Recent research on medical communication discusses the role of argumentation in building physician-patient consensus to enhance
shared decision-making. This paper focuses on the potential of using argumentation to establish the preliminary step of shared
understanding of the diagnosis. This understanding is important in helping patients accept the disease and in increasing their
involvement in care. We conducted an in-depth analysis of an observation of a medical encounter, triangulated with interviews with
all participants, to illustrate how the lack of clear information and argumentation concerning the disease hindered the patient’s
understanding and acceptance of it. This in turn led to difficulties in building a trusting relationship and in reaching treatment
decisions. We discuss how using argumentation focused on the disease can allow a fruitful patient-centered discussion about the
medical condition and treatment options.
University medical school, I (OKM) have a dream to develop an effective, reproducible patent to help all health care professionals learn how to communicate well with patients. This is important, since effective interpersonal and CS are critical for high-quality health care. 1 Reading the title of a recent paper published in Medical Education, 'Machine learning to extract communication and history-taking skills in OSCE transcripts', 2 fuelled my hope that we are approaching a solution. Jani et al 2 have developed a thorough, extensive process that applies machine learning to label CS and interview content from interview transcripts. The machine provides each student with helpful graphs, for example, about the ratio of talk in different phases of the encounter, stringed questions, or the use of open-ended vs. closed-ended questions.
engage local leaders and influencers, provide broader health services, and build in gender considerations to establish trust between members of the public and the public health system.
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