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Legal and ethical issues surrounding the use of crowdsourcing among healthcare providers.
Sims, Max H; Hodges Shaw, Margie; Gilbertson, Seth; Storch, Joseph; Halterman, Marc W.
Affiliation
  • Hodges Shaw M; University of Rochester Medical Center, USA.
  • Gilbertson S; University at Buffalo, The State University of New York, USA.
  • Storch J; The State University of New York, USA.
  • Halterman MW; University of Rochester Medical Center, USA.
Health Informatics J ; 25(4): 1618-1630, 2019 12.
Article in En | MEDLINE | ID: mdl-30192688
ABSTRACT
As the pace of medical discovery widens the knowledge-to-practice gap, technologies that enable peer-to-peer crowdsourcing have become increasingly common. Crowdsourcing has the potential to help medical providers collaborate to solve patient-specific problems in real time. We recently conducted the first trial of a mobile, medical crowdsourcing application among healthcare providers in a university hospital setting. In addition to acknowledging the benefits, our participants also raised concerns regarding the potential negative consequences of this emerging technology. In this commentary, we consider the legal and ethical implications of the major findings identified in our previous trial including compliance with the Health Insurance Portability and Accountability Act, patient protections, healthcare provider liability, data collection, data retention, distracted doctoring, and multi-directional anonymous posting. We believe the commentary and recommendations raised here will provide a frame of reference for individual providers, provider groups, and institutions to explore the salient legal and ethical issues before they implement these systems into their workflow.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Health Personnel / Decision Support Systems, Clinical / Crowdsourcing Type of study: Guideline / Prognostic_studies Aspects: Ethics Limits: Humans Country/Region as subject: America do norte Language: En Journal: Health Informatics J Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Health Personnel / Decision Support Systems, Clinical / Crowdsourcing Type of study: Guideline / Prognostic_studies Aspects: Ethics Limits: Humans Country/Region as subject: America do norte Language: En Journal: Health Informatics J Year: 2019 Document type: Article