Introduction. Modern digital innovations and artificial intelligence technologies are being actively introduced in Medicine. Now chatbots are able to provide consulting services and make appointments for patients, make a diagnosis. Chatbots can significantly improve the efficiency and accuracy of symptom detection, assist in remote biomonitoring.
Goal. To study the possibilities of development and directions of implementation of chatbots based on artificial intelligence technologies in medicine and to assess the potential of their application.
Material and methods. The study is prospective, includes analysis of secondary information and conducting an expert interview on issues related to the development, application practice, and distribution of chatbots.
Results. The survey showed most experts already to see the need to introduce chatbots in Medicine. The main advantages are: getting an “instant” response and saving patients’ time. The disadvantages of using chatbots may be: “incorrect interpretation” of both user requests and interpretation by patients. Experts see risks in the “erroneous” diagnosis and in the “measure of responsibility”.
Limitations of research. The research materials are limited by the results of an expert survey conducted in 2023 and the quantitative and qualitative characteristics of the respondents who met the requirements for experts.
Conclusions. Chatbots in the field of healthcare have already become a reality in consulting and providing the necessary medical information. Thanks to the development of information technologies, chatbots are able to process significant amounts of data received from patients, quickly and accurately find answers, provide information support, and establish a preliminary diagnosis. Such solutions can reduce the burden on medical professionals and increase patient satisfaction.
Compliance with ethical standards. The conclusion of the biomedical ethics committee was not required to conduct this study (the study was carried out on publicly available information and data obtained as a result of expert interviews).
Contribution of the authors:
Aksenova E.I. — concept and design of the study, writing an article;
Medvedeva E.I. — concept and design of the study, writing the article, editing;
Kroshilin S.V. — collection and processing of material, statistical processing, writing an article, editing.
All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.
Acknowledgment. The study had no sponsorship.
Conflict of interest. The authors declare no conflict of interest.
Received: June 22, 2023
Accepted: August 23, 2023
Published: November 3, 2023