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ML-Enabled Informed Intervention for Crowdsourcing-Based Optimization of Medical Resources

ML-Enabled Informed Intervention for Crowdsourcing-Based Optimization of Medical Resources

Irfan Siddavatam, Ashwini Dalvi, Abhishek Patel, Aditya Panchal, Aditya S. Vedpathak, Viraj Thakkar
Copyright: © 2022 |Pages: 25
ISBN13: 9781799877097|ISBN10: 1799877094|EISBN13: 9781799877103
DOI: 10.4018/978-1-7998-7709-7.ch017
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MLA

Siddavatam, Irfan, et al. "ML-Enabled Informed Intervention for Crowdsourcing-Based Optimization of Medical Resources." Handbook of Research on Applied Intelligence for Health and Clinical Informatics, edited by Anuradha Dheeraj Thakare, et al., IGI Global, 2022, pp. 291-315. https://doi.org/10.4018/978-1-7998-7709-7.ch017

APA

Siddavatam, I., Dalvi, A., Patel, A., Panchal, A., Vedpathak, A. S., & Thakkar, V. (2022). ML-Enabled Informed Intervention for Crowdsourcing-Based Optimization of Medical Resources. In A. Thakare, S. Wagh, M. Bhende, A. Anter, & X. Gao (Eds.), Handbook of Research on Applied Intelligence for Health and Clinical Informatics (pp. 291-315). IGI Global. https://doi.org/10.4018/978-1-7998-7709-7.ch017

Chicago

Siddavatam, Irfan, et al. "ML-Enabled Informed Intervention for Crowdsourcing-Based Optimization of Medical Resources." In Handbook of Research on Applied Intelligence for Health and Clinical Informatics, edited by Anuradha Dheeraj Thakare, et al., 291-315. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-7709-7.ch017

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Abstract

It is said that every adversity presents the opportunity to grow. The current pandemic is a lesson to all healthcare infrastructure stakeholders to look at existing setups with an open mind. This chapter's proposed solution offers technology assistance to manage patient data effectively and extends the hospital data management system's capability to predict the upcoming need for healthcare resources. Further, the authors intend to supplement the proposed solution with crowdsourcing to meet hospital demand and supply for unprecedented medical emergencies. The proposed approach would demonstrate its need in the current pandemic scenario and prepare the healthcare infrastructure with a more streamlined and cooperative approach than before.

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