基于大数据云平台的智能化失能等级评定方法研究与应用

Application of Intelligent Disability Rating Method Based on Big Data Cloud Platform

应对老龄化是我国重大战略性问题,快速、准确地辨识失能老人并评定其失能等级,是精准干预老龄化的基础。本研究就国内外失能等级评定的方法及存在的问题进行评述。研究发现,目前尚无统一的失能老年人辨识和评定标准,现有评定方法存在评估内容繁多、操作复杂、对评估人员要求高、评估过程耗时较长、评估结果抽象、患者及家属无法进行自评和对实际工作指导性不强等问题。本研究团队基于“失能人群精准辨识”理论开发了符合我国国情和文化背景实际的《龙氏日常生活能力评定方法》(龙氏量表)国家标准,该量表具有“简”“快”“准”“省”等特点,可为失能老年人辨识和失能等级评定提供可靠依据。本研究重点介绍了龙氏量表的设计理念、评定流程、评定标准及其智能化应用(大数据云平台、手机APP、微信小程序等)。该评定方法在失能老人评定、残疾预防保健、就业政策制定、养老行业发展、护理人力资源配置等领域具有较好的应用前景。

Action plan on aging is a major strategic issue in China.Rapid and accurate identification of the disabled elderly and evaluation of the disability level is the basis of targeted interventions in aging.In this paper,we have reviewed the studies on the methods and existing problems of disability rating at home and abroad.We found that there was no unified standard for the identification and evaluation of the disabled elderly,and there were many problems in the current evaluation methods,such as tedious evaluation contents,complex evaluation steps,high requirements for the evaluators,time-consuming evaluation process,abstract and complicated evaluation results,inability of patients and their families to conduct self-evaluation and poor guidance for practical work,etc.Based on the theory of"accurate identification of disabled people",our research team developed the national standard of"Longshi assessment method of activities of daily living"(Longshi Scale),which is in line with China's national conditions and cultural background.This scale has the characteristics of"simplicity""quickness""accuracy"and"time-saving",which can provide a reliable basis for the identification of the disabled elderly and the rating of disability.This study focused on the design concept,evaluation process,evaluation criteria and intelligent applications(big data cloud platform,mobile applications,WeChat in-app programs,etc.)of Longshi Scale.The scale has good application prospects in the disability evaluation of the elderly,disability prevention and health care,employment policy making,aging industry development,nursing human resources allocation and other field.