Webinar: From pharmacogenetics to treatment recommendations – usefulness in clinical practice
Pharmacogenetics is an important part of precision medicine and can contribute to more personalised drug treatment. But how are genetic analyses used in practice, and what role can pharmacists play in this work? In this webinar, you will gain an insight into how pharmacogenetic test results are translated into clinical advice.
Precision medicine is about providing treatment tailored to the individual patient. Genetics, age and organ function influence how medicines are metabolised and the effects they have. At the same time, it can be challenging for clinicians to keep abreast of new findings and an increasing number of patient-specific considerations.
At Diakonhjemmet Hospital, pharmacogenetic analyses are used systematically as part of clinical decision support. The department receives around 20,000 requests from referring clinicians each year. The workflow ranges from the analysis of patient samples and recording of results in laboratory systems to the interpretation of findings and the provision of specific advice to the treating doctor.
Behind this guidance lies extensive work to collate, organise and update medical knowledge. Clinical decision support can help link patient information with up-to-date specialist knowledge, and provide recommendations that support the clinician’s assessments.
In this webinar, you will gain an insight into how pharmacogenetic knowledge can be applied in clinical practice, and how experiences from day-to-day healthcare can help to develop better decision-making support. The presentation will also explore how pharmacists can contribute to research and development in the field of precision medicine.
Presentation by Inger Mette Opstad Gustavsen, Enterprise Architect at Sykehuspartner HF, and Tore Haslemo, Head of Department at the Centre for Psychopharmacology, Diakonhjemmet Hospital.
Recording
You can download the podcast to your mobile phone on Apple Podcasts, Spotify or Podbean. Search for ‘Norwegian Centre for E-health Research’.
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