Leveraging Lazomis QI Dashboards for Impactful Healthcare Improvement

Why this topic matters

Quality Improvement is a continuous journey that requires diligent monitoring and evaluation. Without a clear way to see if interventions are working, QI projects can lose momentum or fail to demonstrate their impact effectively. Traditional methods of data analysis can be time-consuming, siloed, and often fail to provide the immediate insights needed to adapt and refine strategies.

Timely access to project data, presented in an understandable format, is crucial for engaging stakeholders, sustaining change, and demonstrating the value of QI work to wider audiences. Dashboards provide a single source of truth, fostering transparency and accountability across a QI project team.

Practical explanation: What are Lazomis QI Dashboards?

Lazomis QI Dashboards are dynamic, visual reporting tools integrated within the Lazomis platform. They are specifically designed to present data generated from your QI projects, allowing teams to monitor key metrics, track progress against aims, and identify trends or anomalies at a glance.

These dashboards are populated by data that your team collects and inputs into the Lazomis platform, often via structured data collection forms. The system then processes this information, applying relevant calculations and visualisations – such as run charts, control charts, Pareto charts, or simple bar/pie graphs – to create an intuitive overview of your project's performance.

Key Components of a Lazomis QI Dashboard:

• Key Performance Indicators (KPIs): These are the core measures you are tracking, directly linked to your project's aims (e.g., 'percentage of patients discharged before 12 pm', 'mean waiting time for X procedure').
• Aims and Targets: Dashboards display your stated project aims, often with clear target lines or thresholds, allowing for easy comparison of current performance against desired outcomes.
• Trend Visualisations: Run charts and statistical process control (SPC) charts are fundamental, illustrating performance over time and helping to differentiate common cause variation from special cause variation.
• Breakdown Views: Ability to disaggregate data by relevant categories (e.g., ward, consultant, shift) to identify specific areas of strength or where improvement efforts need to be focused.
• Filters and Customisation: Users can often apply filters to view specific date ranges, cohorts, or other relevant dimensions, tailoring the dashboard to their immediate analytical needs.
• Annotations: The ability to add notes to charts to mark specific interventions or events, helping to understand their impact on the data.

Common pitfalls in QI data visualisation

While dashboards offer significant advantages, several common pitfalls can hinder their effectiveness:

• Over-complication: Too many metrics or overly complex charts can overwhelm users, making it difficult to extract meaningful insights. Dashboards should be 'at a glance' tools.
• Lack of Context: Data without context (e.g., missing aim lines, unclear definitions of metrics, absence of intervention points on charts) can be misleading or misinterpreted.
• Poor Data Quality: The adage 'garbage in, garbage out' applies. If the underlying data collected is inaccurate, incomplete, or inconsistently defined, the dashboard will reflect these flaws.
• Infrequent Updates: Dashboards lose their value if they are not updated regularly. Stale data prevents timely decision-making and erodes trust in the system.
• Ignoring Statistical Process Control (SPC): Relying solely on run charts without applying basic SPC principles can lead to misinterpreting normal variation as significant change, or vice versa, resulting in over-reaction or under-reaction to data points.

Step-by-step approach to using Lazomis QI Dashboards

Leveraging Lazomis QI Dashboards effectively involves a structured approach:

1. Define Your Measures and Aims Clearly

Before you even open the dashboard, ensure your QI project has well-defined, measurable aims and clearly articulated process, outcome, and balancing measures. These form the bedrock of what your dashboard will track. Use the Lazomis QI Project Setup tool to formalise these.

2. Set Up Your Data Collection

Within Lazomis, configure your data collection forms to capture the necessary data points for your chosen measures. Ensure data definitions are clear and consistent for all team members involved in collection. This step is critical for data quality.

3. Populating the Dashboard

As your project progresses, regularly input the collected data into the Lazomis platform. The dashboard will automatically update, reflecting the latest performance data. Establish a routine for data entry – daily, weekly, or monthly – depending on your project's cadence and data volume.

4. Regularly Review and Interpret

Schedule regular team meetings (e.g., weekly or fortnightly) to review the dashboard. Focus on:

• Overall progress: Are you moving towards your aim?
• Trends: Are there sustained improvements, declines, or stable performance?
• Special Cause Variation: Use SPC rules (e.g., shifts, trends, astronomical points) to identify if observed changes are statistically significant, indicating a genuine impact of your interventions or new factors at play.
• Areas for Deep Dive: If a particular measure is not improving, or a specific breakdown (e.g., ward, shift) is an outlier, this flags areas for further investigation.

5. Discuss and Act on Insights

Dashboards are not just for viewing; they are for informing action. Based on your interpretation, discuss:

• What interventions have been effective? How can these be sustained or spread?
• What interventions are not working? Why might this be? Do we need to adapt, pause, or abandon them?
• What new hypotheses or PDSAs should we test?
• Who needs to know about these insights? (e.g., wider team, leadership, service users).

6. Communicate and Engage Stakeholders

Use the dashboard as a powerful communication tool. Share progress with your wider team, managers, and service users. Visual data is often more compelling than raw numbers or text, fostering engagement and demonstrating transparency.

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

Project Aim: Reduce the mean length of stay (LOS) for elective hip replacement patients from 5 days to 3 days within six months, maintaining patient satisfaction and readmission rates.

Lazomis Dashboard Setup:

• Primary Outcome Measure: Mean LOS (days) for elective hip replacements (tracked with an SPC chart and an aim line at 3 days).
• Balancing Measures: Patient satisfaction scores (survey data), 30-day readmission rate (proportion), complications rate (proportion).
• Process Measures: Percentage of patients mobilised on day 0 post-op, percentage of patients receiving discharge planning on admission.

Team Workflow:

1. Data Collection: Daily data entry by ward clerks or nursing staff on patient LOS, mobilisation, discharge planning, and any complications. Weekly collection of patient satisfaction scores.
2. Dashboard Review: The QI team (physiotherapist, ward manager, surgeon, anaesthetist) meets weekly to review the Lazomis dashboard.
3. Interpretation & Action:
   • Initially, the LOS SPC chart shows common cause variation around 4.5 days. The team observes a 'shift' (eight consecutive points below the mean) after implementing a new enhanced recovery pathway.
   • Patient satisfaction scores remain stable, and readmission rates show no adverse change (balancing measures are holding).
   • A breakdown view reveals that patients discharged to a specific community rehabilitation unit have a consistently higher LOS. This prompts a PDS A cycle to investigate the handover process to that unit.
   • The dashboard clearly shows the impact of the enhanced recovery pathway on LOS, allowing the team to confidently embed this change and consider spreading it to other surgical pathways.

How Lazomis can help

Lazomis provides integrated tools that simplify the entire QI process, from inception to evaluation:

• Structured QI Project Setup: Guides you through defining your project aim, measures, and change ideas.
• Customisable Data Collection Forms: Allows you to build forms tailored to your project's specific data needs, ensuring consistency and accuracy.
• Automated Dashboard Generation: Automatically generates and updates visually engaging dashboards, including run charts and SPC charts, directly from your collected data.
• Real-time Insights: Provides immediate visibility into your project's progress, enabling timely adjustments and data-driven decision-making.
• Collaboration Features: Facilitates team collaboration and communication around data, fostering a shared understanding of performance.

By centralising your QI project data and providing robust visualisation tools, Lazomis QI Dashboards empower your team to focus on the 'what' and 'why' of improvement, rather than getting bogged down in data manipulation.

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

Key takeaways