Patient Flow Fundamentals: Optimising Care Pathways in the NHS

Introduction

Optimising patient flow is a continuous endeavour within the NHS, aiming to ensure patients move through the healthcare system as efficiently and effectively as possible, from initial access to discharge and follow-up care. A well-managed patient flow system reduces waiting times, enhances patient safety, improves their overall experience, and allows healthcare professionals to work more effectively.

This guide will define core concepts, highlight the importance of multidisciplinary collaboration, and discuss practical frameworks that can be applied to improve patient journeys across various settings.

Why this topic matters

The efficient movement of patients through an NHS organisation and across care interfaces is intrinsically linked to myriad critical outcomes. Poor patient flow manifests as corridor waits, delayed discharges, long elective waiting lists, and unsustainable pressures on emergency departments. These issues not only create significant stress for patients and their families but also contribute to clinician burnout, suboptimal use of costly resources, and, in some cases, adverse clinical outcomes.

National initiatives such as the Elective Recovery Programme and specific targets for Emergency Department four-hour waits underscore the strategic importance of improving patient flow. Addressing flow challenges is not merely an operational task; it is a clinical governance imperative that impacts patient safety, staff wellbeing, and the financial health of trusts and integrated care systems (ICSs).

Practical explanation

Patient flow refers to the journey a patient takes through the healthcare system. It encompasses admission, diagnosis, treatment, discharge, and subsequent community care. Understanding patient flow requires an appreciation of several core concepts:

• Capacity: The maximum amount of work that can be done within a given time. This includes beds, staffing, theatre slots, diagnostic availability, and clinic appointments.
• Demand: The number of patients requiring care or a specific service. Demand is often variable and can be predictable (e.g., elective clinics) or unpredictable (e.g., emergency admissions).
• Variability: The natural fluctuations in demand and capacity. Managing variability is crucial for maintaining flow.
• Bottlenecks: Points in the system where patient movement is impeded, creating queues and delays. Identifying and addressing bottlenecks is a primary focus of flow improvement.
• Queues: Patients waiting for the next stage of their care pathway due to a bottleneck.
• Length of Stay (LoS): The duration a patient spends in a particular care setting, often an inpatient ward. Reducing inappropriate LoS is a key flow objective.
• Discharge planning: The proactive process of preparing a patient for departure from hospital, ensuring they have appropriate care and support in place.

Efficient flow hinges on matching capacity to demand, understanding and managing variability, and proactively addressing bottlenecks. It's a system-wide challenge, not confined to one department.

Common pitfalls

Improving patient flow is not without its difficulties. Common pitfalls include:

• Siloed thinking: Departments working in isolation without understanding their impact on the wider patient journey. This often leads to 'optimising the part at the expense of the whole'.
• Focusing solely on inputs or outputs: Forgetting the process in between. For example, simply increasing beds without improving discharge processes will not solve inpatient flow issues.
• Ignoring variability: Not planning for peaks and troughs in demand, leading to periods of overwhelmed capacity and underutilised resources.
• Lack of data and measurement: Without reliable data, it's difficult to accurately identify bottlenecks, measure improvement, or sustain changes.
• Top-down imposition of solutions: Solutions dictated without input from frontline staff often lack practical applicability and staff buy-in.
• Reactive rather than proactive management: Constantly responding to crises (e.g., bed shortages) instead of anticipating and preventing them.
• Inadequate discharge planning: This is a perpetual challenge, leading to delays in freeing up beds and impacting patient experience.
• Blaming individuals: Shifting blame for system failures rather than addressing systemic issues and engaging staff in problem-solving.

Step-by-step approach or practical framework

Improving patient flow often benefits from a structured, quality improvement (QI) methodology. Here’s a pragmatic framework:

1. Define the Problem and Scope: Clearly identify which patient pathway or flow issue you are trying to improve. Use data to quantify the problem (e.g., average waiting times, LoS, number of delayed discharges). Define the start and end points of the flow you wish to analyse.

2. Map the Current State (Process Mapping): Engage staff involved in the pathway to visually map out every step a patient takes. Identify all decision points, handovers, delays, and resources used. This 'value stream mapping' can uncover hidden bottlenecks and waste.

3. Analyse and Identify Bottlenecks: Using the process map and relevant data (e.g., patient tracking systems, discharge readiness data), pinpoint the specific stages where delays occur most frequently or for the longest duration. Look for queues forming, inconsistent processes, and areas of high variability.

4. Develop Solutions and Future State Design: Brainstorm potential interventions. Consider strategies such as:

   • Level loading: Smoothing demand where possible (e.g., scheduling elective work more consistently).
   • Managing variability: Building in buffer capacity or flexible staffing.
   • Proactive discharge planning: Starting discharge conversations on admission.
   • Standardising pathways: Reducing variation in care where clinically appropriate.
   • Technology integration: Using digital tools for patient tracking, bed management, or remote monitoring to support early discharge.
   • Multidisciplinary team (MDT) collaboration: Enhancing communication and decision-making across teams and between hospital and community settings.
   • Maximising 'pull' rather than 'push': Ensuring the next stage of the pathway is ready before the patient is moved.

5. Implement and Test Changes (PDSA Cycles): Start with small-scale tests of change using Plan-Do-Study-Act (PDSA) cycles. This allows for learning and adaptation without widespread risk. Focus on a specific ward, clinic, or day.

6. Measure and Evaluate: Continuously monitor key metrics to assess the impact of your changes. Are waiting times reducing? Is LoS decreasing appropriately? Is patient experience improving? Be prepared to adapt or abandon interventions that aren't working.

7. Sustain and Spread: Once improvements are demonstrated and robust, embed them into routine practice, develop standard operating procedures, and explore opportunities to spread successful interventions to other areas.

Example in clinical practice

Consider an Acute Medical Unit (AMU) frequently experiencing high occupancy and delayed transfers to downstream wards, leading to ambulance queues and ED overcrowding. Following the framework:

1. Define the Problem: The average daily occupancy of the AMU regularly exceeds 100%, and the mean time from consultant decision-to-admit to a ward bed is 6 hours, contributing to ED four-hour breaches. The scope is inpatient flow from ED into and through the AMU.

2. Map Current State: A multidisciplinary team (MDT) including ED clinicians, AMU nurses, ward managers, therapists, and discharge coordinators maps the patient journey from ED arrival to transfer out of AMU. They identify delays in diagnostic reporting, slow consultant reviews, and, crucially, a lack of available beds on speciality wards.

3. Analyse and Identify Bottlenecks: The primary bottleneck is identified as a lack of timely discharge from downstream wards, causing a 'queue' for AMU beds. Secondary bottlenecks include slow access to geriatrician reviews for older, frail patients and inconsistent early therapy input.

4. Develop Solutions: The team proposes several interventions:

   • Daily 'Board Rounds': Introduce a daily, protected MDT board round on all acute wards focusing solely on anticipated discharges for the next 48-72 hours, with clear actions and accountability.
   • 'Discharge to Assess' pathways: Implement a rapid assessment pathway to safely discharge appropriate patients home with community support, pending further assessment.
   • Enhanced Geriatrician input: Increase dedicated geriatrician time for early review of frail patients on AMU.
   • Therapy 'Frontloading': Introduce earlier therapy assessments in ED for patients likely to need rehabilitation.

5. Implement and Test (PDSA): They pilot the new daily board round on two wards for two weeks, closely monitoring the number of same-day discharges and next-day anticipated discharges.

6. Measure and Evaluate: After two weeks, both pilot wards show a 15% increase in same-day discharges compared to the previous month. Data from the AMU also suggests a slight reduction in delayed transfers from ED. Positive feedback is received from nursing staff about improved clarity on discharge planning.

7. Sustain and Spread: The daily board round is rolled out to all acute wards, with continued monitoring. The 'Discharge to Assess' pathway is developed collaboratively with community teams and piloted, aiming to further reduce LoS for specific patient groups.

This iterative approach helps to refine interventions and gradually build a more efficient system.

How Lazomis can help

Lazomis provides a suite of tools designed to support NHS teams in understanding, visualising, and improving patient flow. Our platform can facilitate:

• Process Mapping and Visualisation: Digitize your current state maps and create future state designs, making it easier to identify and share bottlenecks.
• Data Integration and Dashboards: Connect to existing NHS data sources (where integrations are possible and approved) to create custom dashboards that monitor key patient flow metrics in real-time or near real-time, such as LoS, bed occupancy, and discharge readiness.
• QI Project Management: Structure your patient flow improvement initiatives using our QI framework templates, track PDSA cycles, and manage tasks across your multidisciplinary team.
• Communication and Collaboration: Centralise project documents, share insights, and facilitate discussions among team members involved in flow improvement.

By providing a centralised, intuitive platform, Lazomis can help teams move from identifying problems to implementing and sustaining effective solutions, enabling a data-driven approach to patient flow optimisation. This resource supports, but does not replace, clinical judgement. Local policy, formulary and specialist advice should be followed.

Key takeaways