Achieving Reliability in Healthcare Systems: A Practical Guide

Introduction

Reliability in healthcare refers to the ability of a process, system, or service to perform its intended function consistently and predictably over time, without failure. In simple terms, it's about doing the right thing, in the right way, every single time. While perfection is unattainable, striving for high reliability is crucial in healthcare, where the consequences of failure can be severe.

Achieving high reliability requires a systematic approach, moving beyond individual vigilance to focus on system design. It involves understanding where failures can occur, designing processes to prevent them, and building in mechanisms to detect and mitigate errors when they do happen. This resource supports, but does not replace, clinical judgement. Local policy, formulary and specialist advice should be followed.

Why this topic matters

Patient safety incidents, while often multifactorial, frequently stem from unreliable processes. From medication errors and delayed diagnoses to surgical site infections and communication breakdowns, many adverse events can be traced back to systems that are not robust enough to withstand day-to-day pressures. The NHS, with its inherent complexities and high-stakes environment, benefits immensely from a focus on reliability.

Beyond direct patient harm, unreliable processes lead to inefficiencies, wasted resources, staff burnout, and a loss of public trust. Implementing reliability principles can lead to:

• Improved Patient Outcomes: Fewer errors, better adherence to best practice, and more consistent care delivery.
• Enhanced Staff Morale: Reduced stress from dealing with preventable errors, clearer processes, and a more supportive work environment.
• Operational Efficiency: Less rework, fewer delays, and better resource utilisation.
• Better Compliance: Easier adherence to national guidelines and regulatory requirements.
• Cost Savings: Reduced costs associated with adverse events, investigations, and remediation.

Practical explanation: What does reliability look like in healthcare?

Reliability is often categorised into different levels or types, moving from basic compliance to highly robust, error-resistant systems.

Types of Reliability

1. "Will do" reliability: This is the most basic level, where individuals intend to follow a process. It relies heavily on individual memory, vigilance, and training. It's often inconsistent.
2. "Should do" reliability: This level involves clear policies, procedures, and training. It assumes that if people know what to do, they will do it. However, it doesn't account for system pressures, fatigue, or variations.
3. "Can do" reliability: This is where systems are designed to make it easy to do the right thing and difficult to do the wrong thing. It incorporates human factors principles, standardisation, and error-proofing.
4. "Must do" reliability: The highest level, where the system is designed such that deviation from the desired process is almost impossible or immediately apparent. This often involves automation, forced functions, and strong physical or digital barriers to error.

Most healthcare processes operate at the "will do" or "should do" level, leaving them vulnerable. The goal is to move processes towards "can do" and "must do" reliability wherever possible.

Key Principles of High Reliability Organisations (HROs)

Healthcare can learn from industries like aviation or nuclear power that operate with exceptionally low error rates, often termed High Reliability Organisations. Key characteristics include:

• Preoccupation with failure: Actively seeking out and learning from small failures or near misses.
• Reluctance to simplify interpretations: Understanding that complex problems have complex causes, avoiding quick fixes.
• Sensitivity to operations: Maintaining a deep awareness of the current state of the system and frontline challenges.
• Commitment to resilience: Developing the capacity to absorb disruptions and recover from errors quickly.
• Deference to expertise: Valuing the insights of those with direct experience, regardless of their position in the hierarchy.

Common pitfalls in achieving reliability

Teams often encounter several hurdles when trying to improve reliability:

• Over-reliance on individual vigilance: Expecting staff to simply "be more careful" without addressing systemic issues.
• Lack of standardisation: Variability in processes, documentation, and equipment leading to inconsistent outcomes.
• Poor communication: Ineffective handover, siloed working, and unclear roles can all compromise reliability.
• Ignoring 'near misses': Not learning from minor errors or close calls, which are valuable opportunities for system improvement.
• Complexity creep: Overly complicated processes that are difficult to follow consistently, especially under pressure.
• Insufficient resources: Lack of time, staff, or appropriate tools to implement reliable processes.
• Culture of blame: A culture where errors are punished rather than analysed for system weaknesses, discouraging reporting.

Step-by-step approach to improving reliability

Improving reliability is an ongoing journey that often mirrors quality improvement methodologies. Here's a structured approach:

1. Define the process and desired outcome: Clearly identify the specific process you want to make more reliable (e.g., medication administration, patient handover, diagnostic pathway). Define what a successful, reliable outcome looks like.
2. Map the current process: Use process mapping tools (e.g., flowcharts) to understand how the process actually works, not just how it's supposed to work. Involve frontline staff.
3. Identify failure points and risks: Conduct a risk assessment. Where can things go wrong? What are the potential causes of error? Consider tools like Failure Mode and Effects Analysis (FMEA) or root cause analysis for past incidents.
4. Design for reliability (Implement solutions): Based on identified risks, implement interventions. Think about:
   • Standardisation: Clear, evidence-based protocols, checklists, and templates.
   • Simplification: Remove unnecessary steps or complexity.
   • Error-proofing (Poka-Yoke): Design the system to prevent errors (e.g., specific drug packaging, mandatory fields in electronic systems).
   • Automation: Where appropriate, use technology to reduce human variability (e.g., automated alerts).
   • Forced functions/Barriers: Make it impossible or very difficult to bypass critical steps.
   • Redundancy: Build in backup systems or checks for critical steps.
   • Visual cues: Use clear signage, colour-coding, or labels to guide actions.
   • Communication strategies: Standardised handover tools (e.g., SBAR), closed-loop communication.
5. Test and refine: Implement changes on a small scale (PDSA cycles). Collect data to see if the changes are having the desired effect on reliability. Be prepared to adapt and refine.
6. Sustain and monitor: Once improvements are effective, embed them into routine practice. Develop ongoing monitoring systems (e.g., audits, dashboards) to ensure reliability is maintained. Provide ongoing training and review processes periodically.

Example in clinical practice: Improving medication administration reliability on a ward

Problem: Frequent medication errors (omissions, wrong dose, wrong time) reported on a busy medical ward.

1. Define process & outcome: Improve the reliability of medication administration from prescription to patient. Desired outcome: 98% of medications administered correctly as prescribed.

2. Map current process: Team maps the process: prescribing (EPR), pharmacist review, dispensing, nurse checking, administration, documentation. They identify points of variation (e.g., where drugs are stored, how checks are done).

3. Identify failure points/risks: * Distractions during preparation/administration. * Look-alike/sound-alike drugs stored together. * Lack of double-checking for high-risk medications. * Workload pressures leading to rushed administration. * Incomplete documentation causing confusion.

4. Design for reliability (solutions): * Standardisation: Implement a "medication round protected time" policy. Standardise the high-risk medication double-check procedure with clear documentation. * Error-proofing: Re-organise drug trolleys to separate look-alike drugs. Implement barcode scanning for medication administration (if available). * Visual cues: Use clear labels for patient-specific medication drawers. Introduce high-visibility vests for nurses administering medication to signal "do not disturb." * Simplification: Streamline documentation on the Electronic Prescribing and Medicines Administration (EPMA) system.

5. Test and refine: Pilot the changes on one bay for two weeks. Collect data on errors and staff feedback. Discover that vests are sometimes forgotten, leading to a refinement to store them with the drug trolley. Adjust the protected time to align with ward staffing.

6. Sustain and monitor: Roll out to the entire ward. Conduct weekly audits of medication administration compliance for the first month, then monthly. Monitor incident reports related to medication errors. Provide refresher training during ward meetings.

How Lazomis can help

Lazomis provides a suite of tools that can support your reliability improvement efforts, from initial problem identification to sustaining change:

• QI Project Setup: Structure your reliability initiatives using our guided project templates, ensuring all stages from defining the problem to monitoring impact are covered.
• Data Collection & Dashboards: Systematically collect data on process adherence and outcomes. Our dashboards can visualise compliance rates, error trends, and the impact of your interventions over time, helping you monitor reliability.
• Process Mapping Tools: Use digital tools to map your current processes, identify bottlenecks, and visualise potential failure points, making it easier to design reliable systems.
• Knowledge Library: Access further resources and examples of successful reliability projects implemented across the NHS, providing inspiration and practical guidance.

By centralising your project documentation, data, and communication, Lazomis helps teams work together more effectively to build and maintain reliable healthcare processes.

Key takeaways

• Reliability is about consistently performing processes correctly to prevent errors and improve safety.
• Moving from "will do" to "can do" or "must do" reliability involves systematic process design, not just individual vigilance.
• Learn from High Reliability Organisations by cultivating a preoccupation with failure and a commitment to resilience.
• Common pitfalls include over-reliance on individuals and ignoring near misses.
• A structured approach (define, map, identify, design, test, sustain) is essential for effective reliability improvement.
• Lazomis tools can support each stage of your reliability journey, from project setup to ongoing monitoring and data visualisation.