Results 81 to 90 of about 52,853 (237)

Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation

Journal of Clinical Nursing, EarlyView.
ABSTRACT Aims To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts based on Artificial Intelligence (DRAAI), and to assess the feasibility of the implementation plan. Design A process evaluation of a pilot implementation study using mixed methods. Methods Acceptability and feasibility of DRAAI among nurses from
Denise Spoon, Annemarie de Vroed, Steffen Greup, Monique van Dijk, Erwin Ista   +4 more
wiley   +1 more source

A randomized controlled trial for evaluating the impact of integrating a computerized clinical decision support system and a socially assistive humanoid robot into grand rounds during pre/post-operative care

Digital Health, 2022
Although clinical decision support systems (CDSSs) are increasingly emphasized as one of the possible levers for improving care, they are still not widely used due to different barriers, such as doubts about systems’ performance, their complexity and ...
Izidor Mlakar, Urška Smrke, Vojko Flis, Andrej Bergauer, Nina Kobilica, Tadej Kampič, Samo Horvat, Damjan Vidovič, Bojan Musil, Nejc Plohl   +9 more
doaj   +1 more source

Evaluating the effects of a hospital utilisation improvement program on platelet transfusions: A pre‐post study

Transfusion Medicine, EarlyView.
Abstract Background Annually millions of platelet concentrate (PC) are transfused worldwide. The decision regarding PC transfusion is often complex; therefore, the implementation of a hospital programme designed to streamline and facilitate the decision‐making process is beneficial. Such a programme helps standardise transfusion practices, ensures that
Piotr F. Czempik, Jakub Rudzki, Michał Porada   +2 more
wiley   +1 more source

Neighborhood Optimization for Therapy Decision Support

Current Directions in Biomedical Engineering, 2019
This work targets the development of a neighborhood-based Collaborative Filtering therapy recommender system for clinical decision support. The proposed algorithm estimates outcome of pharmaceutical therapy options in order to derive recommendations. Two
Gräßer Felix, Malberg Hagen, Zaunseder Sebastian   +2 more
doaj   +1 more source

Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System

International Conference on Human Factors in Computing Systems
Integration of artificial intelligence (AI) into clinical decision support systems (CDSS) poses a socio-technological challenge that is impacted by usability, trust, and human-computer interaction (HCI).
Niroop Rajashekar, Yeo Eun Shin, Yuan Pu, Sunny Chung, Kisung You, Mauro Giuffrè, Colleen E. Chan, Theo Saarinen, Allen Hsiao, Jasjeet Sekhon, Ambrose H Wong, Leigh V Evans, René F. Kizilcec, Loren Laine, Terika Mccall, D. Shung   +15 more
semanticscholar   +1 more source

Barriers to Adoption of a Child-Abuse Clinical Decision Support System in Emergency Departments

Western Journal of Emergency Medicine
Introduction: Child abuse is a leading cause of morbidity and mortality in children. The rate of missed child abuse in general emergency departments (ED), where 85% of children are evaluated, is higher than in pediatric EDs.
Alanna C. Peterson, Donald M. Yealy, Emily Heineman, Rachel P. Berger   +3 more
doaj   +1 more source

The effect of a Computerised Decision Support System (CDSS) on compliance with the prehospital assessment process: results of an interrupted time-series study

BMC Medical Informatics and Decision Making, 2014
BackgroundErrors in the decision-making process are probably the main threat to patient safety in the prehospital setting. The reason can be the change of focus in prehospital care from the traditional “scoop and run” practice to a more complex ...
M. Hagiwara, B. Suserud, B. Andersson-Gäre, B. Sjöqvist, M. Henricson, A. Jonsson   +5 more
semanticscholar   +1 more source

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

Applied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain, Hrittik Mural, Monowar Wadud Hridoy   +2 more
wiley   +1 more source

Deliver intelligence to integrate care: the Connecare way

International Journal of Integrated Care, 2019
Background: According to the European Patient Forum, patient empowerment is the process helping people gain control over their own lives, by increasing their ability to act on issues that they themselves regard as important.
Stefano Mariani, Eloisa Vargiu, Marco Mamei, Franco Zambonelli, Felip Miralles   +4 more
doaj   +1 more source

Design Clinical Decision Support System (CDSS) in Electronic Health Record to Early Detection of Stroke Disease, Diabetes Mellitus and to Prevent Interaction of Drug Content [PDF]

, 2022
Feby Erawantini, Arinda Lironika Suryana, Rinda Nurul Karimah, Arief Setyoargo, Nachrul Jinan, Khoirunnisa Afandi, Nugroho Setyo Wibowo, Asmak Afriliana, Raden Roro Lia Chairina   +8 more
openalex   +1 more source