The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Designing Effective Crowdsourcing Systems for the Healthcare Industry
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.
Related Content
|
Rais Abdul Hamid Khan, Yogesh Kantilal Sharma, Mandar S Karyakarte, Bipin Sule, Aarti Amod Agarkar.
© 2024.
11 pages.
|
|
Dwijendra Nath Dwivedi, Ghanashyama Mahanty, Shafik Khashouf.
© 2024.
14 pages.
|
|
Patel Janit Umeshbhai, Panchal Yash Kanubhai, Shaikh Mohammed Bilal, Shanti Verma.
© 2024.
13 pages.
|
|
Swaminathan Kalyanaraman, Sivaram Ponnusamy, S. Saju, S. Sangeetha, R. Karthikeyan.
© 2024.
14 pages.
|
|
Delshi Howsalya Devi, P. Santhosh Kumar, M. Aruna, S. Sharmila.
© 2024.
23 pages.
|
|
Mamta P. Khanchandani, Sanjay H. Buch, Shanti Verma, K. Baskar.
© 2024.
13 pages.
|
|
Harshita Chourasia, Neha Tiwari, Shraddha Raut, Anansingh Thinakaran, Anirudh A. Bhagwat.
© 2024.
13 pages.
|
|
|