Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence

Purpose: A comprehensive return on investment (ROI) calculator was developed to evaluate the monetary and nonmonetary benefits fi ts of an artificial intelligence (AI)-powered-powered radiology diagnostic imaging platform to inform decision makers interested in adopting AI. Methods: A calculator was constructed to calculate comparative costs, estimated revenues, and quantify the clinical value of using an AI platform compared with no use of AI in radiology workflowsof a US hospital over a 5-year time horizon. Parameters were determined on the basis of expert interviews and a literature review. Scenario and deterministic sensitivity analyses were conducted to evaluate calculator drivers. Results: In the calculator, the introduction of an AI platform into the hospital radiology workflow fl ow resulted in labor time reductions and delivery of an ROI of 451% over a 5-year period. The ROI was increased to 791% when radiologist time savings were considered. Time savings for radiologists included more than 15 8-hour working days of waiting time, 78 days in triage time, 10 days in reading time, and 41 days in reporting time. Using the platform also provided revenue benefits for the hospital in bringing in patients for clinically beneficial fi cial follow-up scans, hospitalizations, and treatment procedures. Results were sensitive to the time horizon, health center setting, and number of scans performed. Among those, the most influential fl uential outcome was the number of additional necessary treatments performed because of AI identification fi cation of patients. Conclusions: The authors demonstrate a substantial 5-year ROI of implementing an AI platform in a stroke management-accredited-accredited hospital. The ROI calculator may be useful for decision makers evaluating AI-powered radiology platforms.