Literature DB >> 28293580

mHealth and big data will bring meaning and value to patient-reported outcomes.

Anne Weiler1.   

Abstract

The intersection of widespread mobile adoption, cloud computing and healthcare will enable patient-reported outcomes to be used to personalize care, draw insights and shorten the cycle from research to clinical implementation. Today, patient-reported outcomes are largely collected as part of a regulatory shift to value-based or bundled care. When patients are able to record their experiences in real-time and combine them with passive data collection from sensors and mobile devices, this information can inform better care for each patient and contribute to the growing body of health data that can be used to draw insights for all patients. This paper explores the current limitations of patient reported outcomes and how mobile health and big data analysis unlocks their potential as a valuable tool to deliver care.

Entities:  

Keywords:  Mobile technology; big data; mHealth; patient-reported outcomes

Year:  2016        PMID: 28293580      PMCID: PMC5344114          DOI: 10.3978/j.issn.2306-9740.2016.01.02

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  1 in total

Review 1.  The answer is 17 years, what is the question: understanding time lags in translational research.

Authors:  Zoë Slote Morris; Steven Wooding; Jonathan Grant
Journal:  J R Soc Med       Date:  2011-12       Impact factor: 5.344

  1 in total
  4 in total

1.  "We're Taking Something So Human and Trying to Digitize": Provider Recommendations for mHealth in Palliative Care.

Authors:  Jennifer Dickman Portz; Kelsey Ford; David B Bekelman; Rebecca S Boxer; Jean S Kutner; Sara Czaja; Kira Elsbernd; Sheana Bull
Journal:  J Palliat Med       Date:  2019-09-17       Impact factor: 2.947

2.  What We Need to Prepare for the Fourth Industrial Revolution.

Authors:  Dukyong Yoon
Journal:  Healthc Inform Res       Date:  2017-04-30

3.  Toward understanding the impact of mHealth features for people with HIV: a latent class analysis of PositiveLinks usage.

Authors:  Chelsea E Canan; Tabor E Flickinger; Marika Waselewski; Alexa Tabackman; Logan Baker; Samuel Eger; Ava Lena D Waldman; Karen Ingersoll; Rebecca Dillingham
Journal:  Transl Behav Med       Date:  2021-02-11       Impact factor: 3.046

Review 4.  mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review.

Authors:  Maria Aguiar; Maria Trujillo; Deisy Chaves; Roberto Álvarez; Gorka Epelde
Journal:  JMIR Mhealth Uhealth       Date:  2022-09-09       Impact factor: 4.947

  4 in total

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