Document Type
Article
Publication Date
4-2024
Abstract
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.
Recommended Citation
Cox, B.; Coustasse, A. Optimizing Oncological Care: The Influence of AI on Insurance Approvals. Pharmacy Times: Pharmacy Practice in Focus. 6.3, April, 2024;42-43. https://www.pharmacytimes.com/view/optimizing-oncological-care-the-influence-of-ai-on-insurance-approvals
Included in
Business Administration, Management, and Operations Commons, Management Information Systems Commons
Comments
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