Understanding and Optimising the Acute Patient Pathway

Why this topic matters

For NHS organisations, an inefficient acute patient pathway translates directly into pressures on emergency departments, elective waiting lists, and bed capacity. Patients experience delays, sometimes in pain or discomfort, which can worsen outcomes and reduce satisfaction. Staff morale can suffer due to relentless operational strain. Financially, prolonged lengths of stay for patients who could be receiving care in a more appropriate setting represent a significant cost.

Conversely, a well-optimised acute pathway ensures patients receive timely, appropriate care in the right place, leading to better clinical outcomes, improved patient experience, and a more sustainable working environment for staff. It supports the system-wide goals of reducing waiting times, increasing capacity, and delivering value for taxpayers.

Practical explanation: Mapping the Pathway

The acute patient pathway is not a single, linear process but a series of interconnected stages, often with multiple potential routes depending on the patient's condition and needs. A typical pathway can be broken down into these key phases:

1. Arrival and initial assessment: This usually begins in the Emergency Department (ED) but can include direct admissions from primary care or transfers from other hospitals. Key activities include triage, initial clinical assessment, and diagnostic tests.
2. Admission decision and bed allocation: Following initial assessment, a decision is made regarding the need for inpatient admission. This phase can be a significant bottleneck due to bed availability, ward specialisation, and staffing levels.
3. Inpatient care and diagnostics: Once admitted, patients undergo further diagnostic investigations, specialist reviews, and active treatment. This includes ward rounds, medication administration, and monitoring. Coordination between specialties is vital.
4. Treatment progression and discharge planning: As the patient's condition stabilises and improves, the focus shifts to preparing for discharge. This is not a last-minute activity but an ongoing process from admission, involving multi-disciplinary team (MDT) discussions, assessment of ongoing care needs, and liaison with community services.
5. Discharge or transfer: This final stage involves the physical departure of the patient from the acute hospital. It requires coordination of transport, medication, follow-up appointments, and communication with receiving care providers (e.g., home care, community hospitals, rehabilitation units).

Key elements influencing pathway efficiency:

• Multi-disciplinary team (MDT) working: Effective communication and collaboration between doctors, nurses, allied health professionals, social workers, and administrative staff are paramount.
• Early discharge planning: Initiating discharge planning on admission ensures a proactive approach to identifying and addressing potential barriers to discharge.
• Access to diagnostics and speciality input: Delays in obtaining scans, lab results, or specialist reviews can significantly prolong hospital stays.
• Patient flow management: Real-time visibility of bed availability, patient status, and upcoming discharges is crucial for efficient movement.
• Community and social care interfaces: Seamless transitions to post-acute care settings depend heavily on strong integration and communication with community services.

Common pitfalls

Several common issues undermine the efficiency of acute patient pathways within the NHS:

• Delayed discharges (DToC): Patients medically fit for discharge but awaiting social care packages, community beds, or transport. This is a persistent and significant issue.
• "Boarding" in ED: Patients awaiting an inpatient bed remaining in the emergency department for extended periods, impacting ED capacity and patient experience.
• Siloed working: Lack of coordinated efforts between different specialties, departments, or between acute and community settings, leading to communication breakdowns and duplicated efforts.
• Lack of real-time data: Limited visibility of bed availability, patient location, and status impedes efficient decision-making and patient placement.
• Ineffective MDT communication: Poorly structured or infrequent ward rounds and MDT meetings can delay key decisions about care progression and discharge.
• "Weekend effect" and out-of-hours service gaps: Reduced diagnostic and specialist availability over weekends and out-of-hours can slow patient progression.
• Inadequate resourcing for discharge coordination: Understaffed discharge teams or lack of dedicated roles can hinder effective planning and execution of discharges.

Step-by-step approach to pathway optimisation

Optimising an acute patient pathway requires a systematic approach, often framed within a Quality Improvement (QI) methodology. Local audit and governance processes should always be followed.

1. Define and scope the pathway: Clearly identify the start and end points of the pathway you wish to improve. For example, 'ED arrival to discharge for patients admitted with cellulitis'.
2. Map the current state (Value Stream Mapping): Engage all relevant stakeholders (clinical, operational, administrative leads) to map out the actual steps patients take, including decision points, handovers, delays, and resources used. Identify where 'value' is added for the patient and where 'waste' occurs.
3. Identify bottlenecks and pain points: Analyse the current state map for areas where patients wait, where processes break down, or where communication is poor. Use data where available (e.g., length of stay by ward, time to first consultant review, DToC reasons).
4. Set clear aims and measures: Formulate SMART (Specific, Measurable, Achievable, Relevant, Time-bound) aims for your improvement project. Define process and outcome measures to track progress (e.g., 'Reduce average length of stay for cellulitis patients by 1 day within 6 months').
5. Brainstorm and design improvements: Based on identified bottlenecks, develop potential solutions. Consider small, iterative changes (PDSA cycles) rather than large, complex overhauls. Think about:
   • Standardisation: Developing clear protocols or care bundles.
   • Communication: Improving handover tools or MDT meeting structure.
   • Technology: Exploring digital solutions for tracking or communication.
   • Roles and responsibilities: Clarifying who does what and when.
   • External interfaces: Strengthening links with community partners.
6. Implement and test (PDSA cycles): Trial proposed changes on a small scale, collect data, analyse results, and refine the changes. Learn from failures and adapt.
7. Sustain and spread: Once improvements are demonstrated, embed them into routine practice, develop training, and consider rolling out to other areas. Monitor long-term impact.

This resource supports, but does not replace, clinical judgement. Local policy, formulary and specialist advice should be followed.

Example in clinical practice: Enhancing frailty pathway

Consider a trust experiencing significant ED overcrowding and prolonged inpatient stays for elderly patients presenting with frailty. A QI team decides to focus on the acute frailty pathway from ED arrival to discharge.

Current State Mapping: They map the journey and find patients often wait hours in ED for a medical bed, then once on a ward, delays occur with comprehensive geriatric assessment (CGA), social worker input, and securing appropriate discharge destinations.

Bottlenecks: Key bottlenecks include late identification of frailty in ED, lack of early access to specialist geriatric input, and fragmented discharge planning.

Interventions: The team implements several interventions:

• Early Frailty Screening: Introducing a simple screening tool in ED via the nursing assessment to rapidly identify patients suitable for an acute frailty unit (AFU) or early geriatric review.
• Dedicated Frailty Team: Establishing a dedicated MDT (geriatrician, specialist nurse, physiotherapist, occupational therapist, social worker) co-located on an AFU with direct ED admission rights.
• Integrated Discharge Hub: Creating a 'virtual ward' style hub linking the AFU MDT directly with community frailty teams and social care provision to expedite discharge planning and execution.

Outcomes: After 12 months, the trust observes a reduction in ED length of stay for frail patients, a decrease in overall inpatient length of stay, and an increase in discharges to patients' usual place of residence. Staff feedback indicates improved morale due to more coordinated care.

How Lazomis can help

Lazomis provides tools that can significantly streamline the process of understanding and optimising acute patient pathways:

• QI Project Setup & Management: Structure your pathway improvement projects effectively, from defining aims to tracking progress.
• Data Collection & Analysis: Easily collect and visualise data related to process times, patient flow, and key performance indicators at various stages of the pathway. Identify where delays occur and test the impact of your interventions.
• Outcome Measurement: Track improvements in metrics such as length of stay, discharge readiness, and patient experience to demonstrate the effectiveness of your changes.
• Reporting & Dissemination: Generate clear reports and presentations to share findings with stakeholders, support business cases for further resources, or disseminate successful practices across your organisation.

By centralising your QI efforts and data, Lazomis empowers teams to move from identifying problems to implementing evidence-based solutions with greater efficiency and oversight.