AIMC Topic: Health Personnel

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Health, Digital Health and Decision Support: Sisyphus and Pandora.

Studies in health technology and informatics
The history of medicine is punctuated by conquests, discoveries and revolutions. It is also marked by questioning. It is made of doubts and certainties. In this thousand years old history, certain recent battles bear witness to these questionings, su...

The Essence and Role of Nurses in the Future of Biomedical and Health Informatics.

Studies in health technology and informatics
The whole healthcare system is evolving fast due to environmental pressure related to pandemics, climate change, personnel shortages, and financial limitations, to name but a few. Nurses are central actors in the sustainability of healthcare systems....

Challenges and opportunities for mining adverse drug reactions: perspectives from pharma, regulatory agencies, healthcare providers and consumers.

Database : the journal of biological databases and curation
Monitoring drug safety is a central concern throughout the drug life cycle. Information about toxicity and adverse events is generated at every stage of this life cycle, and stakeholders have a strong interest in applying text mining and artificial i...

Development of a Knowledge Base for Chronic Wound Management Using the Decision Model & Notation.

Studies in health technology and informatics
Chronic wounds have significant impacts on patient health-related quality of life (HRQoL) and the healthcare expenditures. Various complex decision-making scenarios arise from wound management. Clinical decision-making systems (CDSS) can assist in re...

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.

European heart journal
The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular rese...

Educating the Healthcare Workforce to Support Digital Transformation.

Studies in health technology and informatics
Digital transformation of the healthcare workforce is a priority if we are to leverage the potential of digital technologies, artificial intelligence in clinical decision support and the potential of data captured within electronic health records. Ed...

The false hope of current approaches to explainable artificial intelligence in health care.

The Lancet. Digital health
The black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has been argued that explainable AI will engender trust with the health-c...