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

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

Kabir Sen (College of Business, Lamar University, Beaumont, TX, USA) and Kaushik Ghosh (Department of Information Systems and Analysis, College of Business, Lamar University, Beaumont, TX, USA)
DOI: 10.4018/IJHISI.2018010101

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.
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2. Crowdsourcing Typology

There are many types of crowdsourcing systems with different objectives. Crowd polling systems are often used as a method for getting information from crowds about their opinions, while crowd-solving systems involve the incorporation of numerous individuals in teams undertaking creative work (Peisl, Selen, Raeside, & Alber, 2014). Crowd processing systems rely on large number of contributions. Contributors collectively process tasks in sizable numbers to minimize the use of traditional organizational resources (Budescu & Chen, 2015). Crowdfunding is a special type of crowdsourced product that is used as a method for generating funds from many individuals to sponsor businesses, creative projects, charities, and more.

Crowd-solving involves gathering ideas from individuals and the aggregation of ‘intangible’ goods in the form of the crowds’ knowledge or information (Kamajian, 2015; Prpić, Taeihagh, & Melton, 2015). On the other hand, crowdsourcing strategies like crowdfunding and crowdpolling involve asking individuals to make ‘tangible’ contributions in the form of currency (crowdfunding) or votes (crowdpolling).

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