个性化数字表型评分,医疗保健管理和干预策略使用知识支持的儿童哮喘数字健康框架

Utkarshani Jaimini, A. Sheth
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引用次数: 0

摘要

哮喘是一种个性化的、多诱因的呼吸系统疾病,需要对症状进行持续监测和管理,并坚持服药。我们开发了kHealth:知识支持的数字医疗保健框架,以监测和管理儿童哮喘患者的哮喘症状、药物依从性、肺功能、日常活动、睡眠质量、室内和室外环境触发因素。kHealth框架每天为每位患者收集多达1852个数据点。对于临床医生、家长和患者来说,分析从kHealth框架收集的大量多模式数据实际上是不可能的。在本章中,我们描述了个性化评分,使用数字表型评分进行临床相关的哮喘分类,可操作的见解,以及更好的儿童哮喘管理的潜在干预策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Digital Phenotype Score, Healthcare Management and Intervention Strategies using Knowledge Enabled Digital Health Framework for Pediatric Asthma
Asthma is a personalized, and multi-trigger respiratory condition which requires continuous monitoring and management of symptoms and medication adherence. We developed kHealth: Knowledge-enabled Digital Healthcare Framework to monitor and manage the asthma symptoms, medication adherence, lung function, daily activity, sleep quality, indoor, and outdoor environmental triggers of pediatric asthma patients. The kHealth framework collects up to 1852 data points per patient per day. It is practically impossible for the clinicians, parents, and the patient to analyze this vast amount of multimodal data collected from the kHealth framework. In this chapter, we describe the personalized scores, clinically relevant asthma categorization using digital phenotype score, actionable insights, and potential intervention strategies for better pediatric asthma management.
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