Unlocking Hidden Capacity for Waiting List Recovery in the NHS

Why this topic matters

The NHS faces unprecedented waiting list pressures, exacerbated by the pandemic and long-standing systemic challenges. Prolonged waiting times not only impact patient outcomes and experience but also lead to clinician burnout and moral injury. Relying solely on external funding or new builds is often unsustainable or slow to materialise. Instead, a robust strategy for waiting list recovery must include a meticulous examination of internal processes to identify and leverage existing, but often overlooked, capacity.

Every clinical department, whether inpatient, outpatient, diagnostics, or theatre, likely has inefficiencies or under-optimised resources. These might be related to appointment scheduling, clinic room utilisation, equipment downtime, staff skill mix, or patient flow bottlenecks. Addressing these can free up significant capacity, directly contributing to clearing backlogs and improving patient access.

Practical explanation: What is hidden capacity?

Hidden capacity refers to the available, but currently unutilised or sub-optimally utilised, resources within an existing healthcare system that could be re-deployed to increase service delivery. It's not about finding extra staff or equipment out of thin air, but rather optimising the use of what you already have. This can manifest in several ways:

• Process inefficiencies: Delays in patient pathways (e.g., referral to treatment, diagnostic reporting), unnecessary steps, or redundant administrative tasks that consume valuable clinical time.
• Resource under-utilisation: Empty clinic slots, under-used theatre time, equipment downtime, or uneven distribution of workload among staff.
• Skill mix optimisation: Not always deploying the right professional at the right time (e.g., a consultant performing tasks that an advanced clinical practitioner or nurse could manage).
• Information flow: Poor communication or inaccessible data leading to duplicated efforts, delays, or inappropriate referrals.
• Variation in practice: Unwarranted variation in clinical pathways or administrative processes that create bottlenecks or reduce throughput in some areas.

Identifying hidden capacity requires a systematic, data-driven approach, moving beyond anecdotal observations to quantify where time, resources, and clinical expertise are not being used to their full potential.

Common pitfalls

Identifying and acting on hidden capacity comes with several common challenges that NHS teams should be aware of:

• Resistance to change: Staff may be accustomed to current ways of working, perceiving suggested changes as additional burden rather than efficiency. Effective communication and involvement are crucial.
• Focusing solely on 'quick wins': While low-hanging fruit can build momentum, sustainable recovery requires addressing deeper systemic issues, which may take longer and require more significant process redesign.
• Lack of robust data: Without clear data on activity, waiting lists, resource utilisation, and patient pathways, it's difficult to accurately identify bottlenecks or measure the impact of interventions.
• Fragmented efforts: Individual departments or teams working in silos may improve their own processes but inadvertently shift bottlenecks elsewhere in the patient pathway.
• Underestimating complexity: Simple solutions often fail to account for the interconnectedness of NHS systems, leading to unintended consequences or the re-emergence of problems.
• Burnout and goodwill depletion: Asking staff to 'do more with less' without addressing root causes of inefficiency or improving working conditions can lead to further burnout and resistance.

Step-by-step approach: Unlocking hidden capacity

This framework outlines a structured approach to identifying and utilising hidden capacity for waiting list recovery.

1. Define the scope and establish baseline data

• Identify the specific waiting list/service: Which service or patient pathway is the priority? (e.g., ophthalmology outpatients, orthopaedic theatres, diagnostic endoscopy). Be specific.
• Quantify the problem: What is the current waiting list size, median waiting time, and target? What are the key bottlenecks identified by staff and data?
• Collect baseline data: Gather data on activity (e.g., number of appointments, procedures), resource utilisation (e.g., clinic room occupancy, theatre turnover time), staff availability, and patient flow times (e.g., referral to first appointment). This might involve existing PAS/EPR data, local audit data, or specific data collection for the project.

2. Map the current patient pathway and resource flow

• Process mapping/Value Stream Mapping: Engage frontline staff to map out the entire patient journey from referral to discharge for the chosen service. Identify every step, decision point, and handoff. Use techniques like swim-lane diagrams to visualise responsibilities.
• Identify pinch points and waste: Within the mapped process, collaboratively identify areas of delay, duplication, unnecessary steps, rework, and under-utilised resources. Look for 'non-value added' activities (e.g., excessive administrative tasks, waiting times for results).
• Quantify potential: Estimate the time or resource saving that could be achieved if these inefficiencies were removed. For example, if theatre turnaround time could be reduced by 15 minutes, how many extra cases could be done per session?

3. Generate and prioritise improvement interventions

• Brainstorm solutions: Involve all relevant stakeholders – clinicians, nurses, allied health professionals, administrative staff, operational managers, and even patients – to generate ideas for addressing identified pinch points. Think broadly about technology, process change, skill mix, and patient education.
• Categorise interventions: Group ideas into themes (e.g., scheduling optimisation, pathway redesign, digital solutions, staff training).
• Prioritise based on impact and feasibility: Use a matrix to assess potential impact on waiting lists vs. ease of implementation. Focus on interventions that offer a high impact with reasonable feasibility. Consider 'quick wins' alongside more complex, systemic changes.

4. Implement, monitor, and adapt

• Pilot changes: Start with small-scale pilots (e.g., one clinic, one theatre list) to test interventions and learn. This reduces risk and allows for rapid iteration.
• Monitor key metrics: Continuously track the baseline data defined in step 1, alongside new metrics relevant to the intervention (e.g., clinic utilisation rates, average length of stay, specific waiting list metrics). This allows for objective assessment of impact.
• Communicate and engage: Regularly update staff on progress, celebrate successes, and address concerns. Maintain transparency about the goals and benefits.
• Iterate and scale: Based on monitoring data and feedback, refine interventions. Once successful, plan for wider rollout, ensuring lessons learned are integrated.

5. Sustain and embed improvements

• Standardise new processes: Document new, efficient workflows and embed them into routine practice. Consider updating local policies or standard operating procedures.
• Ongoing audit and review: Establish regular audit cycles to ensure improvements are sustained and to identify new areas for optimisation. This might involve clinical audit or QI dashboards.
• Culture of continuous improvement: Foster an organisational culture where staff are empowered to identify inefficiencies and suggest improvements as part of their everyday work. This supports ongoing hidden capacity identification.

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

Example in clinical practice: Optimising Theatre Utilisation

An elective orthopaedic department was struggling with a significant waiting list for hip and knee replacements. Initial analysis of theatre data showed that while the theatre was booked for 8 hours daily, the actual 'knife-to-skin' time averaged only 5.5 hours. The remaining 2.5 hours were attributed to patient transfer, anaesthetic induction/wake-up, and, crucially, turnaround time between cases.

Applying the framework:

1. Scope & Baseline: Orthopaedic elective waiting list. Baseline: 1800 patients, median wait 60 weeks. Theatre utilisation: 68.75% (5.5 hrs/8 hrs).
2. Pathway Mapping & Pinch Points: Process mapping revealed significant variation in theatre turnaround times (average 45 minutes, range 30-75 minutes) due to inconsistent cleaning protocols, delayed patient transfer from recovery, and missing equipment/implants for the next case. Consultant-led theatre lists often had a fixed number of cases, regardless of their complexity.
3. Interventions:
   • Standardised Turnaround Protocol: Developed a detailed checklist for theatre staff, porters, and anaesthetics to ensure smooth, rapid transitions.
   • Dedicated Turnaround Team: Piloted a small, dedicated team responsible for post-op cleaning and setting up the next case.
   • Pre-theatre Briefing: Implemented a daily 'huddle' involving surgeons, anaesthetists, ODPs, and nurses to review the list, anticipate issues, and confirm equipment availability.
   • Flexible Listing: Introduced more flexible theatre listing templates, allowing for shorter, less complex cases to be inserted if a previous case finished early, or longer cases to be batched.
   • Skill Mix: Explored opportunities for ACPs to assist in certain surgical tasks or pre-assessment clinics to free up consultant time.
4. Implementation & Monitoring: The standardised protocol and dedicated team were piloted for 6 weeks. Turnaround time was reduced to an average of 30 minutes. This saved approximately 30 minutes per operating day, equating to one extra short-to-medium case per week, or potentially 2-3 extra major cases per fortnight. Staff feedback on the pre-theatre huddle was positive, improving communication and reducing last-minute issues.
5. Sustain & Embed: The new protocol was embedded. Regular audits of turnaround time were scheduled. The flexible listing approach was rolled out across all orthopaedic theatres. The potential capacity released was cautiously estimated at 10-15% increase in surgical throughput. Not all recovered capacity is cash-releasing, but it offers a significant opportunity to reduce the waiting list and improve patient flow. Local validation is required for specific outcomes.

How Lazomis can help

Lazomis provides a suite of tools that can significantly support NHS teams in identifying and leveraging hidden capacity:

• Lazomis QI Project Setup: Provides structured templates to define project scope, objectives, and key metrics for hidden capacity projects, ensuring a systematic approach.
• Lazomis Dashboards: Integrates with existing NHS data sources (where available and with appropriate IG approval) to visualise key performance indicators related to waiting lists, activity, and resource utilisation. This can help pinpoint bottlenecks and monitor the impact of interventions in real-time.
• Lazomis Audit Tool: Facilitates the collection of specific audit data to understand process variations, resource utilisation (e.g., theatre turnaround times), and compliance with new protocols. This is invaluable for baseline assessment and ongoing monitoring.
• Lazomis Process Mapping & Workflow Designer: Offers intuitive tools to map current patient pathways and design optimised future state processes, helping teams visualise inefficiencies and plan interventions. This supports collaborative working across multidisciplinary teams.

By providing a structured environment for project management, data analysis, and process design, Lazomis helps teams move from anecdotal observations to evidence-based improvements, ensuring that hidden capacity initiatives are robust, measurable, and sustainable.

Key takeaways

• Hidden capacity refers to under-utilised resources and inefficiencies within existing NHS systems that can be leveraged for waiting list recovery.
• A systematic, data-driven approach is essential, involving defining scope, mapping pathways, identifying pinch points, and quantifying potential gains.
• Engaging frontline staff and stakeholders throughout the process is critical for identifying effective solutions and ensuring successful implementation.
• Prioritise interventions based on a balance of potential impact on waiting lists and feasibility of implementation.
• Continuous monitoring, auditing, and embedding new processes are vital to sustain improvements and foster a culture of continuous optimisation.