Understanding NHS Productivity: A Guide for Clinical Leaders

Why this topic matters

The NHS faces persistent pressures, including an ageing population with complex comorbidities, rising expectations, and stretched budgets. Against this backdrop, optimising productivity is not just a financial imperative but a clinical one. It directly impacts waiting lists, access to diagnostics and treatments, staff morale, and ultimately, patient safety and experience. Every clinical decision, every process, and every resource allocation contributes to – or detracts from – overall productivity.

Improving productivity doesn't simply mean working faster; it means working smarter, eliminating waste, and focusing efforts on what delivers the most value for patients. Clinical leaders are uniquely positioned to identify areas for improvement within their own services, translate high-level organisational goals into meaningful local actions, and champion change.

Practical explanation: What is NHS Productivity?

At its core, productivity measures the efficiency with which inputs are converted into outputs. In the context of the NHS:

• Inputs typically include staff time (clinical and non-clinical), estates, equipment, medicines, and supplies.
• Outputs are usually defined as the volume of clinical activity or care delivered, such as outpatient attendances, surgical procedures, diagnostic tests performed, or bed days occupied.

NHS England's approach: The national approach often uses an aggregate measure focusing on activity outputs relative to resource inputs, adjusting for quality and complexity. For example, the NHS Productivity and Efficiency Programme outlines key drivers and metrics. It's important to recognise that national productivity figures are complex aggregations, and local departments will need to interpret them in their context.

Measuring Productivity Locally

While national figures provide a macro picture, day-to-day productivity improvements happen at the departmental or service level. Key metrics to consider include:

• Activity per WTE (Whole-Time Equivalent) Staff Member: How many consultations, procedures, or episodes of care are delivered per clinician or team member over a set period?
• Theatre Utilisation: Percentage of scheduled theatre time actually used for operative procedures.
• Outpatient Did Not Attends (DNAs): A high DNA rate represents wasted clinician time and clinic slots that could have been used by another patient.
• Length of Stay (LoS): Reducing unnecessary LoS through effective discharge planning and patient flow directly impacts bed availability and efficiency.
• Diagnostic Turnaround Times: Faster results can lead to quicker diagnoses and treatment escalation, improving patient flow.
• Resource Consumption per Patient Episode: For example, pharmaceutical waste, unnecessary investigations, or overstocking of consumables.

It’s crucial to understand that productivity is not solely about volume. Quality of care, patient outcomes, and staff wellbeing are integral components often captured under the umbrella of 'value'. Simply increasing activity without maintaining or improving quality would be a false economy.

Common pitfalls in addressing NHS productivity

Clinical leaders navigating productivity improvements often encounter several challenges:

• Focusing solely on cost-cutting: While cost control is part of the equation, a singular focus risks compromising quality, staff morale, and ultimately, patient care. Sustainable productivity is about value, not just cutting.
• Ignoring the 'why': Without understanding the root causes of inefficiency, interventions may be superficial and short-lived. For example, a long waiting list might be due to theatre capacity, but also due to sub-optimal scheduling processes, or lack of pre-assessment.
• Lack of clinical engagement: Productivity initiatives imposed top-down without clinical buy-in are unlikely to succeed. Engaging frontline staff in identifying problems and co-designing solutions is paramount.
• Inadequate data: Reliable data is essential for identifying bottlenecks, measuring impact, and demonstrating improvement. Without clear metrics, tracking progress becomes impossible.
• Siloed working: Many productivity challenges cut across departmental boundaries (e.g., patient flow from ED to wards, or discharge planning involving community teams). Solutions require cross-functional collaboration.
• Ignoring staff wellbeing: Burnout and low morale directly impact productivity. Sustainable improvements must consider and support the workforce.

Step-by-step approach to driving productivity improvements

A structured approach can help clinical leaders identify, implement, and sustain productivity gains.

1. Define the Scope and Goal

• Identify a specific problem area: Where are the biggest bottlenecks or areas of waste in your service? (e.g., long waits for a specific diagnostic test, high DNA rates in a clinic, inefficient theatre lists).
• Clearly define what 'improvement' looks like: Set measurable, achievable, relevant, and time-bound (SMART) goals (e.g., "Reduce DNA rate for [Clinic Type] from 15% to 10% within 6 months").

2. Understand the Current State (Diagnose)

• Map the process: Visually represent the current patient pathway or workflow. Identify all steps, handovers, delays, and decision points.
• Gather data: Collect relevant quantitative data (e.g., wait times, activity volumes, resource usage, DNA rates). Don't forget qualitative data through staff and patient feedback.
• Identify waste and bottlenecks: Use techniques like 'Gemba walks' (go and see) to observe processes directly. Look for:
  • Overproduction: Doing more than is needed.
  • Waiting: Patients or staff waiting.
  • Unnecessary transport/movement: Of patients, staff, or equipment.
  • Over-processing: Doing more work on a product than is required.
  • Inventory: Excessive supplies, information, or equipment.
  • Defects: Rework due to errors or poor quality.
  • Under-utilised talent: Not engaging staff innovation or skills.

3. Develop & Test Solutions (Intervene)

• Brainstorm solutions: Involve frontline staff, patients, and other stakeholders. Encourage creative thinking.
• Prioritise interventions: Focus on high-impact, feasible changes. Tools like impact-effort matrices can help.
• Pilot and test: Use Plan-Do-Study-Act (PDSA) cycles for small-scale testing of changes. This allows for learning and refinement before widespread implementation.
• Consider technological solutions: Explore digital tools, AI-assisted diagnostics, or improved scheduling software, always with appropriate governance and clinical safety assessments.

4. Implement & Sustain (Embed)

• Wider implementation: Once changes are proven effective, roll them out more broadly.
• Monitor and evaluate: Continuously track your key metrics to ensure improvements are sustained and identify any unintended consequences. Dashboard reporting is key here.
• Standardise new processes: Document new ways of working and provide staff training.
• Communicate and celebrate: Share successes and acknowledge the efforts of the team. This builds momentum and engagement.
• Regular review: Productivity is not a one-off project but an ongoing endeavour. Regularly review processes for further optimisation.

Example in clinical practice: Optimising an Outpatient Clinic Pathway

Scenario: A General Surgical Outpatient Clinic experiences high DNA rates (20%) and long waiting times for new patient appointments.

1. Define Scope & Goal: Reduce DNA rates to 10% and new patient waiting times by 20% within 9 months for General Surgery Outpatients.

2. Understand Current State:

• Process Mapping: Uncovers multiple steps for appointment booking, confirmation, and reminder calls, spread across several administrative roles.
• Data Analysis: Confirms highest DNA rates in younger demographics and patients requiring follow-up after an initial investigation (e.g., endoscopy).
• Stakeholder Feedback: Patients report not receiving reminders or finding appointments inconvenient. Admin staff report a lack of capacity for reminder calls. Clinicians report wasted clinic slots.
• Bottlenecks/Waste: Manual reminder calls, lack of flexible appointment slots, no easy way for patients to re-schedule, static clinic templates.

3. Develop & Test Solutions:

• Solution 1 (PDSA Cycle 1): Implement automated SMS reminders 72 hours and 24 hours before appointments. Pilot on 2 clinics for 4 weeks.
  • Result: DNA rate drops to 15% in pilot clinics. Positive patient feedback.
• Solution 2 (PDSA Cycle 2): Introduce a dedicated 'cancellation slot' daily, filled from a short-notice waiting list created from pre-emptive triage of suitable patients. Pilot for 6 weeks.
  • Result: 50% of cancellation slots filled, improving access for urgent cases.
• Solution 3 (PDSA Cycle 3): Review clinic templates to allow for some 'flexi-slots' that can be used for new or follow-up as demand dictates, piloted by one consultant.
  • Result: Consultant reports better utilisation, but some admin staffing adjustments needed.

4. Implement & Sustain:

• Roll out automated SMS reminders across all General Surgical clinics.
• Expand cancellation slot system. Work with administrative leads to optimise the short-notice waiting list and booking process.
• Standardise flexible clinic template principles for negotiation with all consultants.
• Develop a dashboard to monitor DNA rates, new patient waits, and clinic utilisation monthly.
• Regularly review patient feedback to iterate on processes.

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

How Lazomis can help

Lazomis provides a suite of tools designed to support clinical leaders in driving productivity improvements by making data more accessible and actionable. Our QI Project Setup module can guide you through the structured approach outlined above, from defining your problem to planning PDSA cycles. The Lazomis Dashboards allow you to visualise key performance indicators and track the impact of your interventions in real-time, providing the essential data needed to monitor progress and sustain change. For specific areas like outpatient management, workflow mapping, and identifying bottlenecks, Lazomis templates can provide a starting point for analysis and intervention planning. By streamlining data collection and reporting, Lazomis frees up valuable clinical and administrative time, allowing teams to focus on implementing and refining improvements.

Furthermore, Lazomis can facilitate cross-departmental collaboration by providing a shared platform for project management and data sharing, crucial for tackling complex, system-wide productivity challenges. Our Guidance Library also expands on methodologies such as process mapping and PDSA cycles, reinforcing learning and application.