Optimizing Worker’s Compensation Outcomes Through Technology: A Review and Framework for Implementations |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-3 |
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| Year of Publication : 2024 | ||
| Authors : Pankaj Zanke, Suman Deep, Saigurudatta Pamulaparthyvenkata, Dipti Sontakke | ||
| DOI : 10.14445/22312803/IJCTT-V72I3P110 | ||
How to Cite?
Pankaj Zanke, Suman Deep, Saigurudatta Pamulaparthyvenkata, Dipti Sontakke, "Optimizing Worker’s Compensation Outcomes Through Technology: A Review and Framework for Implementations," International Journal of Computer Trends and Technology, vol. 72, no. 3, pp. 66-75, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I3P110
Abstract
This research investigates the potential of harnessing technology to optimize Worker's Compensation (WC) outcomes. By integrating Artificial Intelligence (AI), Machine Learning (ML), and other cutting-edge technologies, the efficiency, transparency, and cost-effectiveness of the WC system can be significantly improved. The traditional WC system grapples with issues such as inefficient processes, limited transparency, and rising costs. This study proposes a framework to address these shortcomings and enhance WC outcomes for various businesses. Key technologies explored include AI, ML, communication tools, data analytics, Internet of Things (IoT), and automation. Implementing these technologies is crucial for streamlining workflows, fostering improved communication, and mitigating potential risks. The paper delves into established solutions, potential benefits and drawbacks, and crucial considerations for deploying advanced technological solutions within WC systems. Finally, a comprehensive framework for WC system technology implementation is presented. This framework emphasizes stakeholder needs assessment, technology selection processes, addressing challenges, and execution strategies. This framework aims to facilitate the adoption of advanced technological solutions within the WC domain, ultimately benefiting all stakeholders involved in the insurance industry.
Keywords
Artificial intelligence (AI), Data analytics, Internet of Things (IoT), Risk management, Worker's Compensation.
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