A patient can get an appointment and still not receive timely care. The visit may produce an unaccepted referral, a diagnostic test that cannot be scheduled, or a hospital discharge plan that no outpatient team has agreed to carry out. Each department can record a completed task while the clinical question remains unresolved. An investigation of access must therefore follow the patient’s need across those boundaries and ask who remained responsible when progress stopped.

Levesque et al. (2013) describe access through service characteristics and people’s corresponding abilities to recognize a need, seek help, reach services, pay, and engage. This broader definition prevents a narrow scheduling metric from standing in for the patient’s experience. A timely appointment that cannot be reached, afforded, understood, or used appropriately does not fulfill the purpose of access. The Institute of Medicine (2015) likewise examined scheduling across primary, specialty, hospital, and postacute services as a systems problem.

The investigative hypothesis developed here is that some delay comes from insufficient staffed capacity, while another portion comes from how existing capacity is organized and how work passes between teams. These causes require different responses. A clinic cannot sustainably schedule its way out of a persistent demand–capacity deficit. Conversely, hiring another clinician may have little effect if referrals remain unreviewed or patients repeatedly encounter incomplete preparation requirements. Local evidence must establish the contribution of each mechanism.

The report proposes defining timely access as completion of a clinically appropriate action within a prospectively documented timeframe, with an accountable team responsible for communication and follow-through. Timeliness is conditional on need. An emergency, a time-sensitive diagnostic concern, a routine consultation, and planned surveillance require different pathways. A universal promise that every patient should receive the same service within the same number of days would conceal these differences.

Three questions should guide an institutional investigation. Where does elapsed time accumulate? Which patients fail to receive the intended care? What happened to their clinical needs while they waited? These questions require patient-level chronology and outcome classification. Averages calculated only among completed appointments exclude people who remain in the queue or abandon the process. Administrative closure can also obscure failure when staff mark a referral complete after unanswered calls.

The proposed model retains the original request timestamp even when responsibility changes. It records the interval to a first qualifying clinical action and the longer interval to a communicated plan or documented resolution of the episode. Clinical resolution means the presenting question has an agreed disposition or ongoing management plan; it does not imply a cure. Diagnostic steps, treatment, and follow-up can remain active after the first appointment. These distinctions make the pathway auditable without pretending every care need follows a single linear course.

Adadja et al. (2026) synthesized 29 studies of advanced access. Appointment waits improved in all 23 studies that measured that outcome, while results on continuity and satisfaction were less consistent. Evidence of reduced emergency or urgent care use was limited. Figure 1 displays study counts, not pooled effects. This supports testing more responsive scheduling while withholding claims that it will reliably reduce hospital demand.

Our proposed primary care design begins with measuring requests by day, urgency, visit type, and the work required to resolve them. The team then adjusts appointment templates, planned follow-up, same-day capacity, and coverage for absences. The appropriate mix will differ by panel complexity and staffing. Holding every slot until the day of service can disadvantage patients who need transportation, interpreters, or time away from work. Planned chronic care and surveillance must remain bookable.

Continuity deserves a separate measure. Engström et al. (2025) found that higher personal continuity in general practice was associated with better outcomes, including lower mortality and hospital use; observational evidence leaves residual confounding possible. The model therefore offers a patient’s usual clinician or established team where appropriate and records when the patient chooses a faster alternative. A short wait should not automatically outweigh a clinically valuable ongoing relationship.

A protected daily review of unresolved requests can identify patients whose condition has changed or whose original route failed. Team-based work should follow clinical scope, competency, and escalation arrangements. Leaders should fund the time required for telephone review, electronic advice, and coordination. Otherwise, reducing the visible appointment queue may move unfinished work into clinician inboxes.

Electronic consultation can provide specialist advice without requiring every question to become an in-person visit. Peeters et al. (2024) reviewed 72 studies and found promising access results, but substantial heterogeneity and low or very low certainty limited conclusions about effect size. Advice turnaround and the waiting time for an in-person visit are different outcomes. Both must be measured when a pathway uses electronic consultation.

In a cluster-randomized cardiology study, Olayiwola et al. (2016) reported median consultation times of 5 days for patients using electronic consultation, 29 days for intervention patients taking a traditional referral route, and 24 days in the control group. These pathway-specific figures do not mean that all specialist appointments became 19 days faster. The operational lesson is to identify which questions advice can answer and which still require examination, testing, or a procedure.

The proposed model requires a referral to state the clinical question, relevant findings, urgency, and information needed for safe review. Receiving teams acknowledge acceptance or return a specific request for clarification. The sending team retains coordination responsibility until acceptance is confirmed. Clinical responsibility follows the actual care arrangement and must be explicit; a scheduling status alone cannot transfer it. Missing information should trigger assistance and clarification rather than an unexplained rejection that restarts the patient’s wait.

Patel et al. (2018) examined referrals from a large primary care network to 20 specialties and identified gaps involving scheduling, clinic variation, waiting time, and geographic access. The single-system, historical study supports examining the entire referral process but should not be treated as a current national failure rate. In the proposed model, receipt of a specialist note is only one checkpoint. The referring team must review the recommendation, communicate the next step, and confirm that necessary downstream actions are assigned.

Practical options include specialty triage sessions, agreed consultation criteria, pooled appointments within clinically interchangeable services, reserved urgent capacity, and direct communication when a referral cannot be accommodated. Pooled scheduling must respect patient preference, continuity, accessibility, and insurance participation. Electronic advice is not an obligatory gate for all referrals. It should not delay an examination when the referring or reviewing clinician considers one necessary.

Specialty capacity should be counted in clinical work units that reflect complexity and modality. A five-minute advice response and a complex new-patient visit are not interchangeable slots. Protected specialist advice time, primary care follow-up time, interpretation, and navigation all require resources. The model tracks rework and repeat referrals so apparent referral avoidance isn't mistaken for successful care when patients return with the same unresolved need.

Hospital access includes emergency assessment, accepted admission, initiation of inpatient management, transfer when needed, and a safe transition out of hospital. Janke et al. (2026) identified substantial variation in the time from an admission decision to inpatient management across 56 hospitals. The study distinguishes clinical handoff from physical movement to a bed. It supports measuring both intervals and clarifying which team is responsible while a patient boards in the emergency department.

The proposed model uses an explicit receiving clinician or team, a documented handoff, medication and monitoring responsibilities, and an escalation route for deterioration. Hospital operations should review staffed beds, diagnostic and procedural bottlenecks, discharge needs, and postacute availability together. Do not shorten the emergency department queue through unsafe discharges or inappropriate transfer denials. Local investigations should examine safety outcomes and patients whose transfer requests were not accepted.

Discharge planning is also an access intervention. Gonçalves-Bradley et al. (2022) found modest benefits from individualized planning, with moderate-certainty evidence for length of stay and readmission outcomes in predominantly older medical patients. Figure 2 presents the estimates with their confidence intervals. The findings do not establish cost savings or justify a uniform earlier-discharge target.

Before departure, the next team should receive an actionable plan, pending-result responsibilities, medication information, and the intended follow-up timeframe. Patients should know who will contact them and what to do if that contact fails. The model verifies completion of the next clinically indicated step. An appointment printed on discharge instructions remains an uncompleted task until the patient can use it and the receiving service confirms what occurred.

Authorization, affordability, transportation, language, disability access, and digital requirements can interrupt every stage. Murphy et al. (2026) reviewed evidence linking prior authorization with delays and adverse outcomes, while acknowledging that the available studies cannot quantify total attributable harm. These barriers belong in the same episode record as clinical and scheduling events. A faster insurer decision is useful only if the remaining pathway delivers appropriate care.

Workflow redesign can help. W. C. Chen et al. (2025) associated clinically integrated authorization processes in radiation oncology with fewer denials and shorter decision times. This nonrandomized, setting-specific result supports testing better information flow; it does not establish that technology can remove all utilization-management barriers. Local analysis should separate time awaiting a payer decision from delays in submission, missing records, and appointment availability.

Language access must begin before an account is created. D. W. Chen et al. (2025) found gaps in the language accessibility of hospital portal login pages. The study did not evaluate all portal functions. The model maintains assisted telephone and in-person routes, records communication needs, and checks whether the patient understood the plan. Digital participation should be a choice that facilitates care rather than a condition for entering the pathway.

Navigation offers a practical way to address repeated barriers. M. Chen et al. (2024) reviewed 59 articles on cancer treatment navigation and found generally favorable results across several access and experience outcomes, with variation in programs and study designs. Applying those findings to all specialties requires testing. The proposed model targets additional navigation based on clinical and access risk while providing a basic level of assistance to every patient.

Hospital-at-home services may expand options for selected patients. Vakkalanka et al. (2026) reported favorable short-term associations in a matched Medicare comparison, but patient selection and unmeasured differences constrain causal interpretation. In this model, home hospitalization requires clinical suitability, patient agreement, appropriate support, and an escalation plan. Review eligibility, acceptance, refusal, and exclusion reasons for inequity rather than assuming every home can safely support hospital-level care.

The model does not assign blame to patients when care is missed. It distinguishes informed refusal, inability to contact, unaffordable care, transportation failure, clinical redirection, and a service cancellation. Staff document attempts and the remaining safety concern. Clinical staff review unresolved requests before administrative closure. Patients retain the right to decline care, and successful outreach does not mean pressuring them to accept a service.

Waiting lists grow when incoming work exceeds completed work over time. The basic accounting identity is that the next backlog equals the current backlog plus new eligible requests, less completed care and separately documented other dispositions. For illustration only, 120 new requests and 100 completed episodes each week would add 80 unresolved episodes over four weeks if no other dispositions occurred. This example is arithmetic, not a forecast or an estimate from the literature.

A capacity review should distinguish nominal slots from usable capacity. Staffing, visit length, room availability, required testing, and patient preparation determine whether a slot can meet a particular clinical need. Review repeat contacts, returned referrals, avoidable rebooking, and canceled sessions before interpreting demand as entirely new work. Some improvements will require additional clinical capacity, extended coverage, or external partnerships; make those requirements explicit rather than absorbing them as unpaid work.

The access council should include executive operations, primary care, specialty care, hospital medicine, nursing, scheduling, revenue cycle, quality, analytics, and patient representation. Its role is to resolve conflicts that individual departments cannot settle. It approves measure definitions and capacity decisions, reviews safety signals, and assigns responsibility for failed handoffs. An operational huddle can address today’s unresolved work; a monthly review examines recurring causes and resource needs.

Avoid a single composite access score in the first version. A weighted index can make deterioration in one service disappear behind improvement in another. Present the core measures together, retain service-specific detail, and compare like urgency categories. Equity review should examine both unadjusted experience and clinically comparable groups. Statistical adjustment should clarify case mix without hiding structural disadvantage.

The business case should include navigation, clinical triage, specialist advice, interpreter services, data maintenance, patient travel, and the burden placed on families. Separate cash expenditure, staff time released, usable clinical capacity, and potential avoided utilization. Time released becomes capacity only if it can be deployed to needed work. Projected savings from reduced admissions should remain scenarios until measured with an appropriate comparison and attention to changes in demand.

Department incentives also matter. An intervention that improves referral completion can initially increase specialty demand, exposing previously unmet need. That is not necessarily failure. The evaluation should ask whether appropriate care became more timely and whether the organization added the capacity needed to sustain that improvement. Payment and productivity arrangements should recognize clinically useful work beyond face-to-face visits without rewarding avoidance of necessary care.