Evidence map›Paper›PMID 24399281›Full record

ReviewJournal of medical systems2014

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

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

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Use of handheld computers in clinical practice: a systematic review.BMC medical informatics and decision making · 2014
    Pooled it
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  7. Article
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  19. Development and Usage ofJCO clinical cancer informatics · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Borja Martínez-PérezDepartment of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Paseo de Belén, 15., 47011, Valladolid, Spain, borja.martinez@uva.es.
Isabel de la Torre-Díez
Miguel López-Coronado
Beatriz Sainz-de-Abajo
Montserrat Robles
Juan Miguel García-Gómez

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Mobile ApplicationsDecision Support Systems, ClinicalHealth PersonnelHumansMedicineQuality of Health CareUser-Computer Interface

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.