Artificial Intelligence in Medical Care – Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study.
Introduction: Artificial intelligence (AI) offers several opportunities to enhance medical care, but practical application is limited. Consideration of patient needs is essential for the successful implementation of AI‐based systems. Few studies have explored patients' perceptions, especially in Ger...
| Publicado en: | Health Expectations Vol. 28; no. 2; pp. 1 - 15 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184679857&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184679857 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13696513 EVY jtl: Health Expectations issn: 13696513 maglogo: Y pubinfo: dt: Apr2025 vid: 28 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 184679857 184679857 184679857 10.1111/hex.70216 184679857 ppf: 1 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Artificial Intelligence in Medical Care – Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study. aug: au: Gundlack, Jana Negash, Sarah Thiel, Carolin Buch, Charlotte Schildmann, Jan Unverzagt, Susanne Mikolajczyk, Rafael Frese, Thomas Prokosch, Hans‐Ulrich Christoph, Jan Apfelbacher, Timo Fluck, Carsten Kartschmit, Nadja Manuilova, Iryna affil: Institute of General Practice & Family Medicine, Interdisciplinary Center of Health Sciences, Medical Faculty of the Martin Luther University Halle‐Wittenberg, Halle (Saale), Germany sug: subj: Artificial Intelligence Utilization Artificial Intelligence Ethical Issues Medical Care Patient Attitudes Evaluation Caregivers Physician-Patient Relations Funding Source Human Male Female Adult Middle Age Aged Aged, 80 and Over Qualitative Studies Descriptive Statistics Semi-Structured Interview Content Analysis Convenience Sample Purposive Sample Social Class Patient Safety Emotions Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Introduction: Artificial intelligence (AI) offers several opportunities to enhance medical care, but practical application is limited. Consideration of patient needs is essential for the successful implementation of AI‐based systems. Few studies have explored patients' perceptions, especially in Germany, resulting in insufficient exploration of perspectives of outpatients, older patients and patients with chronic diseases. We aimed to explore how patients perceive AI in medical care, focusing on relationships to physicians and ethical aspects. Methods: We conducted a qualitative study with six semi‐structured focus groups from June 2022 to March 2023. We analysed data using a content analysis approach by systemising the textual material via a coding system. Participants were mostly recruited from outpatient settings in the regions of Halle and Erlangen, Germany. They were enrolled primarily through convenience sampling supplemented by purposive sampling. Results: Patients (N = 35; 13 females, 22 males) with a median age of 50 years participated. Participants were mixed in socioeconomic status and affinity for new technology. Most had chronic diseases. Perceived main advantages of AI were its efficient and flawless functioning, its ability to process and provide large data volume, and increased patient safety. Major perceived disadvantages were impersonality, potential data security issues, and fear of errors based on medical staff relying too much on AI. A dominant theme was that human interaction, personal conversation, and understanding of emotions cannot be replaced by AI. Participants emphasised the need to involve everyone in the informing process about AI. Most considered physicians as responsible for decisions resulting from AI applications. Transparency of data use and data protection were other important points. Conclusions: Patients could generally imagine AI as support in medical care if its usage is focused on patient well‐being and the human relationship is maintained. Including patients' needs in the development of AI and adequate communication about AI systems are essential for successful implementation in practice. Patient or Public Contribution: Patients' perceptions as participants in this study were crucial. Further, patients assessed the presentation and comprehensibility of the research material during a pretest, and recommended adaptations were implemented. After each FG, space was provided for requesting modifications and discussion. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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