8,799
Views
9
CrossRef citations to date
0
Altmetric
Research Article

Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 2182659 | Received 15 Dec 2022, Accepted 16 Feb 2023, Published online: 28 Feb 2023

References

  • Liebrich F. Digitale Medienprodukte in Der Arzt-Patienten-Kommunikation. Wiesbaden: Springer Fachmedien; 2017.
  • Kundu S. How will artificial intelligence change medical training? Communications Medicine. 2021;1(1).
  • Lin B, Wu S. Digital transformation in personalized medicine with artificial intelligence and the internet of medical things. OMICS. 2022 Feb;26(2):77–11. PubMed PMID: 33887155.
  • Bates M. Health care chatbots are here to help. IEEE Pulse. 2019 May-Jun;10(3):12–14. PubMed PMID: 31135345.
  • Rajpurkar P, Chen E, Banerjee O, et al. AI in health and medicine. Nat Med. 2022 Jan;28(1):31–38. PubMed PMID: 35058619.
  • Ng KH, Wong JHD. A clarion call to introduce artificial intelligence (AI) in postgraduate medical physics curriculum. Phys Eng Sci Med. 2022 Mar;45(1):1–2. PubMed PMID: 35006576.
  • Han ER, Yeo S, Kim MJ, et al. Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review. BMC Med Educ. 2019 Dec 11;19(1):460. PubMed PMID: 31829208; PubMed Central PMCID: PMCPMC6907217.
  • Moldt J-A, Festl-Wietek T, Mamlouk AM, et al. Assessing medical students’ perceived stress levels by comparing a chatbot-based approach to the Perceived Stress Questionnaire (PSQ20) in a mixed-methods study. Digit Health. 2022;8:20552076221139092.
  • Wiljer D, Hakim Z. Developing an artificial intelligence-enabled health care practice: rewiring health care professions for better care. J Med Imaging Radiat Sci. 2019 Dec;50(4 Suppl 2):S8–14. PubMed PMID: 31791914.
  • Wartman SA, Combs CD. Reimagining medical education in the age of AI. AMA J Ethics. 2019 Feb 1;21(2):E146–152. PubMed PMID: 30794124.
  • Chan KS, Zary N. Applications and challenges of implementing artificial intelligence in medical education: integrative review. JMIR Med Educ. 2019 Jun 15;5(1):e13930. PubMed PMID: 31199295; PubMed Central PMCID: PMCPMC6598417.
  • Wood EA, Ange BL, Miller DD. Are we ready to integrate artificial intelligence literacy into medical school curriculum: students and faculty survey. J Med Educ Curric Dev. 2021 Jan-Dec;8:23821205211024078. PubMed PMID: 34250242; PubMed Central PMCID: PMCPMC8239949.
  • Fischer MR, Bauer D, Mohn K, et al. Finally finished! national competence based catalogues of learning objectives for undergraduate medical education (NKLM) and dental education (NKLZ) ready for trial. GMS Z Med Ausbild. 2015;32(3):Doc35. PubMed PMID: 26677513; PubMed Central PMCID: PMCPMC4580444.
  • Erschens R, Herrmann-Werner A, Schaffland TF, et al. Association of professional pre-qualifications, study success in medical school and the eligibility for becoming a physician: a scoping review. PLoS ONE. 2021;16(11):e0258941. ( PubMed PMID: 34762678; PubMed Central PMCID: PMCPMC8584759. eng).
  • Plange N, Feltgen N, Arbeitsgemeinschaft L. The “Nationaler Kompetenzbasierter Lernzielkatalog Medizin NKLM 2.0”-Implications for medical education in ophthalmology. Ophthalmologie. 2022 Nov 21. PubMed PMID: 36409352.
  • Kuhn S. Transformation durch Bildung. Deutsches Ärzteblatt. 2018;2018:115.
  • Nagy M, Radakovich N, Nazha A. Why machine learning should be taught in medical schools.Med Sci Educator. 2022 Apr 1];32(2):529–532.
  • Nadarzynski T, Miles O, Cowie A, et al. Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: a mixed-methods study. Digit Health. 2019 Jan-Dec;5:2055207619871808. PubMed PMID: 31467682; PubMed Central PMCID: PMCPMC6704417.
  • Parviainen J, Rantala J. Chatbot breakthrough in the 2020s? an ethical reflection on the trend of automated consultations in health care.Medicine, Health Care and Philosophy. 2022 Mar 1;25(1):61–71.
  • Pryss R, Kraft R, Baumeister H, et al. Using chatbots to support medical and psychological treatment procedures challenges, opportunities, technologies, reference architecture. In: Montag C Baumeister Heditors. Digital Phenotyping and Mobile Sensing. Studies in Neuroscience, Psychology and Behavioral Economics. Cham: Springer International Publishing; 2023. p. 335–346.
  • O’brien BC, Harris IB, Beckman TJ, et al. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014 Sep;89(9):1245–1251. PubMed PMID: 24979285; eng.
  • Kaplan B, Duchon D. combining qualitative and quantitative methods in information systems research: a case study. MIS Quarterly. 1988;12(4):571–586.
  • Neyer F, Felber J, Gebhardt C. Kurzskala zur Erfassung von Technikbereitschaft [Short scale for recording technology willingness]. In: GESIS - Leibniz Institute for Social Sciences. Zusammenstellung sozialwissenschaftlicher Items und Skalen (ZIS); 2016.
  • Baur N, Blasius J. Handbuch Methoden der empirischen Sozialforschung. 1 ed. Wiesbaden: Springer VS; 2014.
  • Göthlich S. E. Zum Umgang mit fehlenden Daten in großzahligen empirischen Erhebungen. Albers, S., Klapper, D., Konradt, U., Walter, A., Wolf, J., eds. In: Methodik der empirischen Forschung. Wiesbaden: Gabler Verlag; 2007. p. 119–134.
  • Mayring P. Qualitative Inhaltsanalyse. Grundlagen und Techniken. Weinheim: Deutscher Studien Verlag; 2000.
  • Dos Santos D P, Giese D, Brodehl S, et al. Medical students’ attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019 Apr;29(4):1640–1646. PubMed PMID: 29980928.
  • Kirschner PA, De Bruyckere P. The myths of the digital native and the multitasker. In Teaching and Teacher EducationVol. 67 p. 135–142; 2017 Oct. PubMed PMID: WOS:000411543800013; English.
  • Kuhn S, Kadioglu D, Deutsch K, et al. Data Literacy in der Medizin. Der Onkologe. 2018;24(5):368–377.
  • Ryan P, Luz S, Albert P, et al. Using artificial intelligence to assess clinicians’ communication skills. BMJ. 2019 Jan 18;364:l161. PubMed PMID: 30659013.
  • Wallis C. How artificial intelligence will change medicine. Nature. 2019 Dec;576(7787):S48. PubMed PMID: 31853072; eng.
  • Mosch L, Back D-A, Balzer F, et al. Lernangebote zu Künstlicher Intelligenz in der Medizin. 2021. https://zenodo.org/record/5497668
  • Blum A, Bosch S, Haenssle H, et al. Künstliche intelligenz und smartphone-programm-applikationen (Apps). Der Hautarzt. 2020;71(9):691–698.
  • Sit C, Srinivasan R, Amlani A, et al. Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights Imaging. 2020 Feb 5;11(1):14. PubMed PMID: 32025951; PubMed Central PMCID: PMCPMC7002761. eng.
  • Chen M, Zhang B, Cai Z, et al. Acceptance of clinical artificial intelligence among physicians and medical students: a systematic review with cross-sectional survey. Front Med. 2022;9:990604. PubMed PMID: 36117979; PubMed Central PMCID: PMCPMC9472134. eng.
  • Valikodath NG, Cole E, Ting DSW, et al. Impact of artificial intelligence on medical education in ophthalmology. Transl Vis Sci Technol. 2021 Jun 1;10(7):14. PubMed PMID: 34125146; PubMed Central PMCID: PMCPMC8212436.
  • Palanica A, Flaschner P, Thommandram A, et al. physicians’ perceptions of chatbots in health care: cross-sectional web-based survey. J Med Internet Res. 2019 Apr 5;21(4):e12887. PubMed PMID: 30950796; PubMed Central PMCID: PMCPMC6473203. eng.
  • Bisdas S, Topriceanu CC, Zakrzewska Z, et al. Artificial Intelligence in medicine: a multinational multi-center survey on the medical and dental students’ perception. Front Public Health. 2021;9:795284. PubMed PMID: 35004598; PubMed Central PMCID: PMCPMC8739771.
  • Buhmann J, Felix J, Gächter T, et al. Digitalisierung der Medizin: Konsequenzen für die Ausbildung.Bulletin des Médecins Suisses. 2018 Oct 17.