TECH OUTLOOK 8DECEMBER - 2021IN MY OPINIONHumans and Innovation--When AI Improves Patients' Safety and Operational EfficiencyBy Dr Alessandro Roncacci, Senior VP, Chief Medical Officer, AffideaAI is said to bring incredible benefits to the clinical workflow. But what happens when smart technology, data, and humans join forces and work together seamlessly? Demonstrating the value of AI is a challenge in the real world. We are now witnessing the shift from whether AI can bring benefits in the clinical workflow and outcomes and how effectively we can evaluate the AI algorithm and implement it in a multi-country environment to ensure that it delivers the promised value. This is a question which remains open, and it depends on how mature the AI algorithm is and how structured and standardised the healthcare provider is.At Affidea, we have an ideal environment in terms of geographical presence, multinational clinical expertise, best technology across 15 different healthcare markets, and a team of sub-specialty experts. Over the past two years, we have been involved in several pilots to assess the clinical, operational use, and commercial opportunities associated with AI-enabled technologies in Radiology. Our aim was to verify how some AI solutions could qualitatively support the reporting activity of our radiologists in specific disciplinary areas or how they can contribute to increase the safety of our patients who undergo diagnostic tests or to optimize the operational processes that govern our daily workflows. In all cases, we have expanded our experience and confirmed that artificial intelligence capabilities are developing every year, and technology can certainly ease the burden of overburdened resources without replacing the unique skills of doctors and practitioners of the healthcare sector. The smart integration of AI can improve the lives of everyone that interacts with i--patients, medical personnel, and operations overall.We have created a nine-stage framework for the evaluation and commercialization of AI solutions, including: · Selection criteria for AI solutions, countries, and centres; · Legal review including medical device class and data protection impact assessment;
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