A Push-based Health Information Framework to Monitor Heart Disease Patients in Real Time
In e-health, data warehouse systems have become an importantstrategy to integrate heterogeneous data sources. However, currentdata warehousing and business intelligence technologies have some shortcomings in addressing time sensitive monitoring, real time data processing and the adaptation of data for analytical requirements. Data warehouse technologies are required for telecare, drug interaction for patients with multiple symptoms, electronic prescriptions and emergency datasets, in which monitoring of the processes in real-time can lead to proactive response to exceptional and timesensitive critical situations. We have designed a framework that aims to empower each patient data source (hospital data bases, general practitioner data bases and/or sensor devices used by the patient) by using an distributed agent architecture to perform real time patient data analysis/processing. This enables a rapid response mechanism to monitor heart disease (or other chronic disease) patients in risk scenarios.
Health informatics health information systems intelligent patient monitoring
Emma Chavez-Mora Gavin Finnie
School of Information Technology, Bond University, Australia Informatics Department, Universidad Cat School of Information Technology, Bond University, Australia
国际会议
成都
英文
181-185
2011-01-14（万方平台首次上网日期，不代表论文的发表时间）