JMIR Publications

ABSTRACT

Background:

AI nursing robot is based on artificial intelligence technology, and has the functions of intelligent perception, precise positioning and independent decision-making. It plays a key role in improving medical performance, reducing medical errors and improving service quality. With the aging of China's population and the number of patients with chronic diseases, the contradiction between the growing demand for nursing services and the lack of nurses is increasingly prominent AI nursing robots are considered to promote the reform of the nursing industry, improve the existing nursing models, and provide a more reasonable and effective way of nursing management. China has also listed artificial intelligence technology as the national future strategic goal and strongly advocated the application and further research and development of artificial intelligence technology in the medical field. However, the development of robot technology in China is still in the early stage, and there are few studies on the cognitive level differences and functional needs of nursing robots. The study based on the Kano model questionnaire aims to understand the attitude and need priorities of AI care robot function among admissions with different purposes to clarify the preferences and expectations of hospitalized personnel for AI nursing robots, and provide reference for the promotion of AI nursing robots in China.

Objective:

The convenience sampling method selected the admissions from three hospitals in Hubei province from July to December 2023 as the main respondents, with no area and no age limit.

Methods:

Based on the Kano model, analyze the attitude and priority level of hospital admission personnel to the functional field of AI nursing robots with different purposes and compare the differences in demand levels. On this basis, put forward suggestions on the functional optimization of nursing robots in China, and provide a basis for promoting the promotion of AI nursing robots in China.

Results:

Based on the comparative analysis of Kano attribute quadrant map of different sample data, the functional attributes have different requirements of AI nursing robots .Those hospitalized for hospitalization pay more attention to the functional points that promote medical treatment activities; those for outpatient examination pay more attention to the functional points related to assistance; and those for accompanying care pay more attention to the functional points that can provide psychological and life support for patients.

Conclusions:

The functional fields of AI nursing robots are different, and the audience groups are not different. In the future, multidisciplinary personnel are expected to participate, fully consider the functional needs of users and carry out targeted function development, and jointly promote the exploration of new functions and new fields.