AIMC Topic: Decision Support Systems, Clinical

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The impact of AI-based decision support systems on nursing workflows in critical care units.

International nursing review
AIM: This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan.

[AI in mental healthcare: hope or hype?].

Nederlands tijdschrift voor geneeskunde
Artificial Intelligence (AI) holds promise for addressing significant challenges in mental healthcare, such as workforce shortages, waiting lists, and the need for personalized diagnostics and treatments. However, current high expectations contrast w...

Prioritizing disability support systems by using Tamir's complex fuzzy Dombi aggregation operators.

Scientific reports
Fuzzy sets can model the inherent ambiguity and subjectivity in disability assessment by allowing for flexible classification and decision-making. This contributes to the development of flexible clinical support systems that are effective in meeting ...

Explainable Versus Interpretable AI in Healthcare: How to Achieve Understanding.

Studies in health technology and informatics
The increasing adoption of deep learning methods has intensified the demand for explanations regarding how AI systems generate their results. This necessity originated primarily in the domain of image processing and has expanded to encompass the comp...

Transforming Healthcare: The Role of Artificial Intelligence.

Studies in health technology and informatics
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by enhancing diagnostic accuracy, personalising treatment strategies, and improving administrative efficiency. This study aims to evaluate the impact of A...

Medication Recommender System for ICU Patients Using Autoencoders.

Studies in health technology and informatics
Patients admitted to the intensive care unit (ICU) are often treated with multiple high-risk medications. Over- and underprescribing of indicated medications, and inappropriate choice of medications frequently occur in the ICU. This risk has to be mi...

N!CA: Towards Digitalisation of Innovative Care Processes to Unburden and Empower Nurses.

Studies in health technology and informatics
Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases, multimorbidity and other health-related issues. Austrian nurses have a low job satisfaction and overall retention time in their job, due to high wor...

Clinical Trust in Data-Driven Decision Support Tools: Qualitative Interview Study.

Studies in health technology and informatics
Data-driven clinical decision support (CDSS) is increasingly available to healthcare practitioners (HCPs), yet little is known about their trust in such tools. Primary care and oncology practitioners were interviewed about their use of data-driven CD...

Participatory Design of an AI-Based CDSS for Delirium Prevention.

Studies in health technology and informatics
Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and cognitive impairment. The KIDELIR project aims to develop a clinical decision support system (CDSS) based on artificial intelligence (AI) to predict ...

Clinical Requirements for Transparent Machine Learning Model Information: A Mixed Methods Study Protocol.

Studies in health technology and informatics
Limited transparency of machine learning models poses risks their effective use. Through semi-structured interviews with physicians, this mixed methods study will qualitatively identify requirements for transparent machine learning model information ...