Taking Web of Science database as the data source,the paper visually analyzes the literatures about medical knowledge data using the visualization software,such as Citespace,SATI and Ucinet,reveals the research power,core journals,core authors,situation of the literature referred and hot topics in this field.

In order to solve the problem of poor communication, low efficiency of consultation, and even affecting self-confidence caused by unskilled skills and insufficient cooperation with patients in the real clinic, and to solve the problem during the clinical thinking training that beginners do not know how to organize effective information and complete the process of diagnosis and differential diagnosis more efficiently. By applying the artificial intelligence (AI) virtual patient (VP) system to the process of teaching diagnostic knowledge and clinical thinking training. It provides the students with the experience of simulating the diagnosis and treatment of the clinical real scene. Let the students talk with the VP system for inquiry training and then go to the clinic to give the real patients inquiry and by simulating the process of treating the real patients, let the students take the initiative to complete the collection of medical records and clinical decision-making under the simulated scene to train the clinical thinking. This can not only solve the shortcomings of the previous simulation teaching and clinical teaching, but also stimulate students' interest in learning. According to the results of the questionnaire, students have a high acceptance of VP system simulation teaching. Through the results of homework and assessment and evaluation, the teaching results are better than before, and this teaching method should be further popularized.

Objective: To investigate the status and influencing factors of disease uncertainty among caregivers of colorectal cancer patients receiving chemotherapy, so as to provide insights into psychological interventions among caregivers. Methods: Caregivers of colorectal cancer patients hospitalized in Hunan Cancer Hospital, the Third Xiangya Hospital and the Second Xiangya Hospital for chemotherapy from March 2020 to December 2021 were recruited. Caregivers' demographics, health status, medical and nursing support and social support, as well as patients' demographics, frequency of chemotherapy and disease stage were collected using questionnaire surveys. Caregivers' disease uncertainty was evaluated using Chinese version of the Uncertainty in Illness Scale for Family Members, and factors affecting caregivers' disease uncertainty were identified using a multivariable linear regression model. Results: A total of 318 caregivers were enrolled, including 115 men (36.16%) and 203 women (63.84%), with a mean age of (45.89±6.57) years, and there were 186 caregivers as patients' spouses (58.49%). The mean score of disease uncertainty was (86.65±10.82) points, and the scores of the unpredictability dimension, uncertainty dimension, complexity, and lack of information dimension were (3.21±0.35), (2.98±0.48), (2.84±0.49) and (2.36±0.59) points, respectively. There were 285 participants with a high level of disease uncertainty (89.62%), and multivariable linear regression analysis identified social support (β′=-0.199), medical and nursing support (β′=-0.118), patient's age (β′=-0.155) and stage Ⅲ and Ⅳ of colorectal cancer (β′=0.151) as factors affecting caregiver's disease uncertainty. Conclusion Caregivers of colorectal cancer patients with chemotherapy have a high level of disease uncertainty, which is affected by social support, medical and nursing support, patient's age and duration of disease.