Patient Flow Dashboards: Enhancing Operational Visibility and Performance

Why this topic matters

Patient flow challenges are endemic within the NHS, manifesting as long waiting times in emergency departments, delayed transfers of care (DTOC), elective backlogs, and bed shortages. These issues not only impact patient experience and clinical outcomes but also contribute to staff burnout and significant financial pressures. NHS England's focus on operational productivity and capacity management underscores the urgent need for tools that support data-driven decision-making.

Patient flow dashboards offer a structured way to monitor the entire patient journey. By making key performance indicators (KPIs) visible to multidisciplinary teams, they foster shared understanding and accountability. This transparency empowers teams to identify specific areas of strain, prioritise interventions, and measure the impact of changes, moving beyond anecdotal evidence to informed action.

Practical explanation

What is a patient flow dashboard?

A patient flow dashboard is a digital or physical display that presents a consolidated view of real-time or near real-time data related to patient movement and associated metrics within a healthcare system. It typically uses visualisations such as charts, graphs, and colour-coding to make complex data easily digestible. The aim is to provide an at-a-glance overview of the current status of patient flow and to highlight trends or anomalies that require attention.

Key components of a typical dashboard

While dashboards are highly customisable, common components related to patient flow often include:

• Emergency Department (ED) metrics: e.g., total patients in ED, average length of stay (ALoS), 4-hour target performance, patients awaiting admission, time to first assessment.
• Inpatient metrics: e.g., bed occupancy rates (overall and by specialty), number of available beds, anticipated discharges, delayed transfers of care (DTOC) numbers and reasons, average length of stay (overall and by diagnosis related group).
• Elective care metrics: e.g., waiting list size, breaches of RTT (Referral To Treatment) targets, theatre utilisation, clinic attendance rates, patient choice.
• Diagnostics: e.g., waiting times for key investigations (e.g., MRI, CT, endoscopy), reporting times.
• Staffing levels: e.g., nursing and medical staff availability by ward/department (often linked to acuity).
• Capacity alerts: e.g., visual warnings for units approaching or exceeding capacity thresholds, potential outbreaks.

Data sources

Dashboards draw data from various hospital information systems, including:

• Electronic Patient Records (EPRs)/Electronic Health Records (EHRs)
• Patient Administration Systems (PAS)
• Departmental systems (e.g., EDIS, theatre management systems, laboratory information systems, radiology information systems)
• Bed management systems
• Staff rostering systems

Effective integration of these systems is crucial for a comprehensive and accurate dashboard.

Benefits of patient flow dashboards

• Enhanced Visibility: Provides an immediate, clear picture of the current state of patient flow across departments or the entire organisation.
• Timely Decision-Making: Enables clinical and operational leaders to make rapid, informed decisions based on up-to-date data, for example, reallocating resources or escalating issues.
• Identification of Bottlenecks: Helps pinpoint specific points in the patient journey where delays or inefficiencies occur, facilitating targeted improvement efforts.
• Performance Monitoring: Tracks key performance indicators (KPIs) against targets, allowing for continuous assessment of operational efficiency.
• Improved Communication: Fosters a common understanding of operational pressures and priorities among multidisciplinary teams.
• Supports Quality Improvement (QI): Provides data to inform QI projects, measure the impact of interventions, and sustain improvements.
• Patient Safety: By reducing delays and improving flow, dashboards can indirectly contribute to better patient outcomes and reduced risk of harm.

Common pitfalls

Implementing and using patient flow dashboards effectively comes with potential challenges:

• Poor Data Quality: "Garbage in, garbage out." Inaccurate, incomplete, or inconsistently entered data will lead to misleading dashboard insights.
• Lack of Integration: Siloed data systems make it difficult to create a holistic view of patient flow, requiring manual data collation which is slow and prone to error.
• Over-complication: Too many metrics, overly complex visualisations, or a cluttered interface can make the dashboard overwhelming and difficult to interpret, leading to disengagement.
• Lack of Actionable Insights: A dashboard that only presents data without clearly signposting issues or areas for action may not drive improvement.
• Resistance to Change/Adoption: Staff may be slow to adopt new tools, or may distrust the data if they don't understand its source or derivation.
• ** "Dashboard Fatigue"**: If dashboards are not regularly reviewed, updated, and acted upon, they can become background noise, losing their impact.
• Lack of Governance: Poorly defined ownership, responsibilities, and update cycles can undermine the utility and longevity of the dashboard.
• Misinterpretation of Data: Without proper training, users might draw incorrect conclusions from the data, leading to suboptimal decisions.

Step-by-step approach to implementing effective patient flow dashboards

1. Define Objectives and Scope: What specific patient flow problems are you trying to solve? Which clinical pathways or departments will the dashboard cover? What are the key questions you need answers to?
2. Engage Stakeholders: Involve clinical, operational, IT, and governance teams from the outset. Understand their needs, concerns, and workflow. Early engagement fosters ownership and ensures relevance.
3. Identify Key Metrics (KPIs): Based on your objectives, select the most relevant and actionable KPIs. Start with a manageable number and expand if needed. Ensure clear definitions for each metric to prevent ambiguity.
4. Assess Data Sources and Integration Needs: Map out where the required data resides. Work with IT to establish reliable data feeds and integration points. Prioritise automated data extraction over manual processes.
5. Design the Dashboard: Collaboratively design the layout, visualisations, and navigation. Focus on clarity, simplicity, and ease of interpretation. Consider different views for different user groups (e.g., a high-level organisational view vs. a detailed ward view).
6. Develop and Test: Build the dashboard iteratively. Conduct rigorous testing with end-users to identify bugs, improve usability, and refine the interface. Validate data accuracy against source systems.
7. Pilot and Refine: Implement the dashboard in a pilot area. Gather feedback from users on its utility, clarity, and any missing features. Be prepared to make adjustments based on this feedback.
8. Training and Communication: Provide comprehensive training for all users on how to interpret, use, and act upon the dashboard data. Communicate the dashboard's purpose, benefits, and how it aligns with wider organisational goals.
9. Establish Governance and Review Processes: Define who is responsible for data quality, dashboard maintenance, and regular review. Set up a process for continuous improvement and updating of metrics and visualisations. Regularly check that the dashboard remains relevant to evolving operational needs.
10. Act on Insights: Crucially, ensure there is a clear pathway for insights gained from the dashboard to translate into action, whether through daily operational huddles, weekly performance meetings, or dedicated quality improvement projects.

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

Example in clinical practice: Emergency Department flow

Consider an acute NHS Trust struggling with prolonged ED waiting times and frequent breaches of the 4-hour target. They decide to implement an ED patient flow dashboard.

Before Dashboard: Information was disparate – patient tracking in EDIS, bed availability on a separate system, and discharge information from ward rounds. ED staff often relied on verbal updates, leading to a fragmented picture.

Dashboard Implementation: A dashboard was developed integrating EDIS data, bed management system data (including current bed occupancy, predicted discharges, and availability by specialty), and live ward-based patient updates related to DTOC status.

Key Dashboard Metrics:

• Patients in ED (total, and by initial assessment/treatment stage)
• Median ED length of stay
• Patients awaiting admission (by specialty and duration)
• Available inpatient beds (by specialty)
• Total DTOC patients across the Trust, with reasons
• Ambulance handover delays

Impact:

• Morning Huddle: Daily ED and inpatient directorate huddles use the dashboard to review current pressures, identify patients awaiting admission, and plan discharges. This allows proactive communication between ED and inpatient teams.
• Resource Allocation: When the dashboard shows a rapid increase in ED attendances or patients awaiting admission, hospital at night teams can be deployed more effectively or additional discharge facilitation initiated.
• Bottleneck Identification: Consistent high numbers of patients awaiting specific specialty beds led to a review of consultant ward rounds and discharge planning for those specialties, revealing opportunities for earlier decision-making.
• Real-time Intervention: Alerts for upcoming 4-hour breaches allow nurses and doctors to prioritise patients and escalate concerns before targets are missed.
• QI Project Information: The dashboard provided baseline data and ongoing monitoring for a QI project focused on improving discharge times, demonstrating a reduction in average time patients waited for initial review post-admission plan.

How Lazomis can help

Lazomis offers tools that can support the development and review of patient flow dashboards. Our QI Project Setup tool can help structure the initial stages of defining objectives and KPIs for dashboard implementation, ensuring alignment with quality improvement principles. The Lazomis Data Visualisation Guide can provide insights into effective data presentation, helping you design clear and actionable dashboards. For teams looking to streamline data collection or develop proof-of-concept dashboards, our Customisable Data Capture Forms and basic Reporting Templates could be foundational.

While Lazomis does not build complex, integrated data dashboards directly, it provides a valuable ecosystem for teams to conceptualise, manage, and evaluate the impact of improvements driven by effective data visibility, ensuring that the insights derived from your flow dashboards translate into tangible benefits for patients and staff.