RESUMO
The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce. As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application areas and benefits of hospital AI technologies. This is structured as a current review and opinion article from a diverse range of researchers and health care professionals. This contributes to important improvement options also for pandemic crises challenges, e.g., the current COVID-19 situation. The expected advantages as well as challenges regarding data protection, privacy, or human acceptance are reported. Altogether, the diversity of application cases is a core characteristic of AI applications in hospitals, and this requires a specific approach for successful implementation in the health care sector. This can include specialized solutions for hospitals regarding human-computer interaction, data management, and communication in AI implementation projects.
RESUMO
Se hace un estudio de 992 necropsias no médico legales de los fallecimientos ocurridos durante el año 1985 en el Hospital Docente Clínico Quirúrgico de Santa Clara. Se determinó el índice general de necropsias y de cada servicio y la correlación anatomo-clínica de la muestra; además se estableció el índice de error diagnóstico correspondiente a cada servicio. Se señalaron las causas de muerte con menor correlación por aparatos o sistemas