Cited by 30Empathy and Medical EducationPatient-Provider Communication in HealthcareHealth Literacy and Information Accessibility

Digital clinical empathy in a live chat: multiple findings from a formative qualitative study and usability tests

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Luetke Lanfer, Hanna, Reifegerste, Doreen, Weber, Winja, Memenga, Paula, Baumann, Eva, Geulen, Julia, Klein, Stefanie, Müller, Anne +2 more·2024·BMC Health Services Research

Abstract

Background: Clinical empathy is considered a crucial element in patient-centered care. The advent of digital technology in healthcare has introduced new dynamics to empathy which needs to be explored in the context of the technology, particularly within the context of written live chats. Given the growing prevalence of written live chats, this study aimed to explore and evaluate techniques of digital clinical empathy within a familial cancer-focused live chat, focusing on how health professionals can (a) understand, (b) communicate, and (c) act upon users’ perspectives and emotional states. Methods: The study utilized a qualitative approach in two research phases. It examined the expected and implemented techniques and effectiveness of digital clinical empathy in a live chat service, involving semi-structured interviews with health professionals (n = 9), focus group discussions with potential users (n = 42), and two rounds of usability tests between health professionals (n = 9) and users (n = 18). Data were examined using qualitative content analysis. Results: Expected techniques of digital clinical empathy, as articulated by both users and health professionals, involve reciprocal engagement, timely responses, genuine authenticity, and a balance between professionalism and informality, all while going beyond immediate queries to facilitate informed decision-making. Usability tests confirm these complexities and introduce new challenges, such as balancing timely, authentic responses with effective, personalized information management and carefully framed referrals. Conclusions: The study reveals that the digital realm adds layers of complexity to the practice of clinical empathy. It underscores the importance of ongoing adaptation and suggests that future developments could benefit from a hybrid model that integrates the strengths of both AI and human health professionals to meet evolving user needs and maintain high-quality, empathetic healthcare interactions.

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  • Recent work explored hybrid and simulation-based approaches, including live-chat models emphasizing digital clinical empathy and virtual patient systems designed to train clinicians in empathic and end-of-life communication.

    “Recent work has also explored hybrid and simulation-based approaches, including live-chat models emphasizing digital clinical empathy [34] and virtual patient systems designed to train clinicians in empathic and end-of-life communication [3536].”
  • Digital clinical empathy requires intentional strategies (timely acknowledgment, authenticity, appropriate boundary setting, contextual responsiveness) and may be best sustained through hybrid models combining AI-enabled support with human oversight.

    “Studies measuring cancer-related live chat environments and simulation-based systems highlight that digital clinical empathy requires intentional strategies (ie, timely acknowledgment, authenticity, appropriate boundary setting, and contextual responsiveness) and may be best sustained through hybrid models that combine AI-enabled support with human oversight [34-36].”

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  1. [1]Leiberg S Anders S The multiple facets of empathy: a survey of theory and evidence Prog Brain Res 2006 156 419 40 10.1016/S0079-6123(06)56023-6 17015094 · DOI · Paper page
  2. [2]Batson CD. These Things Called Empathy: Eight Related but Distinct Phenomena. In: Decety J, Ickes W, editors. The Social Neuroscience of Empathy: The MIT Press; 2009. p. 3–16. 10.7551/mitpress/9780262012973.003.0002. · DOI
  3. [3]Ekman E Krasner M Empathy in medicine: Neuroscience, education and challenges Med Teach 2017 39 164 73 10.1080/0142159X.2016.1248925 27934554 · DOI
  4. [4]Maibom HL. Empathy. Abingdon, Oxon, York N. NY: Routledge, 2020.| Series: New problems of philosophy: Routledge; 2020.
  5. [5]Osler L. Taking empathy online. Inquiry. 2021;1–28. 10.1080/0020174x.2021.1899045. · DOI
  6. [6]Sanders JJ Dubey M Hall JA Catzen HZ Blanch-Hartigan D Schwartz R What is empathy? Oncology patient perspectives on empathic clinician behaviors Cancer 2021 127 4258 65 10.1002/CNCR.33834 34351620 · DOI
  7. [7]van Vliet LM Back AL The different faces of empathy in cancer care: from a desired virtue to an evidence-based communication process Cancer 2021 127 4137 9 10.1002/cncr.33833 34351623 · DOI
  8. [8]Hojat M Maio V Pohl CA Gonnella JS Clinical empathy: definition, measurement, correlates, group differences, erosion, enhancement, and healthcare outcomes Discov Health Syst 2023 10.1007/s44250-023-00020-2 · DOI
  9. [9]Derksen F Bensing J Lagro-Janssen A Effectiveness of empathy in general practice: a systematic review Br J Gen Pract 2013 63 e76 84 10.3399/bjgp13X660814 23336477 PMC3529296 · DOI · Paper page
  10. [10]Durkin J Usher K Jackson D Embodying compassion: a systematic review of the views of nurses and patients J Clin Nurs 2019 28 1380 92 10.1111/jocn.14722 30485579 · DOI
  11. [11]Fragkos KC Crampton PES The effectiveness of Teaching Clinical Empathy to Medical students: a systematic review and Meta-analysis of Randomized controlled trials Acad Med 2020 95 947 57 10.1097/ACM.0000000000003058 31688037 · DOI
  12. [12]Wündrich M Schwartz C Feige B Lemper D Nissen C Voderholzer U Empathy training in medical students - a randomized controlled trial Med Teach 2017 39 1096 8 10.1080/0142159X.2017.1355451 28749198 · DOI
  13. [13]Arli SK Bakan AB An investigation of the relationship between intercultural sensitivity and compassion in nurses Int J Intercultural Relations 2018 63 38 42 10.1016/j.ijintrel.2017.12.001 · DOI
  14. [14]Mehnert-Theuerkauf A Hufeld JM Esser P Goerling U Hermann M Zimmermann T Prevalence of mental disorders, psychosocial distress, and perceived need for psychosocial support in cancer patients and their relatives stratified by biopsychosocial factors: rationale, study design, and methods of a prospective multi-center observational cohort study (LUPE study) Front Psychol 2023 14 1125545 10.3389/fpsyg.2023.1125545 37151329 PMC10157044 · DOI
  15. [15]Schwan D Should physicians be empathetic? Rethinking clinical empathy Theor Med Bioeth 2018 39 347 60 10.1007/s11017-018-9463-y 30238181 · DOI
  16. [16]Powell PA Roberts J Situational determinants of cognitive, affective, and compassionate empathy in naturalistic digital interactions Comput Hum Behav 2017 68 137 48 10.1016/j.chb.2016.11.024 · DOI
  17. [17]Walther JB Computer-mediated communication Communication Res 1996 23 3 43 10.1177/009365096023001001 · DOI · Paper page
  18. [18]Grondin F Lomanowska AM Jackson PL Empathy in computer-mediated interactions: a conceptual framework for research and clinical practice Clin Psychol Sci Pract 2019 26 17 10.1111/cpsp.12298 · DOI
  19. [19]Salmoiraghi A Hussain S A systematic review of the Use of Telepsychiatry in Acute Settings J Psychiatr Pract 2015 21 389 93 10.1097/PRA.0000000000000103 26348806 · DOI
  20. [20]Yellowlees P Richard Chan S Burke Parish M The hybrid doctor-patient relationship in the age of technology - telepsychiatry consultations and the use of virtual space Int Rev Psychiatry 2015 27 476 89 10.3109/09540261.2015.1082987 26493089 · DOI
  21. [21]Sperandeo R Cioffi V Mosca LL Longobardi T Moretto E Alfano YM Exploring the question: does Empathy work in the same way in online and In-Person therapeutic settings? Front Psychol 2021 12 671790 10.3389/fpsyg.2021.671790 34621207 PMC8490728 · DOI
  22. [22]Farber BA, Ort D. Clients’ Perceptions of Changes in Their Therapists’ Positive Regard in Transitioning from In-Person Therapy to Teletherapy. Psychother Res. 2022;1–10. 10.1080/10503307.2022.2146544. 36427859 · DOI
  23. [23]Weinberg H Obstacles, challenges, and benefits of Online Group Psychotherapy Am J Psychother 2021 74 83 8 10.1176/appi.psychotherapy.20200034 33525914 · DOI
  24. [24]Pelau C Dabija D-C Ene I What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry Comput Hum Behav 2021 122 106855 10.1016/j.chb.2021.106855 · DOI · Paper page
  25. [25]Roy R Naidoo V Enhancing chatbot effectiveness: the role of anthropomorphic conversational styles and time orientation J Bus Res 2021 126 23 34 10.1016/j.jbusres.2020.12.051 · DOI
  26. [27]Kim WB, Hur HJ. What makes people feel Empathy for AI chatbots? Assessing the role of competence and warmth. Int J Human–Computer Interact. 2023;1–14. 10.1080/10447318.2023.2219961. · DOI
  27. [28]McLean G Osei-Frimpong K Chat now… examining the variables influencing the use of online live chat Technol Forecast Soc Chang 2019 146 55 67 10.1016/j.techfore.2019.05.017 · DOI
  28. [29]van Dolen W Weinberg CB An empirical investigation of factors affecting Perceived Quality and Well-Being of Children using an online child Helpline Int J Environ Res Public Health 2019 10.3390/ijerph16122193 31234285 PMC6616510 · DOI
  29. [31]Reifegerste Doreen Rosset Magdalena Czerwinski Fabian Baumann Eva Gaisser Andrea Kludt Evelyn Weg-Remers Susanne Understanding the Pathway of Cancer Information Seeking: Cancer Information Services as a Supplement to Information from Other Sources Journal of cancer education: the official journal of the American Association for Cancer Education 2023 38 1 175 184 10.1007/s13187-021-02095-y 34783995 PMC9852194 · DOI
  30. [32]Memenga P, Baumann E, Luetke Lanfer H, Reifegerste D, Geulen J, Weber W, et al. Intentions of patients with cancer and their relatives to use a live chat on familial cancer risk: results from a cross-sectional web-based survey. J Med Internet Res. 2023;25:e45198. 10.2196/45198 PMC10495847 37639311 · DOI
  31. [33]Luetke Lanfer H, Reifegerste D, Berg A, Memenga P, Baumann E, Weber W, et al. Understanding trust determinants in a live chat service on familial cancer: qualitative triangulation study with focus groups and interviews in Germany. J Med Internet Res. 2023;25:e44707. 10.2196/44707 PMC10483292 37610815 · DOI
  32. [34]Brody C Star A Tran J Chat-based hotlines for health promotion: a systematic review Mhealth 2020 6 36 10.21037/mhealth-2019-di-13 33437833 PMC7793018 · DOI
  33. [35]Asada M Development of artificial empathy Neurosci Res 2015 90 41 50 10.1016/j.neures.2014.12.002 25498950 · DOI
  34. [37]Hernandez J, Lovejoy J, McDuff D, Suh J, O’Brien T, Sethumadhavan A, Guidelines for Assessing and Minimizing Risks of Emotion Recognition Applications. In:, Interaction I et al. (ACII); 28/09/2021–01/10/2021; Nara, Japan: IEEE; 2021. p. 1–8. 10.1109/ACII52823.2021.9597452. · DOI
  35. [40]Gkinko L Elbanna A Hope, tolerance and empathy: employees’ emotions when using an AI-enabled chatbot in a digitalised workplace ITP 2022 35 1714 43 10.1108/ITP-04-2021-0328 · DOI
  36. [42]Jannai D, Meron A, Lenz B, Levine Y, Shoham Y. Human or Not? A Gamified Approach to the Turing Test: arXiv; 2023.
  37. [45]Loveys K Prina M Axford C Domènec ÒR Weng W Broadbent E Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies Lancet Healthy Longev 2022 3 e286 97 10.1016/S2666-7568(22)00034-4 35515814 PMC8979827 · DOI
  38. [47]Moylan CA Carlson ML Campbell R Fedewa T It’s hard to Show Empathy in a text: developing a web-based Sexual Assault Hotline in a College setting J Interpers Violence 2022 37 NP16037 59 10.1177/08862605211025036 34134570 · DOI
  39. [48]Navarro P Sheffield J Edirippulige S Bambling M Exploring Mental Health professionals’ perspectives of text-based online counseling effectiveness with Young people: mixed methods pilot study JMIR Ment Health 2020 7 e15564 10.2196/15564 32012097 PMC7016626 · DOI
  40. [49]Black L McClellan KA Avard D Knoppers BM Intrafamilial disclosure of risk for hereditary breast and ovarian cancer: points to consider J Community Genet 2013 4 203 14 10.1007/s12687-012-0132-y 23275181 PMC3666841 · DOI
  41. [51]Doi T Usability Textual Data Analysis: a formulaic coding think-aloud protocol method for usability evaluation Appl Sci 2021 11 7047 10.3390/app11157047 · DOI
  42. [52]Richardson S Mishuris R O’Connell A Feldstein D Hess R Smith P Think aloud and Near live usability testing of two complex clinical decision support tools Int J Med Inf 2017 106 1 8 10.1016/j.ijmedinf.2017.06.003 PMC5679128 28870378 · DOI
  43. [53]Mayring P Fenzl T Baur N Blasius J Qualitative inhaltsanalyse Handbuch Methoden Der Empirischen Sozialforschung 2019 Wiesbaden Springer Fachmedien Wiesbaden 633 48
  44. [54]Corbin J Strauss A Basics of qualitative research: techniques and procedures for developing 2015 United States if America Sage Publications, Inc
  45. [55]Decock S de Clerck B Lybaert C Plevoets K Testing the various guises of Conversational Human Voice: the impact of formality and personalization on customer outcomes in online complaint management J Internet Commer 2021 20 1 24 10.1080/15332861.2020.1848060 · DOI
  46. [56]Lea S Martins A Morgan S Cargill J Taylor RM Fern LA Online information and support needs of young people with cancer: a participatory action research study Adolesc Health Med Ther 2018 9 121 35 10.2147/AHMT.S173115 30310338 PMC6167089 · DOI
  47. [57]Radford ML Encountering virtual users: a qualitative investigation of interpersonal communication in chat reference J Am Soc Inf Sci 2006 57 1046 59 10.1002/asi.20374 · DOI
  48. [58]Coll M-P Viding E Rütgen M Silani G Lamm C Catmur C Bird G Are we really measuring empathy? Proposal for a new measurement framework Neurosci Biobehav Rev 2017 83 132 9 10.1016/j.neubiorev.2017.10.009 29032087 · DOI
  49. [60]Gray DM Joseph JJ Olayiwola JN Strategies for Digital Care of vulnerable patients in a COVID-19 world-keeping in Touch JAMA Health Forum 2020 1 e200734 10.1001/jamahealthforum.2020.0734 36218529 · DOI · Paper page
  50. [61]Newcomb AB, Duval M, Bachman SL, Mohess D, Dort J, Kapadia MR. Building Rapport and Earning the Surgical Patient’s Trust in the Era of Social Distancing: Teaching Patient-Centered Communication During Video Conference Encounters to Medical Students. J Surg Educ. 2021;78:336–41. 10.1016/j.jsurg.2020.06.018. PMC7373024 32709566 · DOI

Cited by

Sorted by citations

Authors
Luetke Lanfer, H., Reifegerste, D., Weber, W., Memenga, P., Baumann, E., Geulen, J., Klein, S., Müller, A., Hahne, A., & Weg-Remers, S.
Affiliations
  • Bielefeld University (DE)
  • German Cancer Research Center (DE)
  • Hanover University of Music Drama and Media (DE)
Venue
BMC Health Services Research
Published
2024-03-08
Volume
24
Issue
1
Pages
314-314
ISSN
1472-6963 (ISSN-L)
OpenAlex
W4392595299
Cited by
30
References
9
Citations by year
2026: 15 · 2025: 11 · 2024: 4
FWCI
8.82
Type
journal article
Language
en
Open access
Locations
  • BMC Health Services Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PUBLISSO (German National Library of Medicine) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Universität Bielefeld
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Empathy and Medical Education
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
Keywords
live chat, online patient support, hereditary cancer, patient-centered care, health professional-patient communication, emotional state, referral management, usability
MeSH terms
Delivery of Health Care, Empathy, Health Personnel, Humans, Focus Groups, Qualitative Research

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