Departmental Improvement Dashboards: A Practical Guide for NHS Teams

Why this topic matters

Efficiently managing and improving NHS services requires a clear understanding of current performance and the impact of changes made. Without easily accessible, digestible data, departments can struggle to:

• Identify priorities: Pinpointing where improvements are most needed can be challenging amidst competing demands.
• Monitor progress: Tracking the effectiveness of QI initiatives or audit recommendations becomes difficult without consistent data collection and visualisation.
• Engage staff: Clinical and operational teams are more likely to engage with improvement efforts when they can clearly see the 'why' behind the work and the tangible results of their efforts.
• Demonstrate impact: Reporting to management, commissioners, or CQC requires robust evidence of performance and improvement.

Well-designed departmental dashboards bridge this gap by providing a real-time, visual summary of key performance indicators (KPIs) and improvement metrics, fostering a data-driven culture and supporting continuous improvement cycles.

Practical explanation: What makes an effective dashboard?

An effective departmental improvement dashboard is more than just a collection of charts and tables. It is a strategic tool designed with a clear purpose and its users in mind. Key characteristics include:

• Clear Purpose: Every dashboard should have a defined objective. Is it for daily operational oversight, monthly QI reviews, or quarterly strategic reporting? This dictates the metrics, frequency, and level of detail.
• Targeted Metrics: Focus on a limited number of relevant KPIs that directly link to departmental goals and improvement projects. Avoid information overload.
• Visual Clarity: Use appropriate chart types (e.g., run charts for trends, bar charts for comparisons, pie charts for proportions). Ensure colours, labels, and legends are clear and consistent.
• Accessibility and Usability: Dashboards should be easy to access (e.g., shared drive, intranet, dedicated platform) and intuitive to navigate. Users should be able to quickly understand the information presented without extensive training.
• Actionable Insights: The data should provoke questions and guide decision-making. A good dashboard doesn't just present data; it tells a story about performance and points to areas for action.
• Sustainability: Consider how the data will be collected, updated, and maintained. Manual updates can be resource-intensive and prone to error; automated data feeds are often preferable where possible.
• Governance and Ownership: Clear roles and responsibilities for data quality, dashboard maintenance, and interpretation are essential.

Common pitfalls

Developing departmental dashboards can be fraught with challenges. Being aware of these can help teams avoid common mistakes:

• Too many metrics (dashboard overload): Presenting too much information can overwhelm users and obscure the most important insights. Focus on 'vital few' rather than 'trivial many'.
• Lack of clear purpose: Without a specific goal, dashboards can become a random collection of data that no one uses effectively.
• Poor data quality: "Garbage in, garbage out." If the underlying data is inaccurate, incomplete, or inconsistent, the dashboard will be misleading.
• Static and infrequent updates: Dashboards lose their utility if they are not updated regularly. Real-time or near real-time data is often more valuable for driving timely action.
• Lack of user engagement: If clinicians and operational staff are not involved in the design process, the dashboard may not meet their needs or be adopted.
• Over-reliance on averages: Averages can hide important variations and outliers. Visualisations like run charts or control charts are often more informative for showing trends and special cause variation.
• Ignoring the 'so what?': Data alone isn't enough. Dashboards should facilitate discussions about what the data means and what actions are required.
• Technical complexity: Overly complex dashboards that require specialist software or skills to maintain can be unsustainable for busy NHS departments.

Step-by-step approach to developing improvement dashboards

Step 1: Define the Purpose and Audience

• What question(s) is the dashboard trying to answer? (e.g., Are we meeting our waiting time targets? Is our QI project improving patient flow?)
• Who is the primary audience? (e.g., frontline staff, department leads, trust board). This influences the level of detail and metrics chosen.
• How frequently will the data be reviewed? (e.g., daily huddle, weekly team meeting, monthly governance review).

Step 2: Identify Key Performance Indicators (KPIs) and Metrics

• Work collaboratively with the intended users to define critical metrics that directly relate to the dashboard's purpose.
• Apply the 'SMART' criteria (Specific, Measurable, Achievable, Relevant, Time-bound) to your metrics where possible.
• Consider both process measures (what you do) and outcome measures (what you achieve).
• Where applicable, link metrics to national standards (e.g., NICE guidance, NHS England targets) or local audit recommendations.

Step 3: Source and Validate Data

• Identify reliable data sources: Electronic Patient Records (EPR), theatre systems, waiting list databases, patient experience surveys, local audit data.
• Establish data collection processes: How will the data be extracted and aggregated? Consider automation where feasible.
• Ensure data quality: Implement checks for accuracy, completeness, and consistency. Data validation is an ongoing process.
• Consider Information Governance (IG): Ensure compliance with GDPR and local IG policies, especially when handling patient-identifiable data.

Step 4: Design the Dashboard Layout and Visualisations

• Choose appropriate visualisations: Run charts for trends over time, bar charts for comparisons, pie charts for proportions, scatter plots for relationships.
• Keep it clean and uncluttered: Use whitespace effectively. Prioritise the most important information at the top or left of the dashboard.
• Use consistent colours and fonts: Ensure readability and visual coherence.
• Include context: Add target lines, benchmarks, or thresholds to help users interpret the data. Provide brief explanations or definitions for complex metrics.
• Develop a 'mock-up' or wireframe: Sketching out the dashboard layout before building helps gather feedback early.

Step 5: Build and Test the Dashboard

• Select a suitable platform/tool: This could range from simple spreadsheets (e.g., Microsoft Excel with Power Query/Pivot) to dedicated Business Intelligence (BI) tools (e.g., Power BI, Tableau, Qlik Sense) or bespoke NHS systems. Consider the technical skills available within your team and trust.
• Populate with data: Link your data sources to the chosen platform.
• Thoroughly test: Check that calculations are correct, data refreshes as expected, and visualisations accurately represent the data.
• Pilot with a small group of users: Gather feedback on usability, clarity, and relevance.

Step 6: Implement, Review, and Iterate

• Launch the dashboard: Communicate its availability and provide brief training or guidance to users.
• Establish a review cycle: Regularly review the dashboard's effectiveness with your target audience. Are they using it? Is it providing useful insights? Are the metrics still relevant?
• Be prepared to iterate: Dashboards are living documents. Be ready to adjust metrics, visualisations, or even the underlying data sources based on user feedback and changing departmental needs.
• Promote a culture of data-driven decision making: Encourage discussions and actions based on the dashboard insights during team meetings and QI sessions.

Example in clinical practice: Surgical Ward Improvement Dashboard

A surgical ward team wants to reduce postoperative length of stay (LOS) for elective hip and knee replacements and improve patient experience related to discharge planning. They decide to create a departmental improvement dashboard.

• Purpose: To monitor progress on reducing LOS and improving discharge planning, identifying areas for intervention.
• Audience: Ward manager, surgical consultants, physiotherapists, occupational therapists, discharge coordinators, QI lead.
• Key Metrics:
  • Median postoperative LOS for hip replacement (run chart vs. target of 4 days)
  • Median postoperative LOS for knee replacement (run chart vs. target of 5 days)
  • Proportion of patients receiving discharge information within 24 hours of admission (bar chart)
  • Patient Reported Experience Measure (PREM) score for discharge planning (monthly average vs. benchmark)
  • Number of delayed transfers of care (DTOCs) from the ward (monthly bar chart)
• Data Sources: EPR system for LOS and discharge information timestamps, local PREM survey data, DTOC reporting system.
• Visualisation: A central dashboard displayed on a large screen in the staff room and accessible via the trust intranet. Run charts show trends for LOS, allowing staff to see the impact of new enhanced recovery protocols. Bar charts show current performance against targets for discharge planning and DTOCs.
• Impact: The dashboard provides real-time visibility. The team notices an upward trend in knee replacement LOS and investigates, identifying a bottleneck in physio review timings. They implement a new scheduling system, which they then monitor on the dashboard, observing a subsequent reduction in LOS. The PREM score for discharge planning guides discussions on improving communication with patients and families.

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

How Lazomis can help

Lazomis offers functionalities that can streamline the development and management of departmental improvement dashboards. Our platform provides structured templates for defining QI projects, which inherently guide you towards identifying key metrics for monitoring. The integrated data collection and visualisation tools can simplify the process of aggregating data from various sources and generating clear, interpretable run charts, bar charts, and other visualisations essential for effective dashboards.

By centralising your improvement work, Lazomis can help maintain data quality and ensure consistency across multiple departmental projects, reducing the manual effort associated with dashboard creation and updates. This allows your team to focus less on data wrangling and more on interpreting insights and driving actual improvements.

Key takeaways

• Departmental dashboards convert data into actionable insights for continuous improvement.
• Effective dashboards are purpose-driven, focus on key metrics, and are visually clear and accessible.
• Involve end-users throughout the design and development process to ensure relevance and adoption.
• Prioritise data quality and robust, sustainable data collection methods.
• Dashboards are iterative tools; regularly review, test, and adapt them based on feedback and evolving needs.