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P025 Automation and optimization strategies in a molecular lab result in an improved workflow for STI surveillance studies
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  1. Carsten Tiemann1,
  2. Gyde Steffen2,
  3. Ann-Kathrin Schuppe3,
  4. Viviane Bremer2,
  5. Klaus Jansen4
  1. 1Krone Laboratory/LABCON-OWL, Molecular Diagnostics, Bad Salzuflen, Germany
  2. 2Robert Koch Institute, Berlin, Germany
  3. 3Krone Laboratory, Bad Salzuflen, Germany
  4. 4Robert Koch Institute, Infectious Disease Epidemiology, Berlin, Germany

Abstract

Background Clinical types of specimen as well as rising sample numbers during a STI studies, pose a challenge to the capability of the lab. Workflow optimization and automation strategies are crucial to enable high throughput investigations with a maximum of efficiency if diagnostic data have to be combined with additional information content.

Methods In our molecular laboratory we have established an optimized the sample management, automated extraction and detection protocols using the Panther® instrument, bidirectional order entry and reporting setting followed by a digital archiving and data management procedure. The workflow combines self-sampling from different anatomical sites, automated data input and sample management including LIS based registration of the sample tubes. The Panther® protocol combines target detection of different STI pathogens. The results are transferred directly into the LIS for validation and reporting. The sample tubes are archived including an electronic place marker for subsequent investigation.

Results The workflow enables us to proceed up to 600 samples in a 10 hours working day. We handle 250–500 samples per day. During the German MSM screening study 2018 we investigated 6900 additional samples resulting in 27600 analytical data points and more than 300.000 sociodemographic information within 3 month. Analytical result data were continuously linked to collected questionnaire information on sociodemographics (e.g. clinical symptoms, sexual behavior, PrEP-use, etc.). Result reports were delivered every day and cumulative data sets were exported from LIS for epidemiological evaluation every week.

Conclusion We have adapted a workflow for laboratory requirements of epidemiologic STI studies. This is essential for efficient data management processes. By integrating molecular instruments into a combined sample management process automation has become a fundamental principle in laboratory processes but is also indispensable for conducting STI investigations. We have already implemented the process successfully during the ‘MSM Screening Study 2018’ and the ongoing ‘BRAHMS-Study 2018’.

Disclosure No significant relationships.

  • surveillance
  • diagnosis

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