Brian C. Gin, Olle ten Cate, Patricia S. O’Sullivan, Christy Boscardin
{"title":"通过认知和情感视角评估督导与受训人员对委托的观点:对反馈中的偏差进行人工智能调查。","authors":"Brian C. Gin, Olle ten Cate, Patricia S. O’Sullivan, Christy Boscardin","doi":"10.1007/s10459-024-10311-9","DOIUrl":null,"url":null,"abstract":"<div><p>The entrustment framework redirects assessment from considering only trainees’ competence to decision-making about their readiness to perform clinical tasks independently. Since trainees and supervisors both contribute to entrustment decisions, we examined the cognitive and affective factors that underly their negotiation of trust, and whether trainee demographic characteristics may bias them. Using a document analysis approach, we adapted large language models (LLMs) to examine feedback dialogs (N = 24,187, each with an associated entrustment rating) between medical student trainees and their clinical supervisors. We compared how trainees and supervisors differentially documented feedback dialogs about similar tasks by identifying qualitative themes and quantitatively assessing their correlation with entrustment ratings. Supervisors’ themes predominantly reflected skills related to patient presentations, while trainees’ themes were broader—including clinical performance and personal qualities. To examine affect, we trained an LLM to measure feedback sentiment. On average, trainees used more negative language (5.3% lower probability of positive sentiment, <i>p</i> < 0.05) compared to supervisors, while documenting higher entrustment ratings (+ 0.08 on a 1–4 scale, <i>p</i> < 0.05). We also found biases tied to demographic characteristics: trainees’ documentation reflected more positive sentiment in the case of male trainees (+ 1.3%, <i>p</i> < 0.05) and of trainees underrepresented in medicine (UIM) (+ 1.3%, <i>p</i> < 0.05). Entrustment ratings did not appear to reflect these biases, neither when documented by trainee nor supervisor. As such, bias appeared to influence the emotive language trainees used to document entrustment more than the degree of entrustment they experienced. Mitigating these biases is nonetheless important because they may affect trainees’ assimilation into their roles and formation of trusting relationships.</p></div>","PeriodicalId":50959,"journal":{"name":"Advances in Health Sciences Education","volume":"29 5","pages":"1571 - 1592"},"PeriodicalIF":3.0000,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10459-024-10311-9.pdf","citationCount":"0","resultStr":"{\"title\":\"Assessing supervisor versus trainee viewpoints of entrustment through cognitive and affective lenses: an artificial intelligence investigation of bias in feedback\",\"authors\":\"Brian C. 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Supervisors’ themes predominantly reflected skills related to patient presentations, while trainees’ themes were broader—including clinical performance and personal qualities. To examine affect, we trained an LLM to measure feedback sentiment. On average, trainees used more negative language (5.3% lower probability of positive sentiment, <i>p</i> < 0.05) compared to supervisors, while documenting higher entrustment ratings (+ 0.08 on a 1–4 scale, <i>p</i> < 0.05). We also found biases tied to demographic characteristics: trainees’ documentation reflected more positive sentiment in the case of male trainees (+ 1.3%, <i>p</i> < 0.05) and of trainees underrepresented in medicine (UIM) (+ 1.3%, <i>p</i> < 0.05). Entrustment ratings did not appear to reflect these biases, neither when documented by trainee nor supervisor. As such, bias appeared to influence the emotive language trainees used to document entrustment more than the degree of entrustment they experienced. 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Assessing supervisor versus trainee viewpoints of entrustment through cognitive and affective lenses: an artificial intelligence investigation of bias in feedback
The entrustment framework redirects assessment from considering only trainees’ competence to decision-making about their readiness to perform clinical tasks independently. Since trainees and supervisors both contribute to entrustment decisions, we examined the cognitive and affective factors that underly their negotiation of trust, and whether trainee demographic characteristics may bias them. Using a document analysis approach, we adapted large language models (LLMs) to examine feedback dialogs (N = 24,187, each with an associated entrustment rating) between medical student trainees and their clinical supervisors. We compared how trainees and supervisors differentially documented feedback dialogs about similar tasks by identifying qualitative themes and quantitatively assessing their correlation with entrustment ratings. Supervisors’ themes predominantly reflected skills related to patient presentations, while trainees’ themes were broader—including clinical performance and personal qualities. To examine affect, we trained an LLM to measure feedback sentiment. On average, trainees used more negative language (5.3% lower probability of positive sentiment, p < 0.05) compared to supervisors, while documenting higher entrustment ratings (+ 0.08 on a 1–4 scale, p < 0.05). We also found biases tied to demographic characteristics: trainees’ documentation reflected more positive sentiment in the case of male trainees (+ 1.3%, p < 0.05) and of trainees underrepresented in medicine (UIM) (+ 1.3%, p < 0.05). Entrustment ratings did not appear to reflect these biases, neither when documented by trainee nor supervisor. As such, bias appeared to influence the emotive language trainees used to document entrustment more than the degree of entrustment they experienced. Mitigating these biases is nonetheless important because they may affect trainees’ assimilation into their roles and formation of trusting relationships.
期刊介绍:
Advances in Health Sciences Education is a forum for scholarly and state-of-the art research into all aspects of health sciences education. It will publish empirical studies as well as discussions of theoretical issues and practical implications. The primary focus of the Journal is linking theory to practice, thus priority will be given to papers that have a sound theoretical basis and strong methodology.