Personalized Assistance for Patients with Chronic Diseases Through Multi-Level Distributed Healthcare Process Assessment

被引：3

作者：

Elkhovskaya, Liubov ^{[1
]}

Kabyshev, Maxim ^{[1
]}

Funkner, Anastasia ^{[1
]}

Balakhontceva, Marina ^{[1
]}

Fonin, Vladimir ^{[2
]}

Kovalchuk, Sergey ^{[1
]}

机构：

[1] ITMO Univ, St Petersburg, Russia

[2] PMT Online, Moscow, Russia

来源：

PHEALTH 2019 | 2019年 / 261卷

基金：

俄罗斯科学基金会;

关键词：

Chronic disease; medical information system; telemedicine; data integration; out-patients; mobile application; DECISION-SUPPORT;

D O I：

10.3233/978-1-61499-975-1-309

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The study is aimed towards the assessment and improvement of complex informational, healthcare, and medical processes existing in the distributed environment during monitoring and providing healthcare services to patients with chronic diseases. The study is performed within a framework of a project for development a complex unified medical information system capable to work on large scale (on population-level). The presented experimental studies show that predictive modelling enables unified detection of remote patients' state using self-measuring and distributed electronic health records. In addition, an experimental mobile application is presented as a tool for data collection and user-system interaction during chronic disease monitoring and treatment.

引用

页码：309 / 312

页数：4

共 6 条

[1]

[Anonymous], 2015, HLTH 2015 MDGS MILL

[2] Complex data-driven predictive modeling in personalized clinical decision support for Acute Coronary Syndrome episodes [J].