Analysis of the application status and influencing factors of AI telephone follow-up in the health management of hypertensive patients in the community
Objective:To analyze the artificial intelligence(AI)telephone follow-up answering,information collection,and consistency to evaluate the application value of AI technology in community chronic disease follow-up management.Methods:From September 1 to 30,2020,the multi-stage cluster random sampling method was used to select hypertensive patients who needed follow-up among the chronic disease management subjects in Pengpuxincun Community Health Service Center as the survey objects,and the AI follow-up system was used to conduct telephone follow-up of hypertensive patients,and the contents collected were effectively extracted,and automatically generated follow-up results.Results:A total of 4 070 hypertensive patients were covered in this study,of which 3 887(95.50%)responded and 3 529 responded effectively.The information collection rate and agreement rate of dichotomous data and multi-categorical data were negatively correlated with the order of inquiry,while the quantitative data were positively correlated.A total of 52 852 pieces(71.31%)of the information were collected by the AI telephone follow-up system,of which 49 677 pieces(93.99%)were consistent with the results of manual review.The results of univariate analysis showed that data type,age and dialing time of AI telephone follow-up were statistically significant influencing factors for the difference in the consistency rate of speech recognition information(P<0.05).Conclusion:It is suggested to improve the information collection rate and consistency rate of AI telephone follow-up by loading dialect voice packs,setting up more intelligent interactive inquiry,more standardized answer settings,and personalized telephone follow-up dialing time.
hypertensive patientAI telephone follow-upanalysis of influencing factor
万方数据
维普
