โก Quick Summary
A recent qualitative study explored patients’ perceptions of artificial intelligence (AI) in medical care, revealing that while patients appreciate AI’s potential for efficiency and safety, they emphasize the irreplaceable value of human interaction in healthcare relationships. The findings highlight the importance of transparency and patient involvement in AI implementation.
๐ Key Details
- ๐ Participants: 35 patients (13 females, 22 males) with a median age of 50 years
- ๐งฉ Focus: Patients’ perceptions of AI in caregiving relationships and ethical considerations
- โ๏ธ Methodology: Six semi-structured focus groups conducted from June 2022 to March 2023
- ๐ Location: Outpatient settings in Halle and Erlangen, Germany
๐ Key Takeaways
- ๐ค AI’s Advantages: Efficient functioning, large data processing, and enhanced patient safety.
- โ ๏ธ AI’s Disadvantages: Impersonality, data security concerns, and reliance on AI leading to potential errors.
- ๐ฌ Human Interaction: Participants stressed that AI cannot replace personal conversations and emotional understanding.
- ๐ Transparency: Patients desire clear communication regarding data use and AI applications.
- ๐ฉโโ๏ธ Physician Responsibility: Most participants viewed physicians as accountable for AI-driven decisions.
- ๐ฃ๏ธ Patient Involvement: Inclusion of patient perspectives is crucial in AI development and implementation.
๐ Background
The integration of artificial intelligence in healthcare has the potential to transform patient care, yet its practical application remains limited. Understanding patients’ perceptions is vital for successful AI implementation, particularly in regions like Germany where such studies are scarce. This research aims to bridge that gap by focusing on the views of outpatients, older patients, and those with chronic diseases.
๐๏ธ Study
Conducted over several months, this qualitative study involved six semi-structured focus groups with a diverse group of patients. The researchers employed a content analysis approach to systematically analyze the discussions, focusing on how patients perceive AI’s role in their medical care and the ethical implications surrounding its use.
๐ Results
The study revealed that while patients recognize the efficiency and safety benefits of AI, they also expressed concerns about its impersonality and potential risks associated with over-reliance on technology. A significant theme emerged around the necessity of maintaining human interaction in healthcare, with participants advocating for transparency and active involvement in discussions about AI.
๐ Impact and Implications
The findings from this study underscore the importance of aligning AI applications with patient well-being and ensuring that the human element of care is preserved. By prioritizing patient needs and fostering open communication about AI technologies, healthcare providers can enhance the acceptance and effectiveness of AI in medical settings. This research paves the way for future studies and discussions on the ethical integration of AI in healthcare.
๐ฎ Conclusion
This study highlights the critical role of patient perceptions in the successful implementation of AI in medical care. By focusing on patient well-being and maintaining strong caregiver relationships, healthcare systems can harness the benefits of AI while addressing the concerns raised by patients. The future of AI in healthcare looks promising, provided that patient voices are heard and valued in the development process.
๐ฌ Your comments
What are your thoughts on the integration of AI in healthcare? How do you feel about the balance between technology and human interaction in medical care? ๐ฌ Join the conversation in the comments below or connect with us on social media:
Artificial Intelligence in Medical Care – Patients’ Perceptions on Caregiving Relationships and Ethics: A Qualitative Study.
Abstract
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 (Nโ=โ35; 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.
Author: [‘Gundlack J’, ‘Negash S’, ‘Thiel C’, ‘Buch C’, ‘Schildmann J’, ‘Unverzagt S’, ‘Mikolajczyk R’, ‘Frese T’, ‘PEAK consortium’]
Journal: Health Expect
Citation: Gundlack J, et al. Artificial Intelligence in Medical Care – Patients’ Perceptions on Caregiving Relationships and Ethics: A Qualitative Study. Artificial Intelligence in Medical Care – Patients’ Perceptions on Caregiving Relationships and Ethics: A Qualitative Study. 2025; 28:e70216. doi: 10.1111/hex.70216
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