Literature DB >> 24460614

How to identify, assess and utilise mobile medical applications in clinical practice.

T D Aungst1, K A Clauson, S Misra, T L Lewis, I Husain.   

Abstract

BACKGROUND: There are thousands of medical applications for mobile devices targeting use by healthcare professionals. However, several factors related to the structure of the existing market for medical applications create significant barriers preventing practitioners from effectively identifying mobile medical applications for individual professional use. AIMS: To define existing market factors relevant to selection of medical applications and describe a framework to empower clinicians to identify, assess and utilise mobile medical applications in their own practice.
MATERIALS AND METHODS: Resources available on the Internet regarding mobile medical applications, guidelines and published research on mobile medical applications.
RESULTS: Mobile application stores (e.g. iTunes, Google Play) are not effective means of identifying mobile medical applications. Users of mobile devices that desire to implement mobile medical applications into practice need to carefully assess individual applications prior to utilisation. DISCUSSION: Searching and identifying mobile medical applications requires clinicians to utilise multiple references to determine what application is best for their individual practice methods. This can be done with a cursory exploration of mobile application stores and then moving onto other available resources published in the literature or through Internet resources (e.g. blogs, medical websites, social media). Clinicians must also take steps to ensure that an identified mobile application can be integrated into practice after carefully reviewing it themselves.
CONCLUSION: Clinicians seeking to identify mobile medical application for use in their individual practice should use a combination of app stores, published literature, web-based resources, and personal review to ensure safe and appropriate use.
© 2014 John Wiley & Sons Ltd.

Mesh:

Year:  2014        PMID: 24460614     DOI: 10.1111/ijcp.12375

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  25 in total

1.  Médecins Sans Frontières' Clinical Guidance mobile application: analysis of a new electronic health tool.

Authors:  V Wright; M Dalwai; R Vincent Smith; J-P Jemmy
Journal:  Public Health Action       Date:  2015-12-21

2.  Computer Applications in Health Science Education.

Authors:  Juan A Juanes; Pablo Ruisoto
Journal:  J Med Syst       Date:  2015-08-08       Impact factor: 4.460

Review 3.  Compliance of blood donation apps with mobile OS usability guidelines.

Authors:  Sofia Ouhbi; José Luis Fernández-Alemán; José Rivera Pozo; Manal El Bajta; Ambrosio Toval; Ali Idri
Journal:  J Med Syst       Date:  2015-04-07       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

5.  Radiology education, mobile technology and medical apps.

Authors:  Thomas Lorchan Lewis; Timothy Dy Aungst; Charles Hutchinson
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2015-07-01

6.  21st century medical education: critical decision-making guidance through smartphone/tablet applications-the Lothian pilot.

Authors:  Oliver Prescott; Eoghan Millar; Graham Nimmo; Ann Wales; Simon Edgar
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2017-04-05

Review 7.  Personalized Technologies in Chronic Gastrointestinal Disorders: Self-monitoring and Remote Sensor Technologies.

Authors:  Muhammad Safwan Riaz; Ashish Atreja
Journal:  Clin Gastroenterol Hepatol       Date:  2016-05-14       Impact factor: 11.382

8.  Mobile Application Use Among Obstetrics and Gynecology Residents.

Authors:  Rachel Perry; Roshan M Burns; Rebecca Simon; Julie Youm
Journal:  J Grad Med Educ       Date:  2017-10

9.  Automated Characterization of Mobile Health Apps' Features by Extracting Information From the Web: An Exploratory Study.

Authors:  Alessia Paglialonga; Massimo Schiavo; Enrico Gianluca Caiani
Journal:  Am J Audiol       Date:  2018-11-19       Impact factor: 1.493

10.  Towards a low-cost mobile subcutaneous vein detection solution using near-infrared spectroscopy.

Authors:  Simon Juric; Vojko Flis; Matjaz Debevc; Andreas Holzinger; Borut Zalik
Journal:  ScientificWorldJournal       Date:  2014-04-30
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