This research focuses on managing cardiovascular disease (CVD) using mobile technologies and decision support system. Evidence from this study indicates that this development can benefit health professionals in medical diagnosis because CVD is the biggest killer in Australia. Capturing cardiac data early when infraction is suspected could save lives and reduce health costs. The research built upon a mobile ECG decision support system which allows remote monitoring of patients. It provided real-time data for specialists, GPs, hospitals and emergency service without the need for hospital admission or travel to see healthcarer. The research has combined web and native apps with DSS together that is the first time to give health professions a non-delay access and fast interpretation to support diagnosis on a mobile device. The mobile ECG decision support system (M-ECG DSS) is expected to improve the overall referral processes and diagnosis of CVD patients remotely located from physicians by eliminating or minimising unpredictable elements such as delay in diagnosis time and speed.
Mobile ECG Decision Support System Demonstration
Findings establish that a mobile device has the ability to present more comprehensive details than a paper-based ECG presentation. This research also shows that a DSS in a mobile device should not only provide decision-making information but also increase system resources availability. There is strongly agreement amongst health professionals that a digital measurement tool is a necessary inclusion in mobile DSSs. It can help clinicians to interpret patient data easily, with minimal errors. The research finds that health professionals will realise benefits from monitoring suspect and actual heart disease, and monitoring in real- time patients’ activity patterns.
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