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Stratification of, albeit Artificial Intelligent (AI) Driven, High-Risk Elderly Outpatients for priority house call visits - a framework to transform healthcare services from reactive to preventive

机译:尽管有人工智能(AI)驱动的高危老年人门诊患者进行优先门诊就诊的分层-一种将医疗服务从反应型转变为预防型的框架

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House calls have nostalgic view and have practiced decades ago when the doctor arrived at the patient's door carrying a big black bag. House calls could prove to be a better way of treating very sick, elderly patients while they can still live at home. One of the greatest benefits is avoidance of Healthcare associated infections. Additionally, house calls save time and energy of immediate care members of and helps seek for ways to have transport for elderly. A house calls doctor, nonetheless, can see only five to seven patients a day. One reason is that a house call visit can take longer than an office visit, even after taking travel time into account. One way of optimizing house call delivery services is to employ AI based system to identify and generate priority list so that the healthcare providers have greater coverage of their needed patients house calls are performed in-time. In this paper, we propose innovative novel idea “AI enabled house calls are best medicine practices for the next generation”. Finally, as part of the paper, we will present Sanjeevani house call service that is been deployed and currently in production
机译:自家打来的电话怀旧,几十年前,医生带着一个大黑袋到达病人家门时就开始练习。打房子电话可能被证明是治疗非常重病,年老的患者的一种更好的方法,尽管他们仍然可以在家中生活。最大的好处之一是避免了医疗保健相关的感染。此外,上门服务可以节省直接护理人员的时间和精力,并有助于寻找老年人运输的方式。尽管如此,一家房屋的医生每天只能看五到七个病人。原因之一是,即使考虑到出行时间,上门拜访的时间也可能比上门拜访的时间长。优化房屋呼叫传递服务的一种方法是采用基于AI的系统来识别和生成优先级列表,以使医疗保健提供者能够更及时地覆盖所需的病人房屋呼叫。在本文中,我们提出了创新的想法:“启用AI的房屋呼叫是下一代的最佳医学实践”。最后,作为本文的一部分,我们将介绍已部署并正在生产中的Sanjeevani房屋呼叫服务

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