Incorporating Global Medical Knowledge to Solve Healthcare Problems: A Framework for a Crowdsourcing System

Kabir Sen and Kaushik Ghosh
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Kabir Sen: College of Business, Lamar University, Beaumont, TX, USA
Kaushik Ghosh: Department of Information Systems and Analysis, College of Business, Lamar University, Beaumont, TX, USA

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2018, vol. 13, issue 1, 1-14

Abstract: Global medical knowledge incorporates knowledge from diverse traditions which follow different ‘grammar', making encapsulation of medical knowledge a challenging task. Current advances in technology enable the aggregation of medical knowledge from varied traditions to confront difficult health issues for which cure is yet to be developed. In addition to accumulating knowledge from wide-ranging sources, an ideal crowdsourcing system can benefit from the use of appropriate software algorithms to select the best solution. This research suggests a step approach scheme to develop a crowdsourcing system for medical diagnosis by applying an existing classification of crowdsourcing. The proposed crowdsourcing system will involve the crowd and medical experts from across the world, who together with the help of software algorithms, could provide useful solutions for hitherto difficult to solve health problems.

Date: 2018
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International Journal of Healthcare Information Systems and Informatics (IJHISI) is currently edited by Qiang (Shawn) Cheng

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