Literature DB >> 25167866

Provider impressions of the use of a mobile crowdsourcing app in medical practice.

Max H Sims1, Maria Fagnano2, Jill S Halterman2, Marc W Halterman3.   

Abstract

In our prior work, we conducted a field trial of the mobile application DocCHIRP (Crowdsourcing Health Information Retrieval Protocol for Doctors), designed to help clinicians problem-solve at the point of care by crowdsourcing their peers. Here, we present the results of our post-trial survey that investigated the impressions of participating clinicians regarding the use of medical crowdsourcing and to identify factors influencing adoption of the technology. In all, 72 valid surveys were received from 85 registered users (85% response rate). The majority of clinicians (>80%) felt crowdsourcing would be useful to diagnose unusual cases, facilitate patient referrals, and problem-solve at the point of care. Perceived barriers to adoption included interruptions in workflow and the reluctance to publicly expose knowledge gaps. While considered a useful alternative to existing methods, future studies are needed to investigate whether the approach and application can be modified to effectively address these barriers, and to determine whether crowdsourcing will enhance provider performance and the quality of care delivered.
© The Author(s) 2014.

Entities:  

Keywords:  IT design and development; IT health care evaluation; clinical decision-making; collaborative work practices; information and knowledge management

Mesh:

Year:  2014        PMID: 25167866     DOI: 10.1177/1460458214545896

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  6 in total

1.  Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study.

Authors:  Adam M Sonabend; Brad E Zacharia; Michael B Cloney; Aarón Sonabend; Christopher Showers; Victoria Ebiana; Matthew Nazarian; Kristin R Swanson; Anne Baldock; Henry Brem; Jeffrey N Bruce; William Butler; Daniel P Cahill; Bob Carter; Daniel A Orringer; David W Roberts; Oren Sagher; Nader Sanai; Theodore H Schwartz; Daniel L Silbergeld; Michael B Sisti; Reid C Thompson; Allen E Waziri; Zoher Ghogawala; Guy McKhann
Journal:  Neurosurgery       Date:  2017-04-01       Impact factor: 4.654

2.  Crowdsourcing in a Pandemic: Pearls and Pitfalls From the Trainee Experience.

Authors:  Megan A Koster
Journal:  J Grad Med Educ       Date:  2021-03-15

3.  Assessing the global reach and value of a provider-facing healthcare app using large-scale analytics.

Authors:  Vikas O'Reilly-Shah; George Easton; Scott Gillespie
Journal:  BMJ Glob Health       Date:  2017-08-06

Review 4.  Applications of crowdsourcing in health: an overview.

Authors:  Kerri Wazny
Journal:  J Glob Health       Date:  2018-06       Impact factor: 4.413

5.  Mapping of Crowdsourcing in Health: Systematic Review.

Authors:  Perrine Créquit; Ghizlène Mansouri; Mehdi Benchoufi; Alexandre Vivot; Philippe Ravaud
Journal:  J Med Internet Res       Date:  2018-05-15       Impact factor: 5.428

6.  Social, Organizational, and Technological Factors Impacting Clinicians' Adoption of Mobile Health Tools: Systematic Literature Review.

Authors:  Christine Jacob; Antonio Sanchez-Vazquez; Chris Ivory
Journal:  JMIR Mhealth Uhealth       Date:  2020-02-20       Impact factor: 4.773

  6 in total

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