#Leveraging language models to assess clinical decision-making #SharedDecisionMaking

192 Using large language models to evaluate the offer of options in clinical encounters by using a single item of observer option-5, a measure of shared decision-making - BMJ Evidence-Based Medicine

A study published in BMJ Evidence-Based Medicine explored the use of large language models to assess the quality of options presented in clinical encounters. The researchers used a single item observer measure called option-5 to evaluate shared decision-making. The study aimed to determine whether language models could accurately assess the quality of options presented to patients during medical consultations.

The researchers found that large language models were able to effectively evaluate the offer of options in clinical encounters using the option-5 measure. This suggests that these models have the potential to provide valuable insights into the shared decision-making process between healthcare providers and patients. By analyzing the language used in medical consultations, these models can help identify areas where improvements can be made to enhance patient involvement in decision-making.

Overall, the study highlights the potential of large language models to improve the quality of care provided to patients by facilitating shared decision-making in clinical encounters. By leveraging these models, healthcare providers can gain valuable insights into how options are presented to patients and make adjustments to ensure that patients are actively involved in the decision-making process. This research contributes to the growing body of evidence supporting the use of technology in healthcare to enhance patient-centered care.

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