Results 61 to 70 of about 28,418,912 (162)

Clinical decision support for immunization (CDSi) [PDF]

The federal Advisory Committee on Immunization Practices (ACIP) provides expert advice and guidance on the use of vaccines and related agents for the control of vaccine-preventable disease in the United States.

core   +2 more sources

AI‐enhanced decision support for fall patients: streamlining inpatient flow in the emergency department

International Transactions in Operational Research, EarlyView.
Abstract Emergency department (ED) overcrowding and inefficient patient flow are significant operational challenges, often amplified by the volume of patients sustaining fall‐related injuries. This study predicts hospital admission for these encounters by leveraging unstructured clinical text: triage chief complaints (reasons for seeking care) and ...
Dinesh R. Pai, Usha Ananthakumar, Shruti Sureshan   +2 more
wiley   +1 more source

The Importance of Artificial Intelligence in Nursing: A Fundamentals of Care Perspective

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To analyze the integration of Artificial Intelligence in nursing through the lens of the Fundamentals of Care framework. Design A discursive paper. Methods This discursive paper synthesizes current literature and theoretical perspectives to examine the Relationship, Integration and Context dimensions of the Fundamentals of Care framework ...
João Oliveira, Paulo Nogueira, Cristina Baixinho, Andreia Costa   +3 more
wiley   +1 more source

Machine learning models in clinical decision support systems: a scoping review

Bulletin of the National Research Centre
Background Machine learning (ML) has increasingly been integrated into clinical decision support systems (CDSS) to improve diagnostic accuracy and clinical decision-making.
David Chinaecherem Innocent, Rejoicing Chijindum Innocent, Increase Praise Innocent   +2 more
doaj   +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

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

Digital Health and Technology‐Supported Interventions Supporting Advanced Practice Nurses in Cardiovascular Risk Management in Primary Care: A Scoping Review

Journal of Clinical Nursing, EarlyView.
ABSTRACT Objective To map and describe the digital health technologies and technology‐supported interventions used by advanced practice nurses for cardiovascular risk management in primary health care, including the advanced nursing functions they support.
Tahissa Frota Cavalcante, José Erivelton de Souza Maciel Ferreira, Caroline Evaristo Lourenço, Josemberg Pereira Amaro, João Cruz Neto, Lígia Maria Ferreira da Silva, Rafaella Pessoa Moreira, Ana Railka de Souza Oliveira‐Kumakura   +7 more
wiley   +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

Artificial Intelligence‐Driven Precision Bisphosphonate Therapy in Osteoporosis: Mechanisms, Clinical Applications, Risks, and Future Directions

Orthopaedic Surgery, EarlyView.
This comprehensive review integrates 17 benchmark studies to illustrate the transition of osteoporosis management toward precision medicine. The schematic highlights three key clinical applications: AI‐driven opportunistic screening from routine CTs, precision pharmacotherapy selection, and the predictive prevention of adverse events like MRONJ ...
Xiang Yao, Yicong Chao, Xiao Gu, Jingtao Peng, Jishan Yuan, Wei Shi, Fuguo Zhang, Qiwen Bao   +7 more
wiley   +1 more source

A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling [Pòster]

, 2019
Pòster de congrés presentat a: ICT 2018: Imagine Digital - Connect Europe (4-6 Desembre: Viena, Austria)PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and innovation project to develop a personalised ...
Imperial college London, PEPPER (Patient Empowerment through Predictive PERsonalised decision support), Oxford Brookes University, Institut d’Investigació Biomèdica de Girona (IdIBGi), Universitat de Girona   +4 more
core   +1 more source