Context 

The LASO project aims to harness the potential of AI-driven solutions to improve the common good within healthcare. Current AI applications in healthcare are capable of processing complex data and delivering consistent, precise outcomes at scale. In hospitals, where resources such as qualified personnel are limited, AI presents an opportunity to enhance patient care by reducing administrative burdens, speeding up processes, and cutting costs. However, AI implementation in the clinical practice of hospitals remains limited. Decision-makers such as CEOs, CTOs, and innovation managers often struggle to identify feasible AI use cases, missing opportunities for solutions that could serve the common good. Many AI-initiatives remain technology-driven, top-down approaches, which increase the risk of failure at the implementation stage. Moreover, research departments and AI providers tend to offer solutions without considering the societal impacts or benefits for hospitals, patients and employees. Addressing these challenges requires a multidisciplinary approach to the design and implementation of AI-driven solutions in healthcare.

The LASO project (HospitaL-centric AI Selection and Operationalization blueprint approach)

The LASO project focuses on creating a comprehensive methodology to support AI-driven innovation in hospitals, with an emphasis on the common good. The project’s core mission is to integrate existing frameworks and tools to create tailored AI-solutions that are trustworthy, robust, and ethically responsible. The goal is to “de-risk” the innovation process by providing a systematic blueprint prior to acquiring, developing and implementing AI-based solutions. The key objectives of the LASO project are to:

Map and compare existing tools and frameworks for AI implementation and innovation

Co-create a systematic methodology and supporting materials to identify and map current hospital processes in need of AI solutions. This includes envisioning AI-driven approaches that are both demand-driven and focused on the common good, while also being technically feasible within the current state of AI development.

Test and validate this methodology through practical use cases within hospital settings

Expected results

The anticipated outcome of the LASO project is a systematic approach for de-risking AI innovations. This approach will assist in identifying AI opportunities and selecting relevant use cases that align with the common good in healthcare settings. To ensure broad applicability, training materials and supporting guidelines will be co-created by a diverse group of researchers, industry experts and hospital stakeholders. These tools will provide a blueprint for designing, developing, and integrating AI innovations in hospitals.