These metrics help laboratories in maintaining high standards of practice, ensuring reliability of diagnostic information, and enhancing patient care. KPIs support continuous improvement in laboratory processes and compliance with health and safety standards. They are essential for laboratories to gain and retain accreditation and trust in the medical community.
KPI |
Definition
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Business Insights [?]
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Measurement Approach
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Standard Formula
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Accreditation Audit Non-conformity Rate More Details |
The number of non-conformities found during accreditation audits, which can indicate the overall compliance with ISO 15189 standards.
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Identifies the frequency of non-conformity issues during accreditation audits, signifying areas for improvement in compliance.
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Considers the number of non-conformities found versus the number of audits conducted.
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(Number of Non-conformities / Number of Audits Conducted) * 100
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- An increasing non-conformity rate may indicate a decline in compliance with ISO 15189 standards or a more rigorous audit process.
- A decreasing rate could signal improved adherence to standards or more effective corrective actions taken after previous audits.
- Are there specific areas or processes within the organization that consistently result in non-conformities during audits?
- How do our non-conformity rates compare with industry benchmarks or with previous audit cycles?
- Implement regular internal audits to identify and address potential non-conformities before accreditation audits.
- Provide ongoing staff training and education on ISO 15189 standards and compliance requirements.
- Establish a robust corrective action process to address non-conformities identified during audits.
Visualization Suggestions [?]
- Line charts showing the trend of non-conformity rates over time.
- Pareto charts to identify the most common types of non-conformities and prioritize corrective actions.
- High non-conformity rates can jeopardize the organization's accreditation status and reputation.
- Chronic non-conformities may indicate systemic issues that could impact the quality and reliability of laboratory results.
- Quality management software like Q-Pulse or MasterControl for tracking and managing non-conformities and corrective actions.
- Document management systems to ensure easy access to updated procedures and standards.
- Integrate non-conformity data with quality control processes to identify potential areas for improvement.
- Link non-conformity tracking with staff training and competency assessment systems to address knowledge gaps.
- Reducing non-conformity rates can enhance the reliability and accuracy of laboratory testing, improving patient care outcomes.
- However, increased focus on compliance may require additional resources and time, potentially impacting operational efficiency.
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Audit Closure Time More Details |
The time taken to close findings from internal or external audits, reflecting the lab's responsiveness to compliance issues.
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Insight into the efficiency of the organization's audit process and the responsiveness to identified issues.
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The time taken to close an audit from the date it is opened.
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(Total Time to Close All Audits / Number of Audits Closed) in a given period
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- A decreasing audit closure time may indicate improved responsiveness to compliance issues and more efficient internal processes.
- An increasing closure time could signal a lack of attention to compliance issues or bottlenecks in the corrective action process.
- Are there recurring findings from audits that consistently take longer to close?
- How does our audit closure time compare with industry benchmarks or regulatory requirements?
- Implement a structured corrective action process with clear responsibilities and deadlines.
- Regularly review and prioritize findings to ensure timely closure of high-risk issues.
- Invest in training and resources to address common compliance issues more effectively.
Visualization Suggestions [?]
- Line charts showing the average time to close findings over time.
- Pareto charts to identify the most frequent types of findings and their closure times.
- Delayed closure of audit findings can lead to non-compliance with regulations and standards, risking accreditation or legal consequences.
- Consistently high closure times may indicate systemic issues in the lab's quality management system.
- Quality management software like Q-Pulse or MasterControl for tracking and managing audit findings and corrective actions.
- Project management tools such as Trello or Asana for task assignment and progress tracking.
- Integrate audit closure time tracking with performance evaluations to incentivize timely resolution of findings.
- Link with document management systems to ensure all necessary evidence and documentation are readily available for audit closure.
- Reducing audit closure time can improve overall compliance and regulatory adherence, enhancing the lab's reputation and trustworthiness.
- However, a focus solely on speed may compromise the thoroughness and effectiveness of corrective actions, potentially leading to recurring issues.
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Automation Integration Level More Details |
The degree to which laboratory processes are automated, aiming to increase efficiency, reduce errors, and improve turnaround times.
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Reveals the efficiency of laboratory operations and potential for reducing manual errors and turnaround time.
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The extent of laboratory automation, including pre-analytical, analytical, and post-analytical processes.
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(Number of Automated Processes / Total Number of Processes) * 100
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- An increasing automation integration level may indicate a positive trend towards more efficient and error-free laboratory processes.
- A decreasing level could signal potential issues with the implementation or maintenance of automation systems, leading to negative performance shifts.
- How extensively are laboratory processes currently automated, and where are the potential areas for further automation?
- What are the key factors influencing the level of automation integration, and how can they be optimized to improve performance?
- Regularly assess and update automation systems to ensure they are aligned with current laboratory needs and technological advancements.
- Invest in training and upskilling staff to effectively utilize and maintain automated equipment and processes.
- Implement continuous improvement initiatives to identify and address any bottlenecks or inefficiencies in the automation integration level.
Visualization Suggestions [?]
- Line charts showing the progression of automation integration level over time.
- Comparative bar graphs displaying the automation integration level across different laboratory processes or departments.
- Insufficient automation integration may lead to increased errors, longer turnaround times, and reduced efficiency in laboratory operations.
- Over-reliance on automation without proper maintenance and oversight can result in system failures and compromised quality of results.
- Laboratory information management systems (LIMS) to track and manage automated processes and data.
- Robotic process automation (RPA) tools for automating repetitive tasks and workflows within the laboratory.
- Integrate automation integration level data with quality management systems to ensure that automated processes meet regulatory and quality standards.
- Link automation integration with performance management systems to align automation efforts with overall laboratory performance goals.
- Increasing automation integration can lead to improved efficiency, reduced turnaround times, and potentially lower operational costs.
- However, over-reliance on automation may impact the skill development of laboratory staff and could potentially reduce the adaptability of the laboratory to changing requirements.
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CORE BENEFITS
- 88 KPIs under ISO 15189
- 15,468 total KPIs (and growing)
- 328 total KPI groups
- 75 industry-specific KPI groups
- 12 attributes per KPI
- Full access (no viewing limits or restrictions)
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Average Cost per Test More Details |
The average cost incurred for performing each laboratory test, reflecting the efficiency and cost-effectiveness of laboratory operations.
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Helps determine the profitability of tests and identify opportunities for cost reduction.
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Includes direct costs like reagents, labor, and instrument depreciation, and indirect costs such as overhead.
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(Total Costs associated with performing tests / Total Number of Tests performed)
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- An increasing Average Cost per Test may indicate rising material costs, inefficiencies in laboratory operations, or outdated equipment requiring more maintenance.
- A decreasing trend can signal improvements in operational efficiency, better procurement strategies, or successful implementation of cost-saving technologies.
- What are the primary factors contributing to the current Average Cost per Test, and how do they compare to industry benchmarks?
- How do changes in test volume affect the Average Cost per Test, and are there economies of scale at play?
- What proportion of the cost is fixed versus variable, and how does this impact the ability to reduce costs?
- Implement lean laboratory principles to streamline operations, reduce waste, and improve efficiency.
- Negotiate better terms with suppliers or explore group purchasing options to reduce the cost of reagents and supplies.
- Invest in automation and advanced laboratory information systems (LIS) to reduce manual errors and operational costs.
Visualization Suggestions [?]
- Line graphs showing the trend of Average Cost per Test over time to identify patterns and the impact of implemented changes.
- Pie charts to break down the components of the cost (e.g., labor, materials, overhead) to identify areas for potential savings.
- A continuous increase in the Average Cost per Test without corresponding improvements in quality or efficiency could erode competitive advantage.
- Excessive cost-cutting measures might compromise test quality, leading to inaccurate results and potential reputational damage.
- Laboratory Information Management Systems (LIMS) for efficient test management and cost tracking.
- Cost analysis software to identify and analyze the drivers of laboratory costs and potential areas for savings.
- Integrate cost management strategies with quality management systems to ensure cost reductions do not compromise test accuracy or reliability.
- Link financial reporting systems with laboratory operations to provide real-time insights into cost performance and facilitate data-driven decision-making.
- Reducing the Average Cost per Test can increase the laboratory's competitiveness but requires careful management to ensure quality is not compromised.
- Operational changes to reduce costs may initially disrupt workflow and require staff retraining to adapt to new processes or technologies.
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Average Time to Proficiency for New Employees More Details |
The average amount of time it takes for new employees to reach proficiency in their roles, indicating the effectiveness of the training program.
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Indicates the effectiveness of the onboarding process and training programs.
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Measures the average duration of time it takes for new employees to reach proficiency in their roles.
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Sum of Time to Proficiency for All New Employees / Number of New Employees
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- An increasing average time to proficiency may indicate that the training materials or methods are outdated or not aligned with employee needs.
- A decreasing trend suggests that the training program is becoming more effective, possibly due to improvements in training techniques or better alignment with job requirements.
- How does the current average time to proficiency compare with previous periods or industry benchmarks?
- Are there specific roles or departments where the time to proficiency is significantly higher or lower?
- What feedback have new employees provided about the training process and its relevance to their job functions?
- Implement a mentorship or buddy system where new employees are paired with experienced staff to facilitate on-the-job learning.
- Regularly update training materials and methods to incorporate the latest industry standards and technologies.
- Use a blended learning approach that combines online training, hands-on practice, and classroom learning to cater to different learning styles.
Visualization Suggestions [?]
- Line graphs showing the trend of average time to proficiency over time, highlighting any significant changes or improvements.
- Bar charts comparing the average time to proficiency across different departments or roles within the organization.
- Extended time to proficiency can lead to delays in project completion and increased costs due to longer training periods.
- If the time to proficiency is significantly longer than industry standards, it may indicate inefficiencies in the training program or misalignment with job requirements.
- Learning Management Systems (LMS) like Moodle or TalentLMS to deliver, track, and manage training activities.
- Performance management software to monitor employee progress and identify areas where additional training may be needed.
- Integrate the KPI with human resources information systems (HRIS) to track employee progress from onboarding through to proficiency.
- Link training program outcomes with performance management systems to assess the impact of training on job performance.
- Reducing the average time to proficiency can accelerate the contribution of new employees to organizational goals but may require upfront investment in more intensive or technologically advanced training methods.
- Improvements in this KPI can lead to higher employee satisfaction and retention rates, as employees feel more competent and valued in their roles.
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Biobanking Specimen Integrity Rate More Details |
The percentage of biobanked specimens that maintain integrity over time, indicating the quality of biobanking practices.
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Indicate the effectiveness of biobanking procedures in preserving specimen quality over time.
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Percentage of samples maintained with integrity versus total samples stored.
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(Number of Intact Specimens / Total Number of Specimens) * 100
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- Increasing specimen integrity rate may indicate improved biobanking practices and quality control measures.
- A decreasing rate could signal issues with sample handling, storage, or retrieval processes.
- Are there specific types of specimens that are more prone to integrity issues?
- How does our specimen integrity rate compare with industry standards or best practices?
- Implement regular quality control checks and audits of biobanking processes.
- Invest in training and education for staff involved in specimen handling and storage.
- Utilize advanced storage technologies such as automated freezers and tracking systems to minimize specimen degradation.
Visualization Suggestions [?]
- Line charts showing the trend of specimen integrity rate over time.
- Pie charts to visualize the distribution of integrity rates across different specimen types.
- Low specimen integrity rates can compromise research and diagnostic outcomes, leading to inaccurate results.
- Consistently high rates of specimen integrity issues may indicate systemic problems in biobanking processes that need to be addressed.
- Biobanking management software to track and monitor specimen integrity over time.
- Automated sample handling and storage systems to minimize human error and maintain specimen quality.
- Integrate specimen integrity rate tracking with laboratory information management systems (LIMS) for seamless data management and analysis.
- Link specimen integrity data with research project management systems to ensure high-quality sample selection for studies.
- Improving specimen integrity rate can enhance the reliability and reproducibility of research findings and diagnostic tests.
- On the other hand, a decline in integrity rate can lead to wasted resources and compromised research outcomes.
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In selecting the most appropriate ISO 15189 KPIs from our KPI Library for your organizational situation, keep in mind the following guiding principles:
It is also important to remember that the only constant is change—strategies evolve, markets experience disruptions, and organizational environments also change over time. Thus, in an ever-evolving business landscape, what was relevant yesterday may not be today, and this principle applies directly to KPIs. We should follow these guiding principles to ensure our KPIs are maintained properly:
By systematically reviewing and adjusting our ISO 15189 KPIs, we can ensure that your organization's decision-making is always supported by the most relevant and actionable data, keeping the organization agile and aligned with its evolving strategic objectives.