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Guidelines for Rapport-Building in Telehealth Videoconferencing: Interprofessional e-Delphi Study

Guidelines for Rapport-Building in Telehealth Videoconferencing: Interprofessional e-Delphi Study

A mixed methods study by Elsevier Health that included 3000 nurses and doctors found that over half believed telehealth would negatively impact their ability to demonstrate empathy and requested further guidance on interpersonal skills in VV [12]. Studies show that not all interpersonal skills are interchangeable between in-person and VV [2,13] and that adapting skills for VV often does not come naturally but can be learned [14,15].

Paula D Koppel, Jennie C De Gagne, Michelle Webb, Denise M Nepveux, Janelle Bludorn, Aviva Emmons, Paige S Randall, Neil S Prose

JMIR Med Educ 2025;11:e76260

Patient and Practitioner Perspectives on the Definition and Measurement of Therapeutic Empathy: Qualitative Study

Patient and Practitioner Perspectives on the Definition and Measurement of Therapeutic Empathy: Qualitative Study

Given that the measurement of a concept is contingent on its definition [32], our analytic narrative considers the definition and measurement of therapeutic empathy together. Participant characteristics. a PTCR: patient or carer. b HCP: health care practitioner. Participants defined therapeutic empathy as the empathy expressed by practitioners toward patients.

Amber Bennett-Weston, Jeremy Howick

J Particip Med 2025;17:e71610

Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study

Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study

Furthermore, CPX allows for the assessment of nontechnical skills, such as empathy, which is difficult to evaluate through conventional examination-based scenarios [18]. This ability to observe both technical and interpersonal skills offers a more comprehensive approach, aligning closely with the complex demands of emergency medicine practice.

ChulHyoung Park, Min Ho An, Gyubeom Hwang, Rae Woong Park, Juho An

JMIR Med Inform 2025;13:e68409

Supporting Web-Based Teaching and Learning of Virtual Care Skills and Competencies: Development of an Evidence-Informed Framework

Supporting Web-Based Teaching and Learning of Virtual Care Skills and Competencies: Development of an Evidence-Informed Framework

Nurturing psychological safety and expressing empathy during virtual care delivery can contribute significantly to clients feeling comfortable and at ease throughout the care process. Proficiency in technology is vital for delivering virtual care. Students must acquire the skills and confidence to navigate diverse virtual care technology platforms.

Lorelli Nowell, Sara Dolan, Sonja Johnston, Michele Jacobsen, Diane L Lorenzetti, Elizabeth Oddone Paolucci

JMIR Nursing 2025;8:e75868

Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation

Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation

Empathy is defined as experiencing the emotions (emotional empathy) and cognitions (cognitive empathy) of others and responding to them appropriately [1]. Empathy is especially important for patient care, where the lived experience of the patient must be understood by responding health care professionals, while also conveying this understanding in conjunction with a desire to help the patient [2].

Ruvini Sanjeewa, Ravi Iyer, Pragalathan Apputhurai, Nilmini Wickramasinghe, Denny Meyer

JMIR Form Res 2025;9:e67835

Advancing Clinical Chatbot Validation Using AI-Powered Evaluation With a New 3-Bot Evaluation System: Instrument Validation Study

Advancing Clinical Chatbot Validation Using AI-Powered Evaluation With a New 3-Bot Evaluation System: Instrument Validation Study

For the patient-education bot, the following five criteria (maximum score: 15) were used: (1) medical information accuracy, (2) clarity and simplicity of explanations, (3) expressions of empathy and warmth, (4) explanation of purpose or importance of procedures, and (5) adherence to professional role boundaries.

Seungheon Choo, Suyoung Yoo, Kumiko Endo, Bao Truong, Meong Hi Son

JMIR Nursing 2025;8:e63058

Exploring Nursing Students’ Experiences of Empathy and User Experiences in an Immersive Virtual Reality Simulation Game: Cross-Sectional Study

Exploring Nursing Students’ Experiences of Empathy and User Experiences in an Immersive Virtual Reality Simulation Game: Cross-Sectional Study

Empathy is a key factor in quality of care and patient-centered care [1]. Greater empathy is associated with better clinical outcomes and patient-care experiences [2]. Empathy is an innate characteristic of the individual, and it is dynamic, constantly evolving, and built under the influence of various personal and environmental factors [3]. Empathy can be considered to include 3 dimensions: affective, cognitive, and behavioral [4,5].

Jaana-Maija Koivisto, Sanna Kämäräinen, Katri Mattsson, Satu Jumisko-Pyykkö, Riikka Ikonen, Elina Haavisto

JMIR Serious Games 2025;13:e62688

Impact of a Virtual Reality Intervention on Stigma, Empathy, and Attitudes Toward Patients With Psychotic Disorders Among Mental Health Care Professionals: Randomized Controlled Trial

Impact of a Virtual Reality Intervention on Stigma, Empathy, and Attitudes Toward Patients With Psychotic Disorders Among Mental Health Care Professionals: Randomized Controlled Trial

Of note, better attitudes and empathy of health care staff toward patients with psychotic disorders have been associated with better patient well-being, quality of patient care, and treatment outcomes [4-6]. In turn, attitude and empathy levels can also be influenced by the level of stigma [7]. Stigma has been commonly associated with psychotic disorders [8].

Jing Ling Tay, Yuanrong Qu, Lucas Lim, Rohan Puthran, Chye Lee Robert Tan, Rajkirren Rajendran, Ker Chiah Wei, Huiting Xie, Kang Sim

JMIR Ment Health 2025;12:e66925

Large Language Models and Empathy: Systematic Review

Large Language Models and Empathy: Systematic Review

Lee et al [38] used Chain-of-Empathy prompting to reason emotion and situational factors that may assist the model to infer the emotional experience. They evaluated GPT-3.5 and compared 4 unique prompts that used Chain-of-Empathy in generating empathetic responses to Reddit posts. The Chain-of-Empathy strategy resulted in improved the model’s empathy expression [38].

Vera Sorin, Dana Brin, Yiftach Barash, Eli Konen, Alexander Charney, Girish Nadkarni, Eyal Klang

J Med Internet Res 2024;26:e52597

Optimizing Compassion Training in Medical Trainees Using an Adjunct mHealth App: A Preliminary Single-Arm Feasibility and Acceptability Study

Optimizing Compassion Training in Medical Trainees Using an Adjunct mHealth App: A Preliminary Single-Arm Feasibility and Acceptability Study

Reference 1: A culture of compassion: how timeless principles of kindness and empathy become powerful Reference 8: A systematic review of educational interventions and their impact on empathy and compassionempathy

Jennalee S Wooldridge, Emily C Soriano, Gage Chu, Anaheed Shirazi, Desiree Shapiro, Marta Patterson, Hyun-Chung Kim, Matthew S Herbert

JMIR Form Res 2024;8:e60670