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Reply: Empathy in Action: Approach for Refugee Mental Health and Psychospiritual Support.
J Psychosoc Nurs Ment Health Serv
December 2024
Rush University College of Nursing, Chicago, Illinois.
Performance of Large Language Models in Patient Complaint Resolution: Web-Based Cross-Sectional Survey.
J Med Internet Res
August 2024
Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore.
Background: Patient complaints are a perennial challenge faced by health care institutions globally, requiring extensive time and effort from health care workers. Despite these efforts, patient dissatisfaction remains high. Recent studies on the use of large language models (LLMs) such as the GPT models developed by OpenAI in the health care sector have shown great promise, with the ability to provide more detailed and empathetic responses as compared to physicians.
View Article and Find Full Text PDFChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis.
J Neurol
July 2024
Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Via Pansini 5, 80131, Naples, Italy.
Article Synopsis
- A study was conducted to compare the empathy and satisfaction levels of people with Multiple Sclerosis (PwMS) towards responses from neurologists versus ChatGPT for common questions.
- The results showed that ChatGPT's responses were perceived as more empathetic than those from neurologists, although no significant difference in overall satisfaction was found.
- The study suggests that while AI like ChatGPT can enhance patient interactions, physicians need to adapt to digital advancements and guide patients in effectively using AI tools in healthcare.
Addressing Antivaccine Sentiment on Public Social Media Forums Through Web-Based Conversations Based on Motivational Interviewing Techniques: Observational Study.
JMIR Infodemiology
November 2023
Critica, Bronx, NY, United States.
Article Synopsis
- Health misinformation on social media can lead to serious health issues, but there's limited research on effective interventions to tackle it in real time.
- This study introduces infodemiologists, trained professionals applying evidence-based intervention techniques to counter misinformation about COVID-19 vaccines on Facebook.
- The research monitored interactions on posts with misinformation across three regions, evaluating the effectiveness of infodemiologists' interventions through engagement metrics like replies and reactions, using statistical methods to analyze the impact.
Machine-Made Empathy? Why Medicine Still Needs Humans-Reply.
JAMA Intern Med
November 2023
Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, La Jolla.
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