Results 211 to 220 of about 52,853 (237)

Clinical Decision Support System for Primary Care of Opioid Use Disorder: A Randomized Clinical Trial.

JAMA Internal Medicine
Importance Nearly 727 000 individuals in the US died of opioid overdoses between 1999 and 2022. The current workforce of addiction medicine specialists is inadequate to address the scale of this crisis, and primary care clinicians (PCCs) do not feel ...
R. Rossom, A. Crain, E. Wright, Anthony W Olson, Irina V Haller, Jacob L Haapala, Steven P. Dehmer, Stephanie A. Hooker, Leif I Solberg, Patrick J. O’Connor, Caitlin M Borgert-Spaniol, Jule Gorodisher, Kathleen Miley, Katrina M Romagnoli, Clayton I Allen, L. Tusing, Heidi L. Ekstrom, Deepika Appana, J. Sperl-Hillen, M. Kobylinski, Kristen Huntley, J. McCormack, Wei Chen, Gavin Bart   +23 more
semanticscholar   +1 more source

Designing and Evaluating an Ensemble Reasoning-based Clinical Decision Support System

Data Intelligence
A clinical decision support system (CDSS) can help physicians make clinical decisions, such as di ff erential diagnosis, therapy planning, or plan critiquing.
S. M. Rashid, Deborah L. McGuinness
semanticscholar   +1 more source

How a Clinical Decision Support System Changed the Diagnosis Process: Insights from an Experimental Mixed-Method Study in a Full-Scale Anesthesiology Simulation

International Conference on Human Factors in Computing Systems
Recent advancements in artificial intelligence have sparked discussions on how clinical decision-making can be supported. New clinical decision support systems (CDSSs) have been developed and evaluated through workshops and interviews.
Sara Wolf, T. Grundgeiger, Raphael Zähringer, Lora Shishkova, Franzisca Maas, Christina Dilling, Oliver Happel   +6 more
semanticscholar   +1 more source

Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments

Advances in Artificial Intelligence and Machine Learning
Emergency department (ED) overcrowding and the complexity of rapid decision-making in critical care settings pose significant challenges to healthcare systems worldwide.
Seungjun Han, Wongyung Choi
semanticscholar   +1 more source

Artificial Intelligence-Clinical Decision Support System in Infectious Disease Control: Combatting Multidrug-Resistant Klebsiella pneumoniae with Machine Learning

Infection and Drug Resistance
Purpose The World Health Organization has identified Klebsiella pneumoniae (KP) as a significant threat to global public health. The rising threat of carbapenem-resistant Klebsiella pneumoniae (CRKP) leads to prolonged hospital stays and higher medical ...
M. Jian, Tai-Han Lin, Hsing-Yi Chung, Chih-Kai Chang, C. Perng, Feng-Yee Chang, Hung-Sheng Shang   +6 more
semanticscholar   +1 more source

Leveraging Artificial Intelligence for Enhanced Clinical Decision Support Systems (CDSS)

Jordan Medical Journal
The integration of Artificial Intelligence (AI) into healthcare is driven by digitalization, aiming to enhance early disease diagnosis and treatment. Effective digital transformation in healthcare relies on assessing AI's potential and ensuring seamless collaboration between medical professionals and AI specialists.
null Dr. Pandurang M. Narhare, null Prof. Muthu Prasanna P, null Dr. Sharmila. B, null Dr Naresh Bhaskar Raj, null Sovan Bagchi   +4 more
openaire   +1 more source

Conceptual Design Principles for Data-Driven Clinical Decision Support Systems (CDSS)

2022
In an era where health organizations are constantly striving to increase the quality of care amidst significant challenges, such as the recent pandemic, the development of clinical decision support systems (CDSS) can make contextually relevant predictions that can contribute to more efficient and safe health systems.
openaire   +1 more source

Investigating Clinicians’ Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey

Journal of Medical Internet Research
Background An intelligence-enabled clinical decision support system (CDSS) is a computerized system that integrates medical knowledge, patient data, and clinical guidelines to assist health care providers make clinical decisions.
Rui Zheng, Xiaoyan Jiang, Li Shen, Tianrui He, Mengting Ji, Xingyi Li, Guangjun Yu   +6 more
semanticscholar   +1 more source

Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care

Journal of Clinical Monitoring and Computing, 2016
Improving diagnosis and treatment depends on clinical monitoring and computing. Clinical decision support systems (CDSS) have been in existence for over 50 years. While the literature points to positive impacts on quality and patient safety, outcomes, and the avoidance of medical errors, technical and regulatory challenges continue to retard their rate
Arnaud, Belard, Timothy, Buchman, Jonathan, Forsberg, Benjamin K, Potter, Christopher J, Dente, Allan, Kirk, Eric, Elster   +6 more
openaire   +2 more sources

Optimal use of β-lactams in neonates: machine learning-based clinical decision support system

EBioMedicine
Summary Background Accurate prediction of the optimal dose for β-lactam antibiotics in neonatal sepsis is challenging. We aimed to evaluate whether a reliable clinical decision support system (CDSS) based on machine learning (ML) can assist clinicians in
Bo‐Hao Tang, Bufan Yao, Wei Zhang, Xin-Fang Zhang, Shu-Meng Fu, Guo-Xiang Hao, Yue Zhou, De-Qing Sun, Gang Liu, John van den Anker, Yue-E. Wu, Yi Zheng, Wei Zhao   +12 more
semanticscholar   +1 more source