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Identifying and mitigating cognitive biases in cancer multidisciplinary teams

20 September 2024, 1:00 pm–2:00 pm

seminar-speaker

Event Information

Open to

All

Organiser

Jeremy Opie

Multidisciplinary team (MDT) meetings are a critical point in the cancer care pathway in the UK, representing the only routine opportunity for a comprehensive multispecialty patient case review. The application of human factors in the measurement and enhancement of performance within this segment of the care pathway in the NHS, is limited. This talk will explore decision-making efficiency in MDTs through a distributed cognition lens, focusing on the transformation of information in the MDT environment. Specifically, the speakerÌýwill discuss how cognitive bias occurrence, aÌý±è´Ç³Ù±ð²Ô³Ù¾±²¹±ôÌýsource of inefficiency in care, can be understood as distributed through the MDT system. Then, she will examine technological debiasing strategies - where ‘technology’ comprises more than digital technology - and discuss their potential to enhance performance. Finally, the speakerÌýwill outline herÌýplans for testing social network analysis of MDT video data as a tool for characterising, visualising and measuring collaborative decision processes in MDTs.

This event is also available for remote-joing through Zoom:

Meeting ID: 984 9136 8985Ìý Ìý Ìý Ìý Ìý ÌýPasscode: 455790

About the Speaker

Harini Dharanikota

at University of Edinburgh

Harini Dharanikota is a Psychologist and final year PhD candidate in the Surgical Sabermetrics Laboratory at the Centre for Medical Informatics, University of Edinburgh. Her doctoral research examines cognitive and collaborative processes in multidisciplinary team meetings for cancer care, with an emphasis on the role of cognitive biases on care efficiency and tailoring performance environments to human behaviour. Prior to the PhD, HariniÌýreceived a master’s degree in Psychological Research from the University of Edinburgh.

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