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Last update: 20240919

Key performance indicators

To ensure that our research and clinical implementations are both effective and efficient, the precision medicine unit will track performance using a well-defined set of Key Performance Indicators (KPIs). These KPIs are carefully chosen to reflect crucial aspects of our operations, from data management to user engagement and compliance. We also aim to take the production burden off individuals and instead place it on the joint group effort to determine our own pace, remaining flexible to for worker satisfaction and development.

Our KPI framework includes the following metrics, each designed to provide insights into specific operational aspects:

  • Data Throughput: Measured by the total gigabytes (GB) of data processed weekly, this indicator helps assess our capacity to handle large-scale genomic datasets.

  • Turnaround Time: This KPI tracks the duration from sample receipt to the delivery of the report, crucial for evaluating our efficiency in processing and reporting.

  • Research Output: Annually quantified by the number of papers published and tools developed, reflecting our contribution to scientific knowledge and tool innovation.

  • Error Rate: This is calculated as the number of errors per 100 analyses, providing a clear measure of the precision and reliability of our data analyses.

  • User Satisfaction: Determined by averaging scores from user surveys, this metric gauges the satisfaction of clinical staff and researchers with our tools and reports.

  • Compliance: Measured by the percentage of successful compliance checks, this KPI ensures that our operations adhere to all relevant regulatory and ethical standards.

  • Cost Efficiency: This is evaluated by the cost per analysis or report, helping us monitor financial efficiency in our operations.

  • Training and Uptake: The percentage of cases using new tools measures the adoption rate of our latest methodologies and technologies, indicating the effectiveness of our training programs.