医护患人群对人工智能辅助护理的认知、需求及其影响因素研究

Cognition,demand and influencing factors of artificial intelligence nursing robots among doctors,nurses and patients

摘要:

目的调查分析中山市某三甲医院医护患人群对人工智能(AI)护理机器人的认知状况、需求意愿及其影响因素,为探索发展AI护理提供参考。方法采用分层随机抽样方法,对中山市某三甲医院医护患人员进行问卷调查。结果医护患三方对AI辅助护理的认知和需求均有显著差异(P<0.05)。年资≥10年[O^R=0.15,95%CI(0.05,0.42)]、高级职称[O^R=0.22,95%CI(0.11,0.57)]的护士群体对巡视导诊方面的AI辅助护理需求相对较低;年资≥10年[O^R=2.83,95%CI(1.58,5.07)]、高级职称[O^R=2.95,95%CI(1.42,6.11)]的护士群体对护理决策辅助方面的AI辅助护理需求相对较高。中、高年龄段[O^R_31~59岁=2.50,95%CI(1.36,4.61);O^R_≥60岁=6.57,95%CI(1.37,31.58)]、高社会经济地位[O^R=1.68,95%CI(1.23,7.58)]的患者群体对生活护理的需求相对较高;中、高社会经济地位[O^R_中=2.25,95%CI(1.13,5.48);O^R_高=2.65,95%CI(1.44,5.70)]的患者人群对病情预测的需求较高;不同疾病类型也是病情预测等维度需求的影响因素。结论开发AI护理机器人应考虑医护患三方的认知、需求差异,针对不同人群功能模块应有所区别和侧重,以满足医护患三方的不同需要。

Abstract:

【Objective】To understand information on cognition,demand and influencing factors of artificial intelligence nursing robots among doctors,nurses and patients.【Methods】A sample survey was conducted among 1298 doctors,nurses and patients in a three-A hospital in Guangdong province.Self‐made questionnaire was used to survey cognition and demand of artificial intelligence nursing robots.【Results】There were statistical differences in five demensions of cognition and demand among the three groups(P<0.05).Multivariate logistic analysis showed that long length of working time[odds ratio(O^R)=0.15,95%confidence interval(95%CI)=0.05-0.42,P<0.05],high senior professional titles(O^R=0.22,95%CI=0.11-0.57,P<0.05)were significantly associated with reduced demand of guiding service among nurses;long length of working time(O^R=2.83,95%CI=1.58-5.07,P<0.05],high senior professional titles(O^R=2.95,95%CI=1.42-6.11,P<0.05)were significantly associated with increased demand of nursing decision aids among nurses;middle-age(O^R=2.50,95%CI=1.36-4.61,P<0.05),old age(O^R=6.57,95%CI=1.37-31.58,P<0.05),high level of socioeconomic status(O^R=1.68,95%CI=1.23-7.58,P<0.05)were significantly associated with increased demand of life nursing among patients;middle level of socioeconomic status(O^R=2.25,95%CI=1.13-5.48,P<0.05),high level of socioeconomic status(O^R=2.65,95%CI=1.44-5.70,P<0.05)were significantly associated with increased demand of illness prediction among patients.【Conclusion】Designing and developing artificial intelligence nursing robots should consider the differences of doctors,nurses and patients'cognition and demand,and should adjust functions toward different populations.