Difference between revisions of "Crowdsourcing"
(Crowdsourcing is a method in which organizations can collectively produce large knowledge bases. Applied to medicine, this concept has the potential to improve work up, diagnosis, and treatment.) |
|||
| Line 1: | Line 1: | ||
| − | Crowdsourcing is a specific type of outsourcing where an organization uses contributions from mainly unidentified users to quickly create a large amount of knowledge. | + | Crowdsourcing is a specific type of outsourcing where an organization uses contributions from mainly unidentified users to quickly create a large amount of knowledge.<ref>Crowdsourcing. (2016, October 19). In Wikipedia, The Free Encyclopedia. Retrieved 09:08, October 19, 2016, from https://en.wikipedia.org/w/index.php?title=Crowdsourcing&oldid=745111908</ref> Some of the most well known crowdsourced work includes sites like Wikipedia and Reddit. This method can be applied to [[Clinical Informatics]] through the use of [[Big Data]]. |
== Overview == | == Overview == | ||
| − | + | Crowdsourcing as it pertains to medicine can generally be divided into 3 main categories: health promotion, health research, and health maintenance.<ref>Crowdsourcing. (2016, October 19). In Wikipedia, The Free Encyclopedia. Retrieved 09:08, October 19, 2016, from https://en.wikipedia.org/w/index.php?title=Crowdsourcing&oldid=745111908</ref> However, the potential exists for crowdsourcing to improve Clinical Decision Support ([[CDS]]) for work up, diagnosis, and treatment of medical conditions. Each day, massive amounts of medical data are created, which can be leveraged to help guide best practice. Conceptually, users would be patients and/or physicians | |
== Channels == | == Channels == | ||
website or dashboard | website or dashboard | ||
| − | fully integrated into Electronic Health Record (EHR) | + | fully integrated into Electronic Health Record ([[EHR]]) |
== Potential Medical Applications == | == Potential Medical Applications == | ||
| Line 35: | Line 35: | ||
| − | + | ==References== | |
| + | <references/> | ||
Revision as of 16:54, 23 October 2016
Crowdsourcing is a specific type of outsourcing where an organization uses contributions from mainly unidentified users to quickly create a large amount of knowledge.[1] Some of the most well known crowdsourced work includes sites like Wikipedia and Reddit. This method can be applied to Clinical Informatics through the use of Big Data.
Contents
Overview
Crowdsourcing as it pertains to medicine can generally be divided into 3 main categories: health promotion, health research, and health maintenance.[2] However, the potential exists for crowdsourcing to improve Clinical Decision Support (CDS) for work up, diagnosis, and treatment of medical conditions. Each day, massive amounts of medical data are created, which can be leveraged to help guide best practice. Conceptually, users would be patients and/or physicians
Channels
website or dashboard fully integrated into Electronic Health Record (EHR)
Potential Medical Applications
Limitations
not medically trained funding more studies -not proven ethical implications
Examples
Medical Examples
References
- ↑ Crowdsourcing. (2016, October 19). In Wikipedia, The Free Encyclopedia. Retrieved 09:08, October 19, 2016, from https://en.wikipedia.org/w/index.php?title=Crowdsourcing&oldid=745111908
- ↑ Crowdsourcing. (2016, October 19). In Wikipedia, The Free Encyclopedia. Retrieved 09:08, October 19, 2016, from https://en.wikipedia.org/w/index.php?title=Crowdsourcing&oldid=745111908
Submitted by Andrew Muth, MD
