HealthGuide: A Personalized Mobile Patient Guidance System

Published on Jan 1, 2018
· DOI :10.1007/978-3-319-73135-3_11
P. Erhan Eren10
Estimated H-index: 10
(METU: Middle East Technical University),
Ebru Gökalp8
Estimated H-index: 8
(METU: Middle East Technical University)
Sources
Abstract
Patients have to carry out various complex tasks when they visit hospitals. In this context, workflow management systems offer a structured solution for modeling these tasks with workflows in order to guide patients. Furthermore, the integration of smartphones and pervasive technologies with workflows facilitates both the collection of relevant data and the delivery of timely information to users. In this chapter, we present a mobile application working in conjunction with a pervasive workflow management system, highlighting the design of mobile health (mHealth) solution, named HealthGuide. As advocated by the socio-technical system design (STSD) approach, the system design is guided by incorporating the user perspective in order to reduce the risk of failure. Accordingly, we design HealthGuide by considering critical adoption factors in the mHealth literature in addition to identifying user needs through user involvement. The system aims to provide guidance to users regarding their tasks in a hospital so that they can accomplish their tasks accurately and in the correct order, both inside and outside the hospital. Hence, HealthGuide empowers patients and helps improve the user experience and satisfaction by providing personalized services in a timely manner while also increasing the quality of healthcare services and the efficiency of healthcare providers. The outpatient treatment process is given as a sample scenario to demonstrate the capabilities of HealthGuide from the perspective of users. Benefits and challenges associated with HealthGuide are also discussed to highlight the implications of the system.
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2011eTELEMED: International Conference on eHealth, Telemedicine, and Social Medicine
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An increasing number of clinical trials are conducted in primary care settings. Making better use of existing data in the electronic health records to identify eligible subjects can improve efficiency of such studies. Our study aims to quantify the proportion of eligibility criteria that can be addressed with data in electronic health records and to compare the content of eligibility criteria in primary care with previous work.
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