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Optimizing Oncological Care: The Influence Of Ai On Insurance Approvals, Brian Cox, Alberto Coustasse
Optimizing Oncological Care: The Influence Of Ai On Insurance Approvals, Brian Cox, Alberto Coustasse
Management Faculty Research
Within the United States, oncological treatments represent a considerable portion of the health care landscape, in terms of both their prevalence and associated costs. The year 2022 witnessed 1.9 million new cancer cases and over 600,000 cancer-related deaths, signaling the pressing need for efficient strategies in managing and addressing challenges in oncology. Studies suggest that using AI-based systems to standardize clinical data submissions and integrate electronic health records using the Fast Healthcare Interoperability Resources data standard can optimize these processes further.