Learning mechanisms and outcomes of an interprofessional molecular pathology workshop for residents.

The developments in targeted therapies and molecular pathology have changed the classification of tumors and precision oncology. Pathologists and clinical scientists in molecular pathology and oncologists have regular multidisciplinary meetings and are responsible for translating molecular results into an appropriate treatment plan. This requires expertise and skills to be effective team players. Interprofessional collaboration (IPC) is essential for professionals in medicine; however, learning opportunities in current resident training are limited. This narrative study explores the collaborative output and learning mechanisms of interprofessional learning (IPL) of residents of different disciplines in the Morphology & Molecular ^PLUS workshop and its preparation. Topics that were discussed in the workshop were technologies for the detection of mutations, copy number variations, tumor mutational burden, and circulating tumor DNA (ctDNA) analysis in the context of differential diagnosis and precision oncology. Data were collected by analyzing pre- and post-workshop questionnaires and interviews. An interprofessional team of three residents of each hospital had to be formed by one of the residents, which was challenging as not all residents from a hospital knew each other. Residents reported to have got to know each other and have learned about each other's roles and perspectives. They gained knowledge of molecular pathology and the added value of IPC, in particular, for residents early in their training. Enabling meetings for medical residents of different disciplines to get acquainted was perceived as the most facilitating factor for IPL. Time constraints as the biggest barrier in daily practice. We recommend offering IPL activities as early as possible in residency programs.
Competing Interests: The authors report no conflicts of interest, no disclosures. The authors alone are responsible for the content and writing of this article.
(© 2022 The Author(s).)