Effective Dashboard Data Presentation for Clinical Teams

Why this topic matters

Effective data presentation is crucial for several reasons in a healthcare setting:

• Informed Decision-Making: Clinicians need to quickly grasp trends, outliers, and key performance indicators (KPIs) to make timely, evidence-informed decisions about patient care, service delivery, and resource allocation.
• Engagement and Buy-in: When data is presented clearly and relevantly, it fosters engagement, encouraging clinicians to own the data and participate in quality improvement initiatives.
• Accountability and Transparency: Well-designed dashboards promote transparency, allowing teams to monitor their performance against local and national standards and identify areas for improvement or celebrate successes.
• Efficiency: Busy clinicians have limited time. Data that is difficult to interpret or requires extensive explanation wastes valuable clinical time and can detract from patient care.
• Driving Quality Improvement: For QI leads and audit teams, the ability to effectively communicate findings from dashboards is fundamental to mobilising action, identifying root causes, and demonstrating the impact of improvement efforts.

Practical explanation: Principles of effective data presentation

Presenting data to clinicians requires a nuanced approach that considers their clinical context, time constraints, and specific information needs. The goal is to move beyond simply displaying numbers to telling a compelling, actionable story with the data.

1. Know Your Audience and Their Context

Understand the specific clinical team, their daily workflows, their primary concerns, and the questions they need answered. Are they interested in individual patient outcomes, departmental performance, or wider trust-level trends? Tailor the presentation to their specific scope of practice and clinical governance responsibilities.

2. Focus on Key Performance Indicators (KPIs)

Avoid information overload. Identify the 3–5 most critical metrics that directly reflect the team's objectives or areas of concern. These should ideally be clearly defined, measurable, achievable, relevant, and time-bound (SMART).

• Clinical Outcomes: e.g., readmission rates, infection rates, average length of stay.
• Safety Metrics: e.g., incident reporting rates, medication errors, falls.
• Access/Flow: e.g., waiting times, discharge timeliness, bed occupancy.
• Efficiency: e.g., theatre utilisation, clinic DNA rates.

3. Visual Clarity and Simplicity

Choose appropriate chart types that convey information quickly and accurately. Simpler is almost always better.

• Line charts: Ideal for showing trends over time (e.g., patient admissions per month).
• Bar charts: Good for comparing discrete categories (e.g., performance of different wards).
• Pie charts: Generally avoided or used sparingly, only for showing parts of a whole when there are very few categories (e.g., breakdown of patient ethnicity if categories are few and distinct). A bar chart is often clearer.
• Run charts/Control charts: Essential for understanding variation over time, distinguishing common cause from special cause variation in QI projects. These are particularly powerful for clinical teams engaged in process improvement.
• Heatmaps: Useful for displaying data density or patterns across multiple categories, e.g., appointment availability.

Ensure colours are used purposefully, consistently, and are accessible (consider colour blindness). Avoid excessive use of different colours on a single chart. Labels should be clear, concise, and large enough to read easily. Provide a clear title for each chart and axis labels.

4. Provide Context and Benchmarking

Raw numbers often lack meaning without context. Provide comparative data where possible:

• Targets: Show how current performance compares to local or national targets.
• Benchmarks: Compare against previous periods, other similar departments, or national averages (e.g., from GIRFT, NCEPOD, National Audits).
• Trends: Emphasise changes over time, not just static snapshots.

5. Add Narrative and Actionable Insights

Numbers alone don't tell the full story. Supplement visuals with concise textual explanations that highlight key findings, potential implications, and suggested actions. Frame the data around a problem or opportunity.

• What does this data tell us? Summarise the main takeaway.
• Why is this happening? Offer potential explanations (or prompt discussion).
• What should we do next? Propose actionable steps or questions for discussion.

Common pitfalls to avoid

• Information Overload: Too many metrics, charts, or detailed tables can overwhelm and disengage the audience. Resist the urge to show every piece of data available.
• Lack of Relevance: Presenting data that doesn't directly pertain to the team's responsibilities or current challenges will be quickly dismissed.
• Poor Visualisation Choices: Inappropriate chart types, confusing colour schemes, or small, illegible text hinder understanding.
• Missing Context: Data without targets, benchmarks, or historical trends is difficult to interpret and act upon.
• No Clear Call to Action: Simply showing data without guiding the audience towards what they should think or do next reduces its impact.
• Ignoring Variation: Presenting only averages without showing the spread or variation in data can be misleading, especially in quality improvement contexts. Understanding variation is key to robust QI.
• Assuming Data Literacy: Not all clinicians are data experts. Avoid jargon and explain complex metrics clearly.

Step-by-step approach to preparing dashboard presentations

1. Define the Objective: What is the key message or decision you want the audience to take away? What question are you trying to answer? (e.g., 'To review patient flow challenges in AMU last month', 'To identify trends in medication errors').
2. Identify Your Audience: Which clinical team are you presenting to? What are their priorities and knowledge levels?
3. Select Key Metrics: Choose 3–5 KPIs that directly address your objective and are relevant to the audience.
4. Gather and Validate Data: Ensure your data is accurate, up-to-date, and from reliable sources. Understand any limitations or caveats.
5. Choose Appropriate Visualisations: Select chart types that best represent each metric and make comparisons clear.
6. Add Contextual Information: Include targets, benchmarks, and historical trends.
7. Craft a Narrative: Write concise summaries and actionable insights for each section. What story does the data tell?
8. Structure the Presentation: Arrange your slides logically. Start with an overview, present data points with context, discuss implications, and conclude with next steps or questions.
9. Practice and Refine: Rehearse the presentation. Ask a colleague to review it for clarity and impact. Ensure you can explain any data points or trends.
10. Facilitate Discussion: Encourage questions and debate. The presentation is a starting point for discussion, not the end of it.

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

Example in clinical practice: Presenting Falls Data to a Ward Team

A QI Lead needs to present monthly falls data to a ward team. Instead of just showing a table of numbers, they use the following approach:

• Objective: To engage the ward team in reducing patient falls and identify specific areas for intervention.
• Audience: Ward Manager, nursing staff, junior doctors, ward pharmacist, physiotherapist, occupational therapist.
• Key Metrics:
  • Number of falls per 1,000 patient bed days (KPI).
  • Falls by time of day (to identify staffing/activity patterns).
  • Falls by location (e.g., bedside, toilet, corridor).
  • Falls by contributing factor (e.g., unassisted toileting, cognitive impairment, medication-related).
• Visualisations:
  • Run chart: Monthly falls rate over the last 12 months, with a clear line indicating the Trust target and the previous year's average, highlighting any special cause variation.
  • Bar chart: Breakdown of falls by time of day, showing peaks and troughs.
  • Bar chart: Falls by location, ordered from highest to lowest incidence.
  • Pareto chart: Top contributing factors for falls, to prioritise interventions.
• Narrative/Insights:
  • "Our fall rate this month was slightly above target, continuing a trend from the last quarter. However, the control chart shows common cause variation, suggesting a systemic issue rather than isolated events."
  • "We see a notable peak in falls between 6 AM and 8 AM, and again between 9 PM and 11 PM. This correlates with shift changes and patient routines."
  • "The majority of falls are occurring in or around the patient's bedside, and particularly during unassisted transfers to the toilet."
  • "Analysis of contributing factors highlights that cognitive impairment and mobility issues are consistently the highest factors, often linked to medication side effects and insufficient assistance."
• Call to Action: "Based on this, what interventions could we trial during these peak times or for patients with cognitive impairment requiring toileting assistance? Could we review our patient observation charts or medication rounds?"

This structured approach transforms raw data into a clear call for discussion and improvement, empowering the ward team to identify and implement targeted solutions.

How Lazomis can help

Lazomis provides robust, customisable dashboards that can be tailored to various clinical and operational needs across the NHS. Our platform allows you to:

• Visualise Complex Data: Utilise a range of intuitive chart types to represent your data clearly and effectively.
• Set Targets and Benchmarks: Easily integrate local and national targets, and historical data for meaningful comparisons.
• Customise Views for Different Audiences: Create role-specific dashboards, ensuring clinicians see the most relevant data for their area of practice without being overwhelmed.
• Drill-Down Capabilities: Allow users to explore data in more detail if needed, without cluttering the initial view.
• Export and Share Insights: Facilitate the sharing of reports and key visualisations for presentations and discussions within clinical governance meetings, audit feedback sessions, or QI project teams.
• Support Run and Control Charts: Crucial for teams engaged in Quality Improvement, helping distinguish signal from noise in performance data.

By leveraging Lazomis's features, you can streamline the process of preparing and presenting impactful data, enabling your teams to focus on interpretation and action.

Key takeaways

• Tailor dashboard presentations to the specific clinical audience and their context.
• Focus on 3–5 key performance indicators (KPIs) relevant to patient care or service delivery.
• Use simple, appropriate visualisations (e.g., run charts, bar charts) for clarity and impact.
• Provide context with targets, benchmarks, and historical trends to aid interpretation.
• Add a clear narrative and actionable insights to guide discussion and decision-making.
• Avoid information overload and ensure the data tells a compelling, actionable story.
• Use tools like Lazomis to streamline data visualisation and customisation for diverse clinical needs.