Healthcare leaders Debbie Cancilla of Temple University Health System and Joshua Glandordf of UC San Diego, discuss the challenges of quantifying AI’s ROI, noting the lack of standard reimbursement codes and the importance of evaluating both tangible and intangible benefits. They highlight operational efficiencies, such as labor cost savings and scalability, alongside improved clinician and patient experiences. ROI measurement requires flexibility, adapting to unique use cases like improving outcomes or enhancing workflows, proving AI’s value beyond dollars and cents.
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