sterile processing
sterile processing
By David Taylor III , MSN , RN , CNOR , and Kristina Pirollo-Ketchum , AA , CRCST , CHL
KPIs Spur Powerful Sterile Processing Department Improvement
Healthcare organizations across the U . S . are embracing performance monitoring and improving clinical outcomes through the measured approach of key performance indicators ( KPIs ). By leveraging the proper technologies , data can be leveraged to develop processes that optimize patient safety through real-time management and visibility of
Measuring and assessing achievements in the SPD is a combination of both art and science . KPI and data analysis are elements designed to track and measure work performance .” interdepartmental workflows — within the sterile processing department ( SPD ) and other procedural spaces such as the operating room ( OR ).
Measuring and assessing achievements in the SPD is a combination of both art and science . KPI and data analysis are elements designed to track and measure work performance . Specifically , KPIs refer to a set of quantifiable measurements used to gauge long-term performance and help determine strategic , financial and operational achievements over time , and then compare that performance to regulatory guidelines and standards and others within the profession . Having access to such quality information enhances the understanding of issues affecting the SPD and empowers the departmental team to make informed decisions . Moreover , data plays a vital role in achieving quality outcomes . When defining the metrics , it is important to gather and track specific data sets to guide data collection efforts .
SP leaders and their teams should :
Identify what to measure . Understanding what needs to be accomplished in one or more areas will help SP leaders determine the metrics that align with their departmental and customer goals and objectives . These could include productivity , daily throughput , number of sets processed per employee , error rates , inventory optimization , same-day instrument turnaround times , biological monitoring or sterilization cycle rates , equipment maintenance , documentation log completeness , and infection rates . Labor time studies that accurately predict staffing and capacity needs are also beneficial , allowing SP leaders to more accurately budget for all operational needs . KPIs should be selected and adapted to the department / facility to support the strategy and objectives , and they should be specific , measurable , achievable and relevant .
Choose the data collection methods . It is essential to select a technique for collecting data . Methods can include manual recording through observation , use of an automated electronic data gathering system ( software or cloud-based ), or a retrospective review of documents and records annotated on data-entry forms . Keep in mind , regardless of the method used , data collection must be consistent and accurate to ensure meaningful results . Finally , data must be entered in a timely fashion and reviewed throughout the process .
Secure education and training . It is critical to determine who will collect the data ( leader , staff member , outside entity ) and provide the proper training necessary for those who are a part of the process . SP leaders should also consider training staff on data collection procedures so they can be a part of the process and understand the end goal . Instructions on information gathering ( utilizing data collection tools and addressing challenges or queries ) is essential , and the SP team will also require instruction and training on data entry and analysis .
Lean on data management systems . Whether one enters data into an Excel spreadsheet or uses an electronic or cloud-based software system , it is imperative to adopt the right solution that can effectively analyze the department ’ s data and help support reliable solutions . There are many manufac-
KPI Data Examples for Various SPD Areas / Processes
Decontamination :
• Quality checks ( e . g ., tray completeness , accuracy )
• Throughput
• Instrument quality
• Tray weight
• Early release
• Cleaning logs
Sterilization :
• Equipment verification testing
• Load arrangement
• Documentation of load
• Biological testing
• Sterilization failures ( e . g ., time , temperature , pressure , wet loads )
• Rate of immediate use sterilization
• Cleaning logs
Storage area :
• Outdates
• Event-related issues
• Cleaning logs
• Temperature and humidity
Case cart builds :
• Number of carts completed per shift or 24-hour cycle
• Case cart accuracy
• Percentage of on-time case carts
28 september 2023 • www . healthcarehygienemagazine . com