient question and an operating implication. Select a logic to see what it demands of the delivery system.

Solution → Clinical resolution

“Will this care answer, treat, prevent, or relieve what matters?”

Operating implication: organize around outcomes and completed episodes, not isolated transactions.

Table 1. Translation of consumer value into healthcare strategy

Value logicHealthcare interpretationPatient questionOperating implication
SolutionClinical resolutionWill this care answer, treat, prevent, or relieve what matters?Organize around outcomes and completed episodes, not isolated transactions.
ConvenienceAccess feasibilityCan I obtain and complete care without excessive time, effort, or confusion?Redesign scheduling, authorization, navigation, transport, and follow-up.
ExperienceHuman and emotional valueWill I be treated with dignity and leave with confidence and understanding?Build communication, empathy, continuity, and anxiety reduction into standard work.
TrustCredibility under uncertaintyDo I believe the recommendation, organization, and people caring for me?Use transparent evidence, reliable follow-through, and aligned incentives.
AffordabilityFinancial feasibilityCan I accept this care without unacceptable financial harm?Integrate estimates, benefit navigation, alternatives, and financial counseling.
EquityFair opportunity to benefitDoes the care model work for people with my language, disability, geography, and resources?Stratify performance and redesign for structurally disadvantaged groups.

The Economic Case

Patient friction is a real cost

Conventional accounting recognizes wages, supplies, capital and claims, but often ignores the resources patients expend to obtain care.

Time away from work, travel, childcare, repeated telephone calls, uncertainty, form completion, prior authorization, price ambiguity and fragmented follow-up are transaction costs. They can suppress demand, delay diagnosis, increase nonattendance, weaken adherence, and shift utilization toward more expensive settings.

In welfare economics, an intervention should be judged by the health and utility it produces relative to all resources consumed. A patient-value strategy therefore expands the denominator beyond the provider’s cost ledger to include patient time, financial exposure, cognitive load and risk. Reducing patient friction can create value even when the clinical procedure itself remains unchanged.

Figure 2. Sponsors of U.S. health spending, 2024

Households sponsored 28% of national health spending, second only to the federal government.

Source: Centers for Medicare & Medicaid Services, National Health Expenditure Accounts. Shares may not total 100% because of rounding.

Published Figure 2, a horizontal bar chart of sponsors of U.S. health spending in 2024.

National health expenditures reached $5.3 trillion, or $15,474 per person, in 2024. Households sponsored 28% of spending, while out-of-pocket spending increased 5.9% to $556.6 billion. Affordability is not external to the patient experience; it is a core determinant of whether value can be realized.

Figure 3. Cost-related barriers to care, 2023 and 2024

Forgone medical and mental healthcare both rose. Cost-driven medication changes remained essentially flat.

Source: National Center for Health Statistics, National Health Interview Survey early-release estimates. The medication indicator includes skipped doses, reduced doses, or delayed fills to save money. The published figure carries 95% confidence intervals on the 2024 estimates.

Published Figure 3, a grouped bar chart of cost-related barriers to care in 2023 and 2024 with 95 percent confidence intervals.

7.3%

Did not obtain needed medical care because of cost

Up from 6.4% in 2023.

5.9%

Did not obtain needed mental healthcare because of cost

Up from 5.4% in 2023.

7.7%

Altered medication use to save money

Essentially unchanged from 7.8% in 2023.

Why this is not a satisfaction problem

These indicators represent more than dissatisfaction. They reflect unmet need, potential clinical deterioration, reduced adherence, and foregone demand. Cost-related forgone care is simultaneously a welfare loss and a failure of demand conversion.

A Formal Patient-Value Model

The patient value function

Value creation and value erosion in one expression. The multiplicative treatment of trust and equity is intentional.

PV = (CR + AC + HE) × T × E(PF + FC + TC + CL + RU)

Care-value core

  • CR Clinical resolution
  • AC Access convenience
  • HE Human experience

Value multipliers

  • T Trust
  • E Equity realization

Patient burden

  • PF Price or financial exposure
  • FC Friction cost
  • TC Time cost
  • CL Cognitive load
  • RU Residual uncertainty and risk

Author-developed conceptual model

The Patient Value Function

Patient value rises when outcomes, access, experience, trust and equity increase faster than financial, friction, time, cognitive and uncertainty burdens.

The Patient Value Function diagram, showing the equation with its care-value core, value multipliers, and patient burden components.

Source: Author-developed conceptual model of value creation and value erosion in healthcare.

Patient Value Function Calculator

Score the components for one service line. The calculator runs the report’s equation and isolates how much realized value the multipliers are discarding.

Care-value core (0 to 10 each)

7
5
6

Value multipliers (0% to 100%)

80%
75%

Patient burden (0 to 10 each)

6
6
5
5
4
Care-value core (CR + AC + HE)18 / 30
Patient burden (denominator)26 / 50
Combined multiplier (T × E)0.60x
Value at full trust and equity0.69
Value discarded by the multipliers0.28
Patient value (PV)0.42

Realized share of achievable value: 60%

Value drivers against patient burden

Why trust and equity multiply rather than add

A technically excellent service can yield little realized value when patients do not trust the recommendation, or when the operating model systematically excludes people with limited transportation, language access, disability accommodations or digital capabilities. Likewise, lowering one category of friction can create offsetting burdens elsewhere. Moving scheduling online may reduce wait times for some patients while increasing exclusions for others.

Table 2

Economic mechanisms and strategic responses

Six mechanisms from economics and behavioral science, each with a healthcare manifestation, an organizational risk, and a response.

Economic mechanismHealthcare manifestationOrganizational riskStrategic response
Information asymmetryPatients cannot independently judge technical quality.Reliance on reputation, referral, or superficial cues.Transparent evidence, plain-language explanation, shared decisions, reliable handoffs.
Transaction costScheduling, authorization, travel, forms, and repeated contacts.Abandonment, no-shows, leakage, and delayed care.Single-path navigation, fewer touches, omnichannel access, proactive coordination.
Present biasImmediate inconvenience outweighs future health benefits.Deferred screening, missed appointments, low adherence.Timely prompts, immediate scheduling, defaults, commitment devices.
Loss aversionPatients fear bad news, pain, cost, or loss of control.Avoidance and late presentation.Anxiety-sensitive preparation, credible reassurance, transparent cost, and choices.
Agency problemProvider recommendations influence utilization under uncertain incentives.Mistrust and perceived overuse.Appropriateness criteria, transparency of conflicts, and patient-centered communication.
Scarcity constraintLimited money, time, transport, or attention.Unequal completion and outcomes.Flexible hours, transportation support, financial navigation, and alternative modalities.

Severity dots indicate the mechanisms most directly implicated in the conversion losses discussed in the report. Source: author synthesis.

The asymmetry that defines the market

Because patients cannot independently judge technical quality, they substitute observable cues: reputation, referral, and the surface qualities of the encounter. This is precisely why a pleasant experience layered over weak clinical integrity is dangerous. It satisfies the proxy the patient is forced to use while failing the outcome they came for.

Why convenience can backfire

Several responses in this table shift effort. Self-service scheduling, digital forms and portal-based results all reduce organizational transaction cost, but they can raise the patient’s cognitive load and exclude those without digital capability. The test is not whether a step was removed, but whose ledger it moved to.

The Patient Journey

Where value is lost

Healthcare organizations typically manage departments, but patients experience transitions. Each transition creates an opportunity for friction, delay, duplication, misunderstanding, or loss of confidence.

Journey mapping is therefore not merely a service-design activity. It is an economic method for locating where scarce patient and organizational resources are consumed without generating clinical benefit.

Figure 4. Patient journey and friction accumulation

Six stages, each carrying a characteristic form of friction.

Figure 4. The patient journey as an accumulation of economic and emotional friction across six stages: need recognized, find and choose, schedule and authorize, receive care, understand results, and continue or recover.

Source: Author-developed journey model informed by access, transportation, health literacy, and appointment-attendance literature.

Journey Friction Mapper

Click each stage to cycle its friction level from 0 to 4 for one priority episode. The six stages and their friction types are taken from Figure 4; the levels are your local estimate and should be replaced with observed contacts, waits, abandonment and completion data.

Material accumulated friction

Total friction score14 / 24
Friction index58
Heaviest stageSchedule and authorize
Dominant friction typeAdministrative burden

Stage friction and accumulation

The measurement unit that matters

The key measurement unit should be the completed clinical episode, not the scheduled slot or departmental encounter. A schedule can appear full while patients are lost before authorization, fail to attend, cannot understand instructions, or never complete follow-up. The value architecture measures conversion from recognized need to realized clinical benefit.

Strategic Pillars One, Two and Three

Clinical resolution, access convenience, human experience

Pillar One: Clinical resolution

Clinical resolution is the primary promise of healthcare. It includes the degree to which care answers the diagnostic question, improves survival or function, relieves symptoms, prevents avoidable harm, and enables the next appropriate decision. A patient-centered strategy fails when experience metrics are disconnected from clinical outcomes.

Define the product as an outcome-bearing episode. For diagnostic imaging, the product is not the scan. It is an appropriate examination, completed safely, interpreted accurately, communicated promptly, and connected to the next clinical action. For primary care, the product is not the visit. It is the resolution or disciplined management of a health need over time.

  1. Define the episode’s clinical promise in patient language and specify the outcome or decision it should enable.
  2. Measure appropriateness, completion, diagnostic or therapeutic timeliness, follow-up closure, safety, and patient-reported outcome where feasible.
  3. Design escalation pathways for abnormal findings, unmet social needs, deterioration, and unresolved questions.
  4. Do not permit experience incentives to suppress necessary candor, evidence-based refusal, or safety requirements.

Pillar Two: Access convenience

Convenience in healthcare should be defined as the reduction of avoidable patient effort without compromising clinical quality or equity. The service-convenience framework is useful because it separates decision, access, transaction, benefit and post-benefit convenience. In practice, a patient may easily locate a service but still encounter barriers to authorization, price, transportation, preparation, or results.

Transportation barriers have been associated with rescheduled or missed appointments, delayed care, and delayed medication use, particularly among people with lower incomes or inadequate insurance. Appointment nonattendance is similarly multifactorial. Convenience strategy must therefore integrate operations, digital access, behavioral economics, and social support.

Table 3. Access-convenience intervention portfolio

Journey problemInterventionPrimary metricEquity safeguard
Search and choice frictionCentral service directory, referral guidance, and transparent eligibility.Referral-to-scheduling conversionLanguage, disability, and non-digital access.
Scheduling frictionSelf-scheduling plus assisted scheduling, wait-list fill, and extended hours.Time to appointment; abandoned callsMaintain telephone and navigator alternatives.
Authorization frictionProactive benefit verification, standardized documentation, and exception escalation.Authorization turnaround; denial rateTrack payer and demographic variation.
Attendance frictionTwo-way reminders, easy rescheduling, transport screening, and preparation confirmation.Completion; late cancellation; no-showAvoid punitive policies that amplify deprivation.
Result frictionPlain-language result delivery with next-step ownership.Result acknowledgment; closed-loop follow-upInterpreter access and accessibility standards.
Continuity frictionNamed owner, warm handoff, care-plan reminders.Follow-up completion; leakageMonitor rural, low-income, and digitally excluded groups.

Pillar Three: Human experience

Human experience is the cognitive and emotional interpretation of care: whether the patient felt respected, understood, informed, safe, and confident. Systematic reviews have found positive associations among patient experience, clinical effectiveness, safety, adherence, and utilization. However, the business-case literature remains heterogeneous and does not justify assuming that every experience intervention produces a positive financial return.

The strongest experience strategy does not rely on charisma or slogans. It converts communication, anxiety reduction, informed choice, and follow-through into reliable standard work. This requires adequate staffing, leadership modeling, clinician support, and measurement that distinguishes interpersonal care from structural access.

  • Begin every episode by identifying the patient’s goal, concern, and preferred level of participation.
  • Use plain language, teach-back, and written next steps that make responsibility visible.
  • Design high-anxiety services around preparation, expectation setting, privacy, comfort, and control.
  • Treat complaints as operating intelligence and close the loop with patients and staff.
  • Measure confidence and comprehension in addition to global satisfaction.

Strategic Multipliers

Trust, affordability, and equity

These are not adjacent programs. In the value function they multiply, which is why weakness in any one of them caps what the three pillars can deliver.

Trust

Trust explains why patients accept recommendations, disclose information, adhere to treatment, and return. Reviews of health-system trust identify relationships with utilization, medication adherence, continuity of care, and access.

Trust cannot be manufactured through promotion when the underlying delivery system is unreliable. Marketing claims must therefore be operational promises.

Affordability

Affordability requires more than posting prices. Patients need understandable estimates, benefit interpretation, alternatives, financing information, and clarity about clinical consequences.

Price transparency without decision support simply shifts cognitive burden to patients. The ethical objective is informed feasibility, not merely disclosure.

Equity

Equity changes the unit of analysis. Average performance can improve while disparities widen.

Every core metric should be stratified by race, ethnicity, language, disability, payer, income proxy, geography, age, and digital access when lawful and analytically appropriate. Distinguish equal treatment from equitable opportunity to benefit.

Marketing principle

In healthcare, the brand is the accumulated reliability of the operating model. Advertising can create an expectation, but only clinical and operational performance can sustain trust.

Marketing implications: promise only what operations can reliably deliver

Healthcare marketing should articulate the value proposition in patient terms without trivializing clinical complexity. The strongest positioning identifies the problem resolved, the effort removed, and the experience protected, then supports those claims with operational proof.

Value proposition template

For [priority patient group], we provide [clinical resolution] through [credible care capability], with [specific access advantage] and [human experience commitment], demonstrated by [measurable proof].

For an outpatient diagnostic service this might become: we help patients and referring clinicians obtain a clear diagnostic answer quickly, safely, and with less administrative burden, supported by transparent preparation, compassionate care, and timely results. The statement is effective only if scheduling, authorization, safety, interpretation, communication, and follow-up can sustain it.

Marketing performance should be evaluated beyond impressions and leads. Relevant measures include referral conversion, patient acquisition cost, completed episodes, appropriate retention, digital abandonment, reputation themes, result-cycle reliability, and lifetime relationship value. Growth that increases waiting, confusion, or inequity can destroy long-term brand value.

The Patient-Value Operating Model

Six capabilities, managed as one portfolio

Episode definition, journey ownership, access engineering, communication reliability, value analytics, and equity governance. These should be managed as an integrated portfolio rather than dispersed across patient experience, marketing, operations, quality, and finance.

  • Define priority episodes. Select services with high patient friction, high clinical consequence, material capacity loss, or visible disparity.
  • Map the end-to-end journey. Measure every handoff, wait, contact, failure, and recovery pathway from recognized need through follow-up.
  • Quantify patient and organizational friction. Estimate time, touches, abandonment, no-shows, rework, leakage, avoidable utilization, and financial burden.
  • Redesign around the three value pillars. Pair clinical outcome requirements with access and experience interventions.
  • Instrument the operating model. Build a balanced scorecard combining outcomes, convenience, experience, economics, and equity.
  • Scale through governance. Assign executive ownership, standardize proven components, preserve local adaptation, and reinvest verified gains.

Patient-Value Operating Model Maturity Diagnostic

Eighteen items across the six capabilities. Because the report treats these as an integrated portfolio, a single collapsed capability caps the overall band regardless of the total score.

0Maturity

Fragmented

0 of 18 answered

Weakest capability
Its score0%

Capability profile

Governance and organizational design

Executive sponsorship should unite clinical, operational, financial, experience, marketing, digital, and equity leadership. Without integrated governance, each function can optimize its own metric at the expense of the patient journey: marketing may increase demand that operations cannot absorb; digital teams may shift burden to patients; finance may protect short-term margin while increasing abandonment; experience teams may focus on courtesy while structural access deteriorates.

  • Establish a Patient Value Council chaired jointly by a clinical and operating executive.
  • Assign an accountable journey owner for each priority episode, with authority across departmental boundaries.
  • Require a patient-impact, safety, affordability and equity review for major access and digital changes.
  • Integrate verified patient-value gains into capital allocation and annual operating plans.
  • Create a disciplined stop rule for interventions that add burden, lack evidence, or worsen disparities.

Economic Model

Converting patient value into organizational value

The business case should be modeled locally, because revenue, contribution, capacity constraints, payer mix and baseline friction differ substantially by service line. The scenario below demonstrates the method rather than claiming a national effect size.

Scenario values are assumptions, not observed national estimates. Every input below is editable. The defaults reproduce Table 4 and Figure 5 of the report exactly.

Annual Financial Bridge Builder

Replace each assumption with local net revenue less variable cost, observed completion loss and actual program cost. The bridge, the ROI and the sensitivity grid all recompute.

Completion gain$75,000
Referral retention gain$50,000
Administrative rework saved$70,000
Clinical rework avoided$12,000
Gross annual benefit$207,000
Annual program cost-$85,000
Net annual value$122,000

143.5%

First-year ROI

Net benefit divided by program cost.

300

Additional completed episodes

From the completion-rate gain alone.

Figure 5. Illustrative annual financial bridge

Rebuilt live from the assumptions above.

Source: Author scenario model. At the report’s default assumptions, net value of $122,000 equals $207,000 gross benefit less $85,000 program cost; implied first-year ROI is approximately 144%.

Published Figure 5, a waterfall chart of the illustrative annual financial bridge.

Table 4. Illustrative ambulatory service-line assumptions

AssumptionValueRationale
Scheduled episodes10,000 annuallyScalable denominator for service-line planning.
Contribution per completed episode$250Replace with local net revenue less variable cost.
Completion-rate improvement3 percentage pointsIllustrates reduced no-shows, cancellations, and abandonment.
Referral retention improvement2 percentage pointsIllustrates reduced leakage among eligible episodes.
Administrative rework reduction0.20 hours at $35/hourIllustrates fewer calls, corrections, forms, and handoffs.
Clinical rework avoided$12,000Conservative placeholder for repeat or preventable work.
Annual program cost$85,000Navigation, technology, analytics, training, and improvement support.

Figure 6. Completion-rate value sensitivity

Incremental contribution by contribution per episode and percentage-point completion gain. The gold outline marks your current scenario.

Contribution1 pp2 pp3 pp4 pp5 pp

Source: Author calculations. Incremental value equals scheduled episodes multiplied by percentage-point completion gain and contribution per completed episode. The grid recomputes from the scheduled-episode count entered above.

Published Figure 6, a heatmap of completion-rate value sensitivity.

How to read the sensitivity grid

At 10,000 scheduled episodes, each one-percentage-point improvement represents 100 additional completed episodes. Financial value scales directly with contribution per episode, which is why leaders should prioritize constrained, high-contribution services with measurable completion loss. The clinical and equity value may nonetheless justify intervention where contribution is modest.

Measurement

A balanced scorecard for patient value

A patient-value strategy will fail if reduced to a single global satisfaction score. Satisfaction is influenced by expectations, case mix, survey response, and factors outside the organization’s control.

Figure 7 | Author-developed measurement model

Balanced Measurement Architecture

No single patient-experience score can represent the full operating model.

Figure 7. Balanced measurement architecture with three columns for outcomes, convenience and experience, and a banner instructing that every metric be stratified by race, ethnicity, language, disability, payer, age, geography and digital access.

Source: Author-developed measurement model.

The scorecard should include leading indicators, such as abandoned calls and authorization time, and lagging indicators, such as completion, follow-up closure, patient-reported outcome, and avoidable acute utilization. Every metric requires a defined cohort, denominator, time window, comparison basis, and accountable owner.

Balanced Scorecard Configurator

Select the metrics your organization currently measures with a defined denominator and owner. Coverage is calculated across the five domains of the KPI dictionary.

Metrics in place2 of 8
Scorecard coverage25%

Domain coverage

Table 5. Core patient-value KPI dictionary

DomainMetricDefinitionDecision use
Clinical resolutionEpisode completionPatients completing the clinically intended episode divided by eligible patients.Detect care-path loss beyond scheduled volume.
Clinical resolutionClosed-loop follow-upActionable results with documented next-step completion divided by actionable results.Identify unresolved clinical risk.
ConvenienceTime to accessMedian and 90th percentile days from order or request to completed care.Manage delay and tail risk.
ConveniencePatient effortContacts, forms, handoffs, travel and waiting required per completed episode.Locate non-value-added burden.
ExperienceCommunication reliabilityPatients reporting clear explanations and clear understanding of the next step.Test comprehension and confidence.
ExperienceRelational continuityEpisodes with a named owner and successful warm handoff.Reduce fragmentation and uncertainty.
EconomicsRecovered contributionIncremental contribution from verified completion, retention, or rework gains.Fund and scale the program.
EquityMaximum disparity gapLargest absolute difference in a core metric across priority patient groups.Prevent average improvement from masking inequity.

Implementation

A 365-day roadmap

Begin with one or two priority patient journeys where need, friction and strategic value are visible. A phased approach allows leaders to establish definitions, validate data, test interventions and build credibility before scaling.

0-90

Diagnose

Appoint a sponsor, select episodes, define cohorts, map journeys, establish baseline.

91-180

Redesign

Co-design interventions, simplify handoffs, build reminders, navigation and communication standards.

181-270

Validate

Measure outcomes, access, experience and economics against baseline; investigate unintended effects.

271-365

Scale

Standardize core components, adapt locally, integrate dashboards and management cadence.

Table 6. 365-day implementation roadmap

PhaseLeadership actionsPrimary deliverablesExit criteria
0-90 days
Diagnose
Appoint a sponsor, select episodes, define cohorts, map journeys, and establish a baseline.Journey map, friction inventory, KPI definitions, equity stratification, and financial baseline.Data definitions accepted; patient and staff evidence collected; priority failures agreed.
91-180 days
Redesign
Co-design interventions; simplify handoffs; build reminders, navigation, and communication standards.Pilot workflow, training, scripts, escalation logic, patient-facing materials.Pilot is operational; safety and equity checks passed; owners assigned.
181-270 days
Validate
Measure outcomes, access, experience, and economics; compare with baseline; investigate unintended effects.Evaluation report, sensitivity analysis, and intervention refinements.Improvement is credible, operationally stable, and not widening disparities.
271-365 days
Scale
Standardize core components; adapt locally; integrate dashboards and management cadence.Enterprise playbook, governance charter, investment plan, scale sequence.Executive decision to scale, modify, or stop based on verified value.

Further questions for leadership

  • Which patient journey creates the greatest combined clinical risk, patient burden, and capacity loss?
  • Where does the organization currently measure appointments or encounters when it should measure completed episodes and resolved needs?
  • Which access improvements are genuinely convenient, and which transfer work from employees to patients?
  • What operating promise is marketing making that the delivery system cannot yet fulfill reliably?
  • Which population experiences the largest disparity in time to access, completion, comprehension, or follow-up?
  • What verified financial gains can be reinvested in navigation, communication, affordability, and equity?

Caveats, Conclusion and Evidence Base

What this framework does and does not establish

Caveats and assumptions

The three-pillar framework is a strategic synthesis, not a validated psychometric scale. Its categories overlap, and some forms of value, including social identity, novelty, status and moral value, may require separate consideration. The framework should guide diagnosis and design rather than replace local patient research.

Associations between patient experience and outcomes do not establish that improving experience alone will cause better clinical or financial performance. Patient mix, organizational resources, staffing, case complexity and measurement methods can confound observed relationships. Economic returns should be estimated prospectively, tested with credible comparison methods where feasible, and updated with observed local data.

The national spending and access figures describe the United States and should not be interpreted as service-line benchmarks. The financial bridge and heatmap are illustrative scenarios. All local decisions should use validated volume, revenue, variable cost, capacity, payer, demographic and outcome data.

Conclusion

Healthcare organizations create patient value when they resolve clinically meaningful needs, make care feasible to obtain and complete, and deliver the episode with dignity, comprehension and trust. These are not separate programs. They are interacting components of the operating model.

The strategic shift is from managing transactions to managing realized benefit. That shift changes what leaders measure, how they allocate capital, how they design access, how they communicate, and how they evaluate growth. The organization that can reliably integrate clinical resolution, convenience and human experience will convert more need into completed care, reduce wasteful friction, strengthen continuity, protect trust, and create a more durable form of economic and social value.

References

Experience

Agency for Healthcare Research and Quality. (2026). Consumer Assessment of Healthcare Providers and Systems (CAHPS).

ahrq.gov/cahps

Health economics

Arrow, K. J. (1963). Uncertainty and the welfare economics of medical care. American Economic Review, 53(5), 941-973.

jstor.org/stable/1812044

Consumer value

Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656.

doi.org/10.1086/209376

Health literacy

Berkman, N. D., Sheridan, S. L., Donahue, K. E., et al. (2011). Health literacy interventions and outcomes: An updated systematic review. Evidence Report/Technology Assessment, 199, 1-941.

pubmed.ncbi.nlm.nih.gov/23126607

Service convenience

Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1-17.

doi.org/10.1509/jmkg.66.3.1.18505

National data

Centers for Medicare & Medicaid Services. (2026). National health expenditure data: NHE fact sheet.

cms.gov NHE fact sheet

Attendance

Dantas, L. F., Fleck, J. L., Cyrino Oliveira, F. L., & Hamacher, S. (2018). No-shows in appointment scheduling: A systematic literature review. Health Policy, 122(4), 412-421.

doi.org/10.1016/j.healthpol.2018.02.002

Experience and safety

Doyle, C., Lennox, L., & Bell, D. (2013). A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open, 3, e001570.

doi.org/10.1136/bmjopen-2012-001570

Patient-centered care

Grover, S., Fitzpatrick, A., Azim, F. T., et al. (2022). Defining and implementing patient-centered care: An umbrella review. Patient Education and Counseling, 105(7), 1679-1688.

doi.org/10.1016/j.pec.2021.11.004

Customer journey

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96.

doi.org/10.1509/jm.15.0420

National data

National Center for Health Statistics. (2025). Early release of selected estimates based on data from the 2024 National Health Interview Survey.

cdc.gov NHIS early release

Trust

Ozawa, S., & Sripad, P. (2013). How do you measure trust in the health system? A systematic review of the literature. Social Science & Medicine, 91, 10-14.

doi.org/10.1016/j.socscimed.2013.05.005

Value in healthcare

Porter, M. E. (2010). What is the value in health care? New England Journal of Medicine, 363, 2477-2481.

doi.org/10.1056/NEJMp1011024

Business case

Quigley, D. D., Reynolds, K., Dellva, S., & Anhang Price, R. (2021). Examining the business case for patient experience: A systematic review. Journal of Healthcare Management, 66(3), 200-224.

doi.org/10.1097/JHM-D-20-00207

Consumption values

Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170.

doi.org/10.1016/0148-2963(91)90050-8

Transportation

Syed, S. T., Gerber, B. S., & Sharp, L. K. (2013). Traveling towards disease: Transportation barriers to health care access. Journal of Community Health, 38(5), 976-993.

doi.org/10.1007/s10900-013-9681-1

Behavioral economics

Werner, K., Alsuhaibani, S. A., Alsukait, R. F., et al. (2023). Behavioral economic interventions to reduce health care appointment non-attendance: A systematic review and meta-analysis. BMC Health Services Research, 23, 1136.

doi.org/10.1186/s12913-023-10059-9

Perceived value

Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.

doi.org/10.1177/002224298805200302