Literature DB >> 24399281

Mobile clinical decision support systems and applications: a literature and commercial review.

Borja Martínez-Pérez1, Isabel de la Torre-Díez, Miguel López-Coronado, Beatriz Sainz-de-Abajo, Montserrat Robles, Juan Miguel García-Gómez.   

Abstract

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.

Mesh:

Year:  2014        PMID: 24399281     DOI: 10.1007/s10916-013-0004-y

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  20 in total

1.  Development and evaluation of tools for measuring the quality of experience (QoE) in mHealth applications.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Sonia Candelas-Plasencia; Miguel López-Coronado
Journal:  J Med Syst       Date:  2013-09-07       Impact factor: 4.460

2.  Assessing the sensibility of two clinical decision support systems.

Authors:  Timothy A D Graham; Michael J Bullard; Andre W Kushniruk; Brian R Holroyd; Brian H Rowe
Journal:  J Med Syst       Date:  2008-10       Impact factor: 4.460

3.  The effect of a mobile clinical decision support system on the diagnosis of obesity and overweight in acute and primary care encounters.

Authors:  Nam-Ju Lee; Elizabeth S Chen; Leanne M Currie; Mary Donovan; Elizabeth K Hall; Haomiao Jia; Rita Marie John; Suzanne Bakken
Journal:  ANS Adv Nurs Sci       Date:  2009 Jul-Sep       Impact factor: 1.824

Review 4.  The use of personal digital assistants in clinical decision making by health care professionals: a systematic review.

Authors:  Pip Divall; Janette Camosso-Stefinovic; Richard Baker
Journal:  Health Informatics J       Date:  2013-03       Impact factor: 2.681

5.  Viable investigations and real-time recitation of enhanced ECG-based cardiac telemonitoring system for homecare applications: a systematic evaluation.

Authors:  S Palanivel Rajan; Sukanesh Rajamony
Journal:  Telemed J E Health       Date:  2013-04       Impact factor: 3.536

Review 6.  What is eHealth (3): a systematic review of published definitions.

Authors:  Hans Oh; Carlos Rizo; Murray Enkin; Alejandro Jadad
Journal:  J Med Internet Res       Date:  2005-02-24       Impact factor: 5.428

Review 7.  Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Internet Res       Date:  2013-06-14       Impact factor: 5.428

8.  PTT Advisor: A CDC-supported initiative to develop a mobile clinical laboratory decision support application for the iOS platform.

Authors:  Thomas G Savel; Brian A Lee; Greg Ledbetter; Sara Brown; Dale Lavalley; Julie Taylor; Pam Thompson
Journal:  Online J Public Health Inform       Date:  2013-07-01

9.  An analysis of the development and implementation of a smartphone application for the delivery of antimicrobial prescribing policy: lessons learnt.

Authors:  E Charani; Y Kyratsis; W Lawson; H Wickens; E T Brannigan; L S P Moore; A H Holmes
Journal:  J Antimicrob Chemother       Date:  2012-12-19       Impact factor: 5.790

Review 10.  Mobile apps in cardiology: review.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado; Jesús Herreros-González
Journal:  JMIR Mhealth Uhealth       Date:  2013-07-24       Impact factor: 4.773

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  38 in total

1.  Experiences and Results of Applying Tools for Assessing the Quality of a mHealth App Named Heartkeeper.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2015-09-07       Impact factor: 4.460

2.  Use of an agent-based simulation model to evaluate a mobile-based system for supporting emergency evacuation decision making.

Authors:  Yu Tian; Tian-Shu Zhou; Qin Yao; Mao Zhang; Jing-Song Li
Journal:  J Med Syst       Date:  2014-10-30       Impact factor: 4.460

3.  The Med AppJam: a model for an interprofessional student-centered mHealth app competition.

Authors:  Julie Youm; Warren Wiechmann
Journal:  J Med Syst       Date:  2015-02-15       Impact factor: 4.460

4.  Free blood donation mobile applications.

Authors:  Sofia Ouhbi; José Luis Fernández-Alemán; Ambrosio Toval; Ali Idri; José Rivera Pozo
Journal:  J Med Syst       Date:  2015-03-03       Impact factor: 4.460

Review 5.  Information Technology-Based Interventions to Improve Drug-Drug Interaction Outcomes: A Systematic Review on Features and Effects.

Authors:  Ehsan Nabovati; Hasan Vakili-Arki; Zhila Taherzadeh; Mohammad Reza Saberi; Stephanie Medlock; Ameen Abu-Hanna; Saeid Eslami
Journal:  J Med Syst       Date:  2016-11-26       Impact factor: 4.460

6.  Economic impact assessment from the use of a mobile app for the self-management of heart diseases by patients with heart failure in a Spanish region.

Authors:  José Antonio Cano Martín; Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2014-07-04       Impact factor: 4.460

7.  Developing a semantic web model for medical differential diagnosis recommendation.

Authors:  Osama Mohammed; Rachid Benlamri
Journal:  J Med Syst       Date:  2014-09-02       Impact factor: 4.460

8.  Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis.

Authors:  Devida Long; Muge Capan; Susan Mascioli; Danielle Weldon; Ryan Arnold; Kristen Miller
Journal:  Crit Care Nurse       Date:  2018-08       Impact factor: 1.708

9.  The Effect of a Mobile Health Decision Support System on Diagnosis and Management of Obesity, Tobacco Use, and Depression in Adults and Children.

Authors:  Suzanne Bakken; Haomiao Jia; Elizabeth S Chen; Jeeyae Choi; Rita Marie John; Nam-Ju Lee; Eneida Mendonca; William Dan Roberts; Olivia Velez; Leanne M Currie
Journal:  J Nurse Pract       Date:  2014       Impact factor: 0.767

Review 10.  The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics.

Authors:  Kristen Miller; Muge Capan; Danielle Weldon; Yaman Noaiseh; Rebecca Kowalski; Rachel Kraft; Sanford Schwartz; William S Weintraub; Ryan Arnold
Journal:  Int J Med Inform       Date:  2018-05-21       Impact factor: 4.046

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