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Modern solutions: Is a Chatbot System for Reporting Medical Device Issues a Promising Alternative to Currently Used Form Systems?

Hristova, M. (2023) Modern solutions: Is a Chatbot System for Reporting Medical Device Issues a Promising Alternative to Currently Used Form Systems?

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Abstract:Introduction. This work explores the possibility of utilizing chatbots, powered by natural language processing (NLP), as systems for support during the error-prone task of reporting adverse events (AEs) with medical products. It emphasises the importance of involving of healthcare professionals and patients in reporting AEs to enhance detection rates and address the low levels of incident reports being submitted for review. The present work supports the feasibility of further research into the topic of developing a chatbot-based substitute of the system. Method. Using the UK system known as the Yellow Card (YC) system as a base two new systems were derived for testing the assumptions of the study. In collaboration with other researchers from the Imperial College of London a fill-in form system was developed additional to a brand new chatbot-based system. A between-subject experiment to compare the usability and information-gathering capabilities of the two system versions was carried out. Results and Discussion. The paper concludes that using a chatbot system has the potential to address existing issues in pharmacovigilance, namely the low reporting rate and the possible loss of information when incidents are reported, and therefore lead to improvements in the reporting of medical incidents. However further research on the topic is encouraged to confirm the feasibility.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/97739
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