Quality Improvement Dashboards: A Practical Guide for NHS Teams

Why this topic matters

In the dynamic environment of the NHS, teams are constantly striving to deliver better care with finite resources. QI initiatives are essential for achieving this, but without clear, consistent monitoring, even well-intentioned projects can lose momentum or fail to demonstrate their value. QI dashboards provide the necessary visibility to:

• Monitor progress: Track key metrics over time to see if interventions are having the desired effect.
• Identify trends and variations: Highlight areas needing attention or where improvements are particularly successful.
• Engage stakeholders: Present information in an easily digestible format for clinical teams, managers, and commissioners.
• Facilitate rapid learning: Enable teams to quickly understand what is working and what is not, allowing for timely adjustments (Plan-Do-Study-Act cycles).
• Sustain improvements: Monitor performance after initial gains to prevent regression and embed new ways of working.

Effective dashboards move beyond mere reporting; they are active tools for learning and decision-making that support the entire QI journey.

Practical explanation of QI Dashboards

A QI dashboard is a visual display of the most important information needed to achieve a QI objective, consolidated and arranged so that the information can be monitored at a glance. Unlike traditional reports, which are often static and detail-heavy, dashboards are designed for quick interpretation and ongoing monitoring.

Key characteristics of an effective QI dashboard:

• Purpose-driven: Each metric and visualisation serves a specific purpose, directly linked to the QI aim.
• Clear and concise: Easy to understand, avoiding jargon and excessive detail.
• Visual: Utilises graphs, charts, and other visual elements to convey information efficiently.
• Timely: Displays up-to-date information, ideally reflecting recent changes.
• Actionable: Prompts discussion and informs decisions about next steps.
• Audience-specific: Designed with the end-users' needs and level of understanding in mind.

Common components of a QI dashboard:

• Run Charts or Statistical Process Control (SPC) Charts: Essential for visualising data over time, identifying special cause variation, and understanding the impact of changes. Run charts are simpler, while SPC charts provide more robust statistical analysis.
• Pareto Charts: Useful for identifying the 'vital few' causes that account for the most problems (e.g., the most common types of adverse incidents).
• Histograms: Show the distribution of a single variable.
• Bar Charts/Column Charts: Compare categories or demonstrate frequency.
• Gantt Charts: For project management, showing timelines of interventions.
• Key Performance Indicators (KPIs): Specific, measurable metrics that track progress towards the QI aim.
• Annotations: Brief notes on charts to indicate when interventions were implemented, external factors, or significant events.
• Target lines: Visual representation of desired performance.

Common pitfalls in QI Dashboard design and implementation

Creating an effective QI dashboard requires careful consideration. Avoiding common mistakes can save significant time and effort:

• 'Dashboard bloat': Too many metrics, leading to an overwhelming and confusing display. Focus on the 'vital few' that directly relate to your QI aim.
• Lack of clear aim: Dashboards without a defined purpose become data graveyards, rather than tools for improvement.
• Poor data quality or availability: Relying on intermittent, inaccurate, or unavailable data renders the dashboard useless. Address data collection processes first.
• Static data: Dashboards are most effective when updated regularly; static or infrequently updated data limits their utility for ongoing QI.
• Ignoring the user: Dashboards that aren't designed with the clinical team's needs and current workflow in mind will not be adopted.
• Confusion between reporting and QI: A QI dashboard aims to drive action and learning, not just present facts for compliance.
• Lack of context: Data points alone can be misleading. Annotations and clear labelling are crucial.
• Over-reliance on automation without understanding: While automation is helpful, understand the source data, calculations, and limitations of any automated dashboard.

Step-by-step approach to creating an effective QI Dashboard

1. Define your QI Aim and Measures

Before you even think about visuals, clarify your QI project's specific aim. What exactly are you trying to improve, by how much, and by when? From this aim, establish your outcome, process, and balancing measures. These will form the core of your dashboard.

• Outcome Measures: What is the ultimate impact on a patient or system?
• Process Measures: Are the new processes being followed reliably?
• Balancing Measures: Are improvements in one area inadvertently causing harm or problems elsewhere?

2. Identify Data Sources and Collection Methods

Where will the data for your measures come from? Is it routinely collected (e.g., electronic patient records, theatre systems) or will you need to instigate new collection (e.g., audits, surveys)? Ensure data is reliable, accessible, and can be collected consistently. Consider whether manual or automated data extraction is appropriate.

3. Design the Dashboard Layout and Visualisations

Sketch out your dashboard on paper first. Think about the logical flow of information and the most effective chart type for each measure.

• Selection of Chart Types: Use run charts or SPC charts for measures over time. Use Pareto charts for categorised problem identification. Avoid pie charts for comparing more than a few categories. Prioritise clarity over complexity.
• Layout: Place the most critical information prominently. Group related measures together. Use clear titles and labels.
• Colour Palette: Use colours purposefully (e.g., red for targets missed, green for met), but sparingly to avoid visual clutter.
• Annotations: Plan where you will add notes about interventions or significant events on your charts.

4. Build and Test the Dashboard

Depending on your organisation's resources, you might use tools like Excel, Power BI, Tableau, or dedicated QI software. Build a prototype and test it with a small group of end-users.

• User Feedback: Is it easy to understand? Is the data clear? Does it prompt the right questions?
• Data Accuracy: Double-check that the data displayed is accurate and calculations are correct.
• Functionality: If interactive, ensure all features work as intended.

5. Implement, Review, and Evolve

Launch your dashboard to the wider team involved in the QI project. Schedule regular review meetings where the dashboard is used as the primary tool for discussion.

• Regular Reviews: Integrate dashboard review into huddles, team meetings, or QI project meetings.
• Interpret and Act: Don't just look at the data; discuss what it means and what actions are needed.
• Iterative Improvement: Dashboards are not static. As your QI project progresses, your needs may change. Be prepared to adapt and refine your dashboard based on ongoing feedback and learning.

Example in clinical practice: Reducing length of stay for elective hip replacements

An orthopaedic ward QI team identified an opportunity to reduce the average length of stay (LoS) for elective hip replacement patients from 5 days to 3.5 days within six months, aiming to improve patient flow and bed availability.

QI Dashboard components:

• Outcome Measure (Run Chart): Average Length of Stay for elective hip replacements (days), plotted weekly, with a target line at 3.5 days. Annotations show implementation dates of new protocols (e.g., enhanced recovery pathway, daily consultant board rounds).
• Process Measure (Run Chart): Percentage of patients mobilised on day 0 post-op, plotted daily/weekly. This tracks adherence to the new enhanced recovery pathway.
• Balancing Measure (Run Chart): Readmission rate within 30 days for elective hip replacements. This ensures that reducing LoS isn't negatively impacting patient safety or leading to premature discharge.
• Pareto Chart: Common reasons for delayed discharge (e.g., awaiting physiotherapy, awaiting social care assessment, medical complication), updated monthly to identify primary bottlenecks.

Dashboard utilisation:

The ward team reviewed this dashboard weekly during their multidisciplinary team (MDT) huddle. When the LoS run chart showed a sustained reduction below the baseline, coinciding with increasing mobilisation rates, the team celebrated. They also noticed from the Pareto chart that 'awaiting social care assessment' was consistently the biggest reason for delayed discharge. This prompted a specific QI initiative to streamline social care referrals and assessments post-operatively, involving the hospital's discharge planning team and local authority social workers.

This example demonstrates how a well-designed QI dashboard provides immediate feedback, identifies areas for further intervention, and validates the impact of changes, leading to sustained improvement.

How Lazomis can help

Lazomis offers tools that can significantly streamline the creation and management of QI dashboards. Our platform provides modules for structured data collection, enabling you to capture the right data for your QI measures efficiently. The built-in visualisation features allow you to construct clear run charts, Pareto charts, and other essential QI graphs without needing complex spreadsheet formulas or specialist software knowledge.

Lazomis helps you to track your QI projects from inception through to sustainment, providing a central repository for your aim statements, interventions, and associated data. This integration ensures that your dashboards are always linked to your project objectives and easily accessible to all team members, fostering a collaborative approach to quality improvement. Lazomis supports automated data feeds where possible, reducing the manual burden of data entry and ensuring your dashboards are current and actionable.

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