The LASO project aims at identifying and developing a methodology to stimulate and support innovation with AI for the common good in hospitals that have been acknowledged as key elements within health innovation systems. AI driven solutions have a lot of potential to improve the common good within healthcare. Current AI solutions can already work with semantically complex data, analyze large volumes of information in limited time, consistent and precise outcomes improving over time. However, as with any technology there are risks connected to these innovations, most importantly risks that go against biomedical ethical requirements: autonomy, benefit, non-crime, and justice.
The main objective of the LASO project is therefore to de-risk an innovation when implementing anew AI driven solution within hospitals and other complex care organizations, by offering a systematic blueprinting process before an AI solution is acquired, developed, and implemented. This methodology will enable both AI developing companies as well as health care organizations that search for AI-based solutions for the common good to select demand driven use case and anticipate various implementation challenges.
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