Healthcare and medical technology firms are shifting their AI investments from clinical applications—like disease diagnosis and clinical trial identification—to backend processes, such as contract management. To succeed, experts emphasize the importance of structuring data for AI analysis, with structured data being systematically classified and unstructured data, like contracts, also needing processing. Companies must continually invest in employee training and skills development to leverage AI effectively, preparing both types of data to ensure algorithms function accurately and efficiently.
Healthcare companies are expanding AI from clinical applications to backend operations, like contract management, to improve efficiency and accuracy.
AI adoption requires structured data preparation; both structured and unstructured data must be managed to enhance algorithm effectiveness.
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