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Patient safety & clinical decision support systems (CDSS): A case study in Turkey
2015 E-Health and Bioengineering Conference (EHB), 2015Decision making process is crucial in several stages of clinical procedures. On the other hand, there are not many studies showing the implications of decision support systems in clinical environments. Hence, adaptation of Decision Support Systems to clinical environment is getting more important as we can collect more data through sensors and yet ...
Gonca Gokce Menekse +2 more
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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 +6 more
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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 +6 more
openaire +2 more sources
2019
This document describes the development of a Business Intelligence (BI) dashboard for tracking the drug-drug interaction (DDI) alerts implemented as Clinical Decision Support Systems (CDSS) in Electronic Health Records (EHR). CDSS are known for their potential to reduce medical error.
Vania Teixeira +4 more
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This document describes the development of a Business Intelligence (BI) dashboard for tracking the drug-drug interaction (DDI) alerts implemented as Clinical Decision Support Systems (CDSS) in Electronic Health Records (EHR). CDSS are known for their potential to reduce medical error.
Vania Teixeira +4 more
openaire +3 more sources
ROC analysis for clinical decision support systems (CDSS) results in digital mammography images
Medical VisualizationArtificial intelligence and clinical decision support systems (CDSS) are being actively implemented in healthcare. Radiology is at the forefront of the use of such technologies. In this article, we describe a method for evaluating the performance of CDSS, including software based on artificial intelligence technologies (AI-based software), which is ...
M. Yu. Khrustacheva +3 more
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Russian Journal of Telemedicine and E-Health
The AIST_PARTUS service is an intelligent central partogram monitoring system with automated assessment of critical maternal and fetal health indicators during labor, labor progress analysis (sufficient frequency and duration of contractions/ cervical dilation/progression of the fetal head), and the generation of region-wide alert lists for labor ...
N.O. Ankudinov +5 more
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The AIST_PARTUS service is an intelligent central partogram monitoring system with automated assessment of critical maternal and fetal health indicators during labor, labor progress analysis (sufficient frequency and duration of contractions/ cervical dilation/progression of the fetal head), and the generation of region-wide alert lists for labor ...
N.O. Ankudinov +5 more
openaire +1 more source
AI Clinical Decision Support System (AI-CDSS) for Cardiovascular Diseases
2023 International Conference on Computer Science and Emerging Technologies (CSET), 2023Poomari Durga. K, M.S. Abirami
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Leveraging AI and Machine Learning for Next-Generation Clinical Decision Support Systems (CDSS)
Missed diagnoses and medication errors are significant risks in healthcare, leading to increased patient morbidity and mortality. Traditional Clinical Decision Support Systems (CDSS) rely on static, predefined rules, limiting their adaptability to personalized patient care.Uddalak Mitra, Shafiq UI Rehman
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