Medication Adherence for Patients with Mental Illness

被引：0

作者：

Varshney, Upkar ^{[1
]}

Vetter, Ron ^{[1
]}

机构：

[1] Georgia State Univ, CIS Dept, Atlanta, GA 30302 USA

来源：

2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2012年

关键词：

SCHIZOPHRENIA;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Medication adherence has been studied for some time; however most research has focused on able-bodied patients or the elderly living independently. What has not been studied nearly as much is medication adherence for people with psychiatric or mental illnesses. In this paper, we present a framework that includes the specific challenges in medication adherence for patients with mental illness, algorithms and protocols for evaluating adherence, and some on-going work in developing effective solutions. The architectural framework and associated algorithms leverage the context-aware computing capabilities available on many mobile devices. The system is designed to be able to collect and offer situation-aware information on medication use and adherence for healthcare professionals and other designated persons.

引用

页码：2182 / 2185

页数：4

共 21 条

[1] Neurocognitive function in clinically stable men with bipolar I disorder or schizophrenia and normal control subjects [J].