Evidence map›Paper›PMID 41349022›Full record

ArticleJMIR formative research2025

Comparing Patient Simulation With a Humanoid Robot or a Human Actor in Terms of Training Success and Acceptance: Pilot Questionnaire Study.

Patricia Schwarz, Sandra Hellmers, Sebastian Spanknebel, Diana Immel, Rene Hurlemann, Andreas Hein

Abstract readComparative Study
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Patricia SchwarzAssistance Systems and Medical Device Technology, Department of Health Services Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0009-0004-2026-3016
Sandra HellmersAssistance Systems and Medical Device Technology, Department of Health Services Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0000-0002-1686-6752
Sebastian SpanknebelSchool of Medicine and Health Sciences, Department of Psychiatry and Psychotherapy, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0009-0006-5818-9311
Diana ImmelSchool of Medicine and Health Sciences, Department of Psychiatry and Psychotherapy, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0009-0002-2438-5227
Rene HurlemannSchool of Medicine and Health Sciences, Department of Psychiatry and Psychotherapy, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0000-0003-2628-565X
Andreas HeinAssistance Systems and Medical Device Technology, Department of Health Services Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0000-0001-8846-2282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe addition of simulated patients to medical and nursing training makes it possible to create a link between theory and practice. This makes what has been learned more realistic and allows the complexity and multilayered nature of many illnesses to be reflected in a real-life setting. However, the selection, training, and supervision of actors as simulated patients is time consuming and expensive. In this study, we investigated how differently students and nurses perceive 2 different methods of patient simulation.

objectiveThe aim of this pilot study was to investigate whether patient behavior simulated by a humanoid robot is comparable to patient simulation by actors in videos in terms of training success and user acceptance. Participants were asked to recognize the symptoms presented by the humanoid robot and make a diagnosis. For comparison purposes, we asked a second group of participants to make a diagnosis based on a video featuring a human patient actor.

methodsWe asked the participants (medical students and nursing staff; N=21) to conduct a psychopathological assessment. Group 1 (n=11) used the humanoid robot as a patient simulator, and group 2 (n=10) watched the identical symptoms in a video with a human actor as patient.

resultsThe participants had a mean age of 28.7 (SD 3.5) years. The students were in their sixth semester and had, on average, 7.6 (SD 3.3) years of professional experience in the medical field. The correct diagnosis was made 90% (9/10) of the time based on the video with the human patient actor and 91% (10/11) of the time based on the robot. One participant in each group made the wrong diagnosis, constituting a total error rate of 10% (2/21). In general, participants with the humanoid robot as patient simulator felt more confident that their diagnosis was correct compared to those with the human actor as patient (humanoid robot: 9/11, 82% were neutral to very confident and 2/11, 18% were uncertain to very uncertain; human actor: 9/10, 90% were neutral to very confident and 1/10, 10% were uncertain or unsure).

conclusionsThe simulations of the human actor in the video were judged to be more realistic overall than those of the humanoid robot as patient simulator. However, the differences between the simulation methods in relation to the result (diagnosis) were very small. The results of our pilot study show a good performance of the robot in the simulation of selected psychiatric patient cases. We conclude that a humanoid robot could be a useful addition to patient simulators in medical education and discuss future directions.

Indexed as

Patient SimulationRoboticsAdultFemaleHumansMalePilot ProjectsStudents, MedicalSurveys and QuestionnairesYoung AdultAIartificial intelligencehumanoid robotmedical educationpsychiatric nursingpsychiatryrobot patientschizophreniasimulated patient

Identifiers

PMID41349022
PMCPMC12717505

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.