Patient Flow and Waiting-Time Redesign
A patient may wait because a clinical observation must finish, a diagnostic result is unavailable, a bed has not been released or the next team has not accepted responsibility. The elapsed time looks similar in a report, but each cause requires a different response.
Patient-flow redesign must therefore follow complete care pathways. Marketways connects pathway events, clinical context, resources and handoffs to show where patients wait, why the delay occurs and whether a proposed change improves the complete journey. Clinical leaders determine which intervals protect care and which represent avoidable delay.
Separate necessary care from avoidable delay
A waiting-time measure records elapsed time between two events. However, it does not establish what happened during that interval. A patient may have received necessary observation, waited for a result or remained ready while an administrative dependency was unresolved.
Marketways defines the start, completion and intervening events for each pathway stage. We then separate active care, clinically required observation, coordination time and avoidable waiting. This distinction prevents management from treating every long interval as the same operational failure.
The classification requires clinical review. An analytical model can locate unusual intervals and recurring patterns, but qualified professionals must determine whether a particular delay was clinically appropriate.
Reconstruct the complete pathway before diagnosing a bottleneck
Departmental reports divide a patient journey according to organisational boundaries. A patient does not experience those boundaries. The patient experiences one sequence of referrals, assessments, investigations, treatment decisions, transfers and discharge arrangements.
Marketways reconstructs that sequence from event records. A reliable event log needs a case identifier, a defined activity, a timestamp and enough context to distinguish material pathway variants. We reconcile inconsistent names, duplicated events and missing timestamps before interpreting the result.
Process mining can then show which routes patients followed, where paths diverged and how long each transition took. Conformance analysis compares observed pathways with an agreed clinical or operating pathway. The comparison does not assume that every deviation is wrong. It identifies the deviations that require explanation.
Averages conceal the patients who need a different response
An average waiting time combines patients with different conditions, priorities and pathway requirements. Improvement against that average can therefore coexist with a longer wait for a clinically important group.
Marketways examines the distribution of waiting time and separates relevant patient groups. We test whether delay varies by pathway, acuity, referral route, time, location or another justified characteristic. The purpose is to identify a mechanism, not to produce arbitrary segments.
This analysis also protects against an apparently successful redesign. If a change improves the average by accelerating simple cases while complex cases wait longer, management needs to see both effects before accepting the result.
Queue formation depends on variation as well as average capacity
A service can have enough capacity for its average demand and still develop recurring queues. Arrivals vary by time, cases require different amounts of attention and resources may become available in batches. High utilisation leaves little spare capacity to absorb that variation.
Queueing analysis tests how arrival patterns, service-time distributions, priorities and available resources create waiting. Discrete-event simulation extends the analysis when patients move through several dependent stages. Management can compare changes to schedules, staffing, batching, diagnostic access and discharge coordination before altering the live pathway.
The model must preserve clinical priority and realistic pathway choices. Treating every patient as an identical job may simplify the calculation, but it can produce an unsafe recommendation.
A local improvement can move the delay downstream
A department may reduce its recorded wait by transferring patients sooner or completing one task in larger batches. However, the next department may receive a less predictable workload or an incomplete handoff. The local measure improves while the complete patient journey becomes slower or less reliable.
Marketways traces each proposed change through the connected pathway. We examine whether faster completion in one stage changes waiting, rework, cancellation or workload elsewhere. We also test whether a target encourages premature transfer, delayed recording or another response that changes the measure without resolving the cause.
This whole-pathway test distinguishes patient-flow redesign from isolated queue reduction. The objective is a safe and timely journey, not a better number for one unit.
Responsibility must continue across every handoff
Delay often persists because one team has finished its task while the next team has not yet accepted responsibility. The patient remains in the pathway, but no role owns the unresolved dependency.
Marketways maps the decision, evidence and accountable role at each handoff. We identify what must be complete before responsibility transfers, who resolves an exception and when a delay must be escalated. The redesign also defines how the receiving team confirms acceptance.
Clear ownership does more than accelerate routine cases. It prevents complex cases from disappearing between departmental measures and gives management a specific failure to correct.
Discharge delay begins before the discharge decision
A patient may be clinically ready to leave while medication, transport, community support or another dependency remains incomplete. Starting discharge coordination only after the clinical decision makes those dependencies sequential.
Marketways identifies which preparations can begin earlier and which depend on information that becomes available later. The redesigned pathway preserves clinical judgement while allowing authorised administrative tasks to proceed in parallel when the required evidence exists.
Earlier preparation does not mean discharging patients sooner regardless of need. The relevant measure is whether the organisation completes a clinically appropriate discharge safely and without avoidable administrative delay.
Automation should resolve defined coordination gaps
Digital status boards and alerts can improve visibility. However, more notifications do not resolve a delay when the system cannot identify the responsible role, the missing condition or the authorised next action.
Once Marketways has defined those elements, a workflow can retrieve approved status data, request missing administrative information, prepare scheduling options and notify the accountable team. An Agentic AI workflow may coordinate several permitted steps when the pathway crosses systems and the response depends on context.
The workflow must not assign clinical priority, recommend treatment or approve discharge. It must stop and refer the case when an administrative request contains a clinical question, the evidence conflicts or its permissions do not cover the required action. Every consequential action and exception must remain traceable.
Test the redesign against complete patient and service outcomes
Shorter waiting time does not establish a successful redesign. A change may increase cancellations, repeated contact, readmission, staff workload or patient confusion.
Marketways defines a balanced evaluation before implementation. Relevant measures may include end-to-end time, stage-specific waiting, safe throughput, cancellation, length of stay, discharge delay, repeated contact, readmission and patient-reported experience. Staff overrides and informal corrections reveal whether the new pathway depends on effort that the formal process does not recognise.
We compare the revised pathway with a credible baseline and retain exception cases in the analysis. Those cases show whether the design remains dependable when the patient does not follow the most common route.
A surgical pathway shows why the constraint must be identified
Suppose a surgical service records delay in assessment, diagnostics, theatre and discharge. Management may initially add theatre capacity because the theatre appears to be the most visible constraint.
The reconstructed pathways may show that many patients cannot use the additional theatre time because diagnostic work remains incomplete. Other patients may complete surgery promptly but occupy beds while discharge support is arranged. The same visible queue therefore contains different mechanisms.
Marketways would quantify each mechanism, simulate coordinated changes and identify the accountable handoffs. The resulting redesign might combine earlier diagnostic preparation, a revised theatre schedule and parallel discharge coordination. Additional capacity would be recommended only where the evidence shows that capacity is the binding constraint.
How Marketways redesigns patient flow
Marketways maps complete patient pathways, separates necessary clinical time from avoidable delay and identifies the resources, dependencies and handoffs that create each queue. We use process mining, statistical analysis, queueing models and simulation where the question requires them. Clinical leaders provide the authority needed to interpret care decisions and safety boundaries.
The engagement may combine Process and Workflow Analysis and Redesign, Operational Performance Diagnostic and Process Mining. Management receives a defensible explanation of delay, tested redesign options, clear ownership and measures that show whether the complete pathway improved.
Related guides and evidence
References
- A systematic review of effective patient flow in public hospitals
- When patients get stuck: hospital-wide patient-process barriers
- Understanding the effects of health information systems on patient-flow management
- Process mining based on patient waiting time
- NHS England: urgent and emergency care acute patient flow
