Evaluating the Influence of Chatbots and AI Assistants on Medical Communication and Patient Trust

Putta Chandana, Bhavuk Samrat, Sahil Suri, Roshni Majumder, Shashikant Patil and Prabhat Ku.Sahu

Seminars in Medical Writing and Education, 2024, vol. 3, 495

Abstract: Using robots and AI helpers in healthcare is changing how patients communicate with medical services. This could be a good way to improve communication, get patients more involved, and maybe even build trust in healthcare delivery. This research looks at how these digital tools affect how doctors and patients talk to each other and trust each other. The quick spread of AI-powered systems in healthcare settings has led to talks about how well they help build real relationships between healthcare workers and patients and how they can make healthcare more accessible and efficient. The main goal of the study is to look at how patients and healthcare workers feel about AI being used in hospital settings, focussing on how much patients trust and are satisfied with the technology. A mixed-method approach was used, with people from a wide range of groups taking part in both quantitative polls and qualitative conversations. People who used AI-based apps and helpers in healthcare settings, such as to check for symptoms, make appointments, and send follow-up messages, were asked to provide data. The study looks into how these tools affect what patients expect, how happy they are with conversation, and how much they believe AI systems that give them medical advice. The results show that patients have mostly good experiences with AI helpers, especially when it comes to things like ease of use, quick answers, and availability 24 hours a day, seven days a week. Concerns about how artificial intelligence would not be able to provide humane treatment and the requirement of human supervision in medical decision-making surfaced, nevertheless. The research claims that in certain cases artificial intelligence might increase trust and connection; yet, it should be utilised cautiously and that patient care still depends much on human contact. Future research should concentrate on making AI-driven systems in healthcare more accurate, sympathetic, and transparent if we are to fully maximise them.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:medicw:v:3:y:2024:i::p:495:id:495

DOI: 10.56294/mw2024495

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