Operational Dashboards vs. Governance Dashboards: Tailoring Information for UK Healthcare Decision-Making

Why this topic matters

The NHS operates under immense pressure, with constant demands for efficiency, quality improvement, and robust accountability. While data is abundant, converting raw information into actionable intelligence remains a significant challenge. Many organisations develop numerous dashboards without a clear strategy, leading to 'dashboard fatigue', irrelevant metrics, and a failure to address the specific needs of different user groups.

Misaligning a dashboard's purpose can have tangible consequences:

• For operations: Without real-time, granular data, teams struggle to identify bottlenecks, manage patient flow, or allocate resources effectively, impacting patient experience and safety.
• For governance: Lacking high-level, trend-based, aggregated information, boards and committees may fail to identify systemic risks, monitor compliance, or track strategic objectives, potentially leading to regulatory breaches or service failures.

Understanding and intentionally designing for the distinct requirements of operational versus governance reporting is crucial for optimising data utilisation, fostering a data-driven culture, and ultimately, improving patient care and organisational performance within the NHS context.

Practical explanation: Operational vs. Governance Dashboards

While both operational and governance dashboards rely on data, their objectives, content, refresh rates, and audiences are fundamentally different. Recognising these distinctions is key to developing effective data visualisation tools.

Operational Dashboards

Operational dashboards are designed for immediate, day-to-day management and performance monitoring. They provide a 'here and now' view, enabling frontline teams and departmental managers to react swiftly to changing circumstances and make rapid adjustments.

Key characteristics:

• Audience: Frontline staff, departmental managers, team leaders, clinical leads.
• Purpose: To monitor current performance, identify emerging issues, manage resources, track patient flow, and inform immediate tactical decisions.
• Data Granularity: High – often patient-level or individual activity level data.
• Time Horizon: Real-time or near real-time (e.g., hourly, daily, shift-based).
• Metrics: Focused on process metrics, throughput, capacity utilisation, immediate safety incidents, staffing levels, waiting times for specific steps in a pathway.
• Actionability: Direct and immediate – prompts quick intervention, problem-solving, and resource reallocation.
• Examples: ED waiting times, bed occupancy, theatre utilisation, clinic attendance rates, medication stock levels, equipment availability, nurse-to-patient ratios on a ward.

Governance Dashboards

Governance dashboards provide a strategic, aggregated view of organisational performance. They are designed for executive teams, board members, and governance committees to assess overall compliance, strategic progress, risk exposure, and long-term trends. They inform strategic planning, policy development, and accountability.

Key characteristics:

• Audience: Board of Directors, Executive Committee, Divisional Directors, clinical governance committees, quality committees, Integrated Care Board (ICB) representatives.
• Purpose: To oversee organisational performance against strategic objectives, monitor key risks, ensure compliance with regulatory standards (e.g., CQC, NHSE), track long-term quality and safety trends, and inform strategic decision-making.
• Data Granularity: Aggregated, summarised data – often at department, divisional, or organisational level.
• Time Horizon: Periodic (e.g., weekly, monthly, quarterly, annually) with trend analysis over longer periods.
• Metrics: Focused on outcome metrics, key performance indicators (KPIs), strategic objectives, compliance rates, patient safety incidents (e.g., SIs, never events), financial performance, staff retention, patient experience (e.g., Friends and Family Test scores).
• Actionability: Strategic and retrospective – informs policy changes, resource allocation at a higher level, risk mitigation strategies, and accountability processes.
• Examples: CQC rating metrics, aggregated patient safety incident rates, overall referral-to-treatment (RTT) waiting list trends, financial expenditure against budget, workforce attrition rates, patient outcome measures for specific conditions (e.g., mortality rates, readmission rates).

Common pitfalls

Developing effective dashboards requires careful planning. Several common pitfalls can undermine their value:

• One-size-fits-all approach: Attempting to create a single dashboard that serves all purposes and audiences invariably fails to satisfy any of them effectively.
• Data overload: Presenting too many metrics or too much raw data makes a dashboard difficult to interpret and act upon. Clarity is paramount.
• Lack of context: Numbers without context (e.g., targets, historical trends, peer benchmarks) are less meaningful and can lead to misinterpretation.
• Poor data quality: Dashboards are only as good as the data feeding them. Inaccurate, incomplete, or inconsistently recorded data renders any dashboard unreliable.
• Static design: Dashboards should evolve with organisational needs. A static design can quickly become obsolete, especially in a dynamic environment like the NHS.
• No clear ownership: Without designated individuals responsible for data accuracy, dashboard maintenance, and interpretation, their utility wanes.
• Ignoring the 'so what?': A dashboard should prompt questions and actions. If users don't understand what they are supposed to do with the information, it's merely a display.
• Focusing solely on 'red/green': While visual alerts are useful, a nuanced understanding of performance requires more than simple pass/fail indicators. Trends, magnitude of change, and statistical process control (SPC) charts offer greater insight.
• Lack of integration: Dashboards that operate in silos, disconnected from other data sources or reporting systems, limit comprehensive analysis and can create conflicting narratives.

Step-by-step approach to effective dashboard design

Developing purpose-driven dashboards requires a structured approach.

1. Define the Audience and Purpose

• Who is this dashboard for? (e.g., ward manager, trust board, QI team).
• What decisions will they make with this information? (e.g., allocate staff for next shift, approve a new strategic objective, escalate a major risk).
• What questions does this dashboard need to answer? This is the most crucial step. Start with the questions, not the data.

2. Identify Key Metrics (KPIs)

• Based on the defined purpose, select a limited number of critical metrics (typically 5-10 for a single dashboard) that directly address the user's questions and drive action.
• Ensure metrics are measurable, relevant, timely, and aligned with organisational goals or national standards (e.g., NICE, CQC, NHSE guidance).
• For operational dashboards, focus on process efficiency and immediate safety. For governance, focus on strategic outcomes, compliance, and risk.

3. Determine Data Sources and Refresh Rate

• Where will the data come from? (e.g., Electronic Patient Records, PAS, HR systems, finance systems, national datasets).
• How often does the data need to be refreshed? Operational dashboards often require near real-time data, while governance dashboards might be refreshed monthly or quarterly.
• Establish data ownership and quality assurance processes. Without robust data, the dashboard is misleading.

4. Design the Visualisation

• Simplicity and Clarity: Use appropriate chart types (e.g., line charts for trends, bar charts for comparisons, gauges for targets).
• Visual Hierarchy: Highlight the most important information. Use colour sparingly and consistently (e.g., red for critical, amber for caution, green for good).
• Provide Context: Include targets, benchmarks, and historical trends. Use statistical process control (SPC) charts where appropriate to differentiate common cause from special cause variation.
• Interactive Elements: Consider drill-down capabilities for exploring underlying data, especially for governance dashboards to allow deeper investigation.
• Accessibility: Ensure the design is accessible, considering colour blindness and screen reader compatibility where applicable.

5. Pilot, Iterate, and Train

• Pilot with end-users: Gather feedback on usability, relevance, and clarity. Is it easy to understand? Does it answer their questions? Does it drive action?
• Iterate: Be prepared to make changes based on feedback. Dashboard design is an iterative process.
• Train users: Ensure users understand how to interpret the data, what the metrics mean, and what actions they can take. Document definitions and methodologies.

6. Establish Governance and Review

• Define ownership: Who is responsible for maintaining the dashboard, ensuring data quality, and responding to user queries?
• Schedule regular reviews: Dashboards should be reviewed periodically (e.g., annually) to ensure they remain relevant to evolving organisational priorities and data availability.
• Document: Keep clear documentation of metrics, definitions, data sources, and refresh schedules.

Example in clinical practice

Consider a busy NHS Acute Medical Unit (AMU).

Operational Dashboard for the AMU Ward Manager

• Purpose: To manage daily patient flow, bed capacity, staffing, and immediate clinical risks.
• Metrics:
  • Current bed occupancy (number in/out, available beds, projected discharges).
  • Patient waiting for specialty review (time in ED, time on AMU).
  • Nurse-to-patient ratio for current shift.
  • Patients with NEWS2 score >3 awaiting review.
  • Patients requiring immediate discharge planning.
  • Pending diagnostics for patients likely for same-day discharge.
• Refresh: Hourly/shift change.
• Action: Redeploy staff, expedite diagnostic requests, chase specialty reviews, initiate early discharge planning.

Governance Dashboard for the Trust Board/Quality & Safety Committee

• Purpose: To monitor overall acute medical care performance, patient safety, and strategic objectives for emergency care pathways.
• Metrics:
  • Average length of stay for AMU admissions (monthly trend vs. target).
  • 30-day readmission rate from AMU (quarterly trend).
  • Aggregate patient safety incidents on AMU (e.g., medication errors, falls) by severity (monthly trend).
  • Compliance with 4-hour ED target and total time in ED pathway for AMU admissions (quarterly trend).
  • Patient experience scores for acute medical care (e.g., FFT, patient survey results – quarterly).
  • Workforce stability for AMU (e.g., staff sickness, turnover rates – quarterly).
• Refresh: Monthly/quarterly.
• Action: Allocate funding for service redesign, review staffing models across acute sites, initiate trust-wide quality improvement programmes based on safety trends, hold directors accountable for performance against strategic KPIs.

This example clearly illustrates how the same 'domain' (acute medical care) requires distinct dashboards depending on the user's need for tactical vs. strategic information.

How Lazomis can help

Lazomis offers a robust platform designed to support both operational and governance reporting needs within the NHS. Our tools can assist your teams in:

• Structured Data Collection: Lazomis allows for the creation of bespoke data collection forms, ensuring consistency and quality of information from source, which is critical for reliable dashboards.
• Centralised Data Management: Aggregate data from various systems and sources into a single, secure platform, streamlining the process of building comprehensive dashboards.
• Customisable Dashboard Building: Easily design and configure dashboards tailored to specific audiences – whether frontline teams needing real-time operational insights or governance committees requiring aggregated, trend-based views. Utilise a variety of chart types, filters, and drill-down options.
• Automated Reporting: Schedule automated reports and alerts based on pre-defined thresholds, ensuring timely dissemination of critical information without manual effort.
• QI and Audit Integration: Link dashboard metrics directly to ongoing Quality Improvement projects or clinical audits, providing immediate feedback on interventions and tracking progress against baseline data. This helps move from 'knowing' to 'doing'.
• Secure Data Sharing: Control access permissions to ensure that sensitive data is only visible to authorised personnel, maintaining data governance and security standards.

By providing the infrastructure for efficient data capture, analysis, and visualisation, Lazomis empowers NHS teams to move beyond basic reporting to truly data-driven decision-making, ensuring that both operational efficiency and strategic oversight are effectively supported.

Key takeaways

• Operational and governance dashboards serve distinct purposes and audiences; a one-size-fits-all approach is ineffective.
• Operational dashboards offer real-time, granular data for immediate tactical decisions and frontline management.
• Governance dashboards provide aggregated, trend-based insights for strategic oversight, risk management, and accountability.
• Effective dashboard design begins by clearly defining the audience, purpose, and key questions the dashboard must answer.
• Prioritise data quality, ensure appropriate refresh rates, and provide context (targets, trends) for all metrics.
• Regularly review dashboards with users to ensure ongoing relevance, usability, and actionability.

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