Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review

Mobile Apps

Pieter Kubben  1
Pieter Kubben  1 , Michel Dumontier  2 , Andre Dekker  3
, editors.
In: Fundamentals of Clinical Data Science [Internet]. Cham (CH): Springer; 2019. Chapter 12.
.
Affiliations
Free Books & Documents
Review

Mobile Apps

Pieter Kubben.
Free Books & Documents

Excerpt

Mobile apps are an important source of data, but also an important tool for applying models. The goal of this chapter is to provide a short overview of relevant app development background including data collection tools, as well as provide a literature review on mobile clinical decision support systems. Regulatory issues will be touched upon to create awareness for this important topic.

PubMed Disclaimer

References

    1. Alexander GL. A descriptive analysis of a nursing home clinical information system with decision support. Perspect Health Inf Manag. 2008;5:12. - PMC - PubMed
    1. Berner ES, Houston TK, Ray MN, Allison JJ, Heudebert GR, Chatham WW, et al. Improving ambulatory prescribing safety with a handheld decision support system: a randomized controlled trial. J Am Med Inform Assoc. 2006;13(2):171–9. https://doi.org/10.1197/jamia.M1961. - DOI - PMC - PubMed
    1. Bochicchio GV, Smit PA, Moore R, Bochicchio K, Auwaerter P, Johnson SB, et al. Pilot study of a web-based antibiotic decision management guide. J Am Coll Surg. 2006;202(3):459–67. https://doi.org/10.1016/j.jamcollsurg.2005.11.010. - DOI - PubMed
    1. Bot BM, Suver C, Neto EC, Kellen M, Klein A, Bare C, et al. The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci Data. 2016;3:160011. https://doi.org/10.1038/sdata.2016.11. - DOI - PMC - PubMed
    1. Chan Y-FY, Bot BM, Zweig M, Tignor N, Ma W, Suver C, et al. The asthma mobile health study, smartphone data collected using ResearchKit. Sci Data. 2018;5:180096–11. https://doi.org/10.1038/sdata.2018.96. - DOI - PMC - PubMed

LinkOut - more resources