The aim of Martine’s research is to understand and improve doctors’ decision making. She investigates the cognitive biases that can lead to misdiagnosis and mismanagement of patients, and whether “decision support” (AI-based decision aids) can mitigate these. She is also interested in how patients respond to the use of such tools during the consultation.
et al., 2022, Recommendations for the recognition, diagnosis, and management of long COVID response, British Journal of General Practice, Vol:72, ISSN:0960-1643, Pages:259-260
Kostopoulou O, Nurek M, Delaney B, 2020, Disentangling the relationship between physician and organizational performance: a signal detection approach, Medical Decision Making, Vol:40, ISSN:0272-989X, Pages:746-755
Nurek M, Delaney BC, Kostopoulou O, 2020, Risk assessment and antibiotic prescribing decisions in children presenting to UK primary care with cough: a vignette study, Bmj Open, Vol:10, ISSN:2044-6055
et al., 2019, Referral decision making of General Practitioners: a signal detection study, Medical Decision Making, Vol:39, ISSN:0272-989X, Pages:21-31
et al., 2015, Reducing diagnostic errors in primary care. A systematic meta-review of computerized diagnostic decision support systems by the LINNEAUS collaboration on patient safety in primary care, European Journal of General Practice, Vol:21, ISSN:1751-1402, Pages:8-13
Nurek M, Kostopoulou O, Hagmayer Y, 2014, Predecisional information distortion in physicians’ diagnostic judgments: Strengthening a leading hypothesis or weakening its competitor?, Judgment and Decision Making, Vol:9, ISSN:1930-2975, Pages:572-585