Results 31 to 40 of about 6,194 (173)

A data-driven approach to clinical decision support in tinnitus retraining therapy

Frontiers in Neuroinformatics, 2022
BackgroundTinnitus, known as “ringing in the ears”, is a widespread and frequently disabling hearing disorder. No pharmacological treatment exists, but clinical management techniques, such as tinnitus retraining therapy (TRT), prove effective in helping ...
Katarzyna A. Tarnowska, Zbigniew W. Ras, Zbigniew W. Ras, Pawel J. Jastreboff   +3 more
doaj   +1 more source

Designing a Clinical Decision Support System (CDSS) for the Implementation of INA-CBGs

Jurnal Manajemen Informasi Kesehatan (Health Information Management), 2023
The implementation of the INA-CBG system still faces several challenges, including the discrepancy between actual hospital costs and INA-CBG costs. These challenges can be minimized using a comprehensive information system. A Clinical Decision Support System is a system designed to support practitioner decision-making in the clinical management of ...
Riska Pradita, Rahmawati -, Widya Putri
openaire   +1 more source

The Effects of Implementing Clinical Decision Support Systems on the Diagnosis, Treatment and Management of Cancers: A Systematic Review

پیاورد سلامت, 2022
Background and Aim: Cancer is the second leading cause of death in the world, which leads to the death of more than 10 million people in the world every year.
saman Mohammadpour, Reza Rabiei, Elham Shabahrami, Kamyar Fathisalari, Maryam Khakzad, Mostafa Langarizadeh   +5 more
doaj  

Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications

International Journal of Telemedicine and Applications, 2017
In this paper, we present the design of a clinical decision support system (CDSS) for monitoring comorbid conditions. Specifically, we address the architecture of a CDSS by characterizing it from three layers and discuss the algorithms in each layer ...
Aihua Fan, Di Lin, Yu Tang
doaj   +1 more source

E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review

Antibiotics, 2020
(1) Background: e-Health tools, especially in the form of clinical decision support systems (CDSSs), have been emerging more quickly than ever before. The main objective of this systematic review is to assess the influence of these tools on antibiotic ...
Érico Carvalho, Marta Estrela, Maruxa Zapata-Cachafeiro, Adolfo Figueiras, Fátima Roque, Maria Teresa Herdeiro   +5 more
doaj   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems.

PLOS Digital Health, 2022
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete use ...
Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V Zicari, Vince Istvan Madai, Z-Inspection initiative   +14 more
doaj   +2 more sources

Investigating the Role of Clinical Decision Support Systems in Reducing Medical Errors [PDF]

مجله انفورماتیک سلامت و زیست پزشکی, 2023
Introduction: This study aimed to investigate the role of clinical decision support systems in reducing medical errors from the perspective of physicians and nurses in the teaching and therapeutic hospitals. Method: This descriptive cross-sectional study
Faezeh Hajieslam, Zohreh Javanmard
doaj  

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Computerised clinical decision support system for the diagnosis of pulmonary thromboembolism: a preclinical pilot study

BMJ Open Quality, 2023
Background Recommendations for the diagnosis of pulmonary embolism are available for healthcare providers. Yet, real practice data show existing gaps in the translation of evidence-based recommendations.
William A Ghali, Brenda Hemmelgarn, Ward Flemons, Kevin McLaughlin, Ghazwan Altabbaa, Sheelagh Carpendale, Torre Zuk   +6 more
doaj   +1 more source