More clinicians and researchers are exploring uses for large language model chatbots, such as ChatGPT, for research, dissemination, and educational purposes. Therefore, it becomes increasingly relevant to consider the full potential of this tool, including the special features that are currently available through the application programming interface. One of these features is a variable called temperature, which changes the degree to which randomness is involved in the model’s generated output. This is of particular interest to clinicians and researchers. By lowering this variable, one can generate more consistent outputs; by increasing it, one can receive more creative responses. For clinicians and researchers who are exploring these tools for a variety of tasks, the ability to tailor outputs to be less creative may be beneficial for work that demands consistency. Additionally, access to more creative text generation may enable scientific authors to describe their research in more general language and potentially connect with a broader public through social media. In this viewpoint, we present the temperature feature, discuss potential uses, and provide some examples.

Background: Experts consider goal-concordant care an important healthcare outcome for individuals with serious illness. Despite their relationship to the patient and knowledge about the patient’s wishes and values, little is known about bereaved family caregivers’ perceptions of how end-of-life care aligns with patient goals and preferences. Aim: To understand caregivers’ perceptions about patients’ care experiences, the extent to which care was perceived as goal-concordant, and the factors that contextualized the end-of-life care experience. Design: Qualitative interview study employing a semi-structured interview guide based on the National Health and Aging Trends Survey end-of-life planning module. Template analysis was used to identify themes. Setting/participants: Nineteen recently bereaved family caregivers of people with serious illness in two academic medical centers in the Northeastern United States. Results: Most caregivers reported goal-concordant care, though many also recalled experiences of goal discordance. Three themes characterized care perceptions and related to perceived quality: communication, relationships and humanistic care, and care transitions. Within communication, caregivers described the importance of clear communication, inadequate prognostic communication, and information gaps that undermined caregiver confidence in decision making. Patient-clinician relationships enriched care and were considered higher-quality when felt to be humanistic. Finally, care transitions impacted goal discordance when marked by logistical barriers, a need to establish relationships with new providers, inadequate information transfer, and poor care coordination. Conclusions: Bereaved caregivers commonly rated care as goal-concordant while also identifying areas of disappointing and low-quality care. Communication, relationships and humanistic care, and care transitions are modifiable quality improvement targets for patients with advanced cancer.

Brigitte Durieux, Joshua Davis, Philip Moons, Liesbet Van Bulck; How to get the most out of ChatGPT? Tips and tricks on prompting, European Journal of Cardiovas