Designing Effective Crowdsourcing Systems for the Healthcare Industry

Designing Effective Crowdsourcing Systems for the Healthcare Industry

Kabir Sen (Lamar University, Beaumont, USA) and Kaushik Ghosh (Lamar University, Beaumont, USA)
Copyright: © 2018 |Pages: 6
DOI: 10.4018/IJPHME.2018070104

Abstract

This article describes how healthcare faces many challenges. Among them is the inability of patients to seek and receive treatment based on their preferences. Patients characteristically pursue solutions to their medical problems that suit their individual needs. However, care providers and other stakeholders including healthcare insurance providers seem to ‘limit' patients' ability to access affordable and quality healthcare. Discourse in prior research has indicated that the use of crowdsourcing may provide patients access to treatments that can solve their medical problems. This article is an extension of extant research that describes the main challenges facing healthcare. It advances current research by presenting ideas through which these challenges can be mitigated. The core ideas proposed encompass the elements of crowdsourcing systems that will include participation of individuals in the crowd without any bias, enable knowledge sharing among all members of the crowd, and provide opportunities for testing the solutions proposed by the crowd.
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The Four Healthcare Challenges

The “Known Known” Problems: In spite of a solution to a medical problem existing in certain parts of the world, the answer does not appear to be “generalizable”. Sometimes, the opposition to generalizability can come from ignorance based on superstition or beliefs that do not emanate from scientific evidence. On other occasions, the resistance may come from groups that have a vested interest in maintaining the status quo. This could occur when a particular company or sector of the industry will see their sales or profits decline if more globally efficient medical solutions emerge.

The effective antidote to these problems are:

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