Assessing the Sensibility of Two Clinical Decision Support Systems
Journal of Medical Systems
New methods for clinical decision support in hospitals
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Mobile Technology Use in Medical Education
Journal of Medical Systems
Mobile Telemedicine: A Survey Study
Journal of Medical Systems
Wireless sensor network based E-health system ?? implementation and experimental results
IEEE Transactions on Consumer Electronics
An end stage kidney disease predictor based on an artificial neural networks ensemble
Expert Systems with Applications: An International Journal
Journal of Medical Systems
Hi-index | 0.00 |
The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.