Developing Effective Crowdsourcing Systems for Medical Diagnosis: Challenges and Recommendations

Sen, Kabir and Ghosh, Kaushik (2017) Developing Effective Crowdsourcing Systems for Medical Diagnosis: Challenges and Recommendations. Hawaii International Conference On System Sciences (HICSS).

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Diverse medical traditions follow different ‘grammar’ making encapsulation of varied body of knowledge challenging. However, the advances in information technology in the 21st century provide an opportunity to aggregate knowledge from varied cultures and medical traditions to tackle difficult health issues for which no cure has been developed. In addition to accumulating knowledge from wideranging sources, an ideal crowdsourcing system (CS) can benefit from the use of appropriate algorithms to choose the best solution. This conceptual paper examines existing classification of crowdsourcing and the various challenges involved with the capture and transmission of medical knowledge. It proposes the steps involved in developing an effective CS for dealing with medical problems. The ideal CS should involve the crowd and medical experts from all across the world, who together with the help of algorithms and other technology features in the CS could provide a useful solution for hard to solve health problems.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
T Technology > T Technology (General)
Divisions: Faculty of Industrial Engineering and Informatics > Information System
Depositing User: staff repository 3
Date Deposited: 30 Jul 2018 14:46
Last Modified: 30 Jul 2018 14:46

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