Results 21 to 30 of about 32,727 (270)

Role of a Digital Clinical Decision–Support System in General Practitioners’ Management of COPD in Norway

International Journal of COPD, 2021
Varun Kumar Vijayakumar,1 Tehmina Mustafa,1,2 Bjarte Kjell Nore,3 Kjell Yngvard Garatun-Tjeldstø,4 Øystein Næss,5 Odd Erik Johansen,6 Bernt Bøgvald Aarli2,7 1Centre for International Health, Department of Global Public Health ...
Vijayakumar VK, Mustafa T, Nore BK, Garatun-Tjeldstø KY, Næss Ø, Johansen OE, Aarli BB   +6 more
doaj  

Expectation of clinical decision support systems: a survey study among nephrologist end-users

BMC Medical Informatics and Decision Making, 2023
Background Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality.
Fruzsina Kotsis, Helena Bächle, Michael Altenbuchinger, Jürgen Dönitz, Yacoub Abelard Njipouombe Nsangou, Heike Meiselbach, Robin Kosch, Sabine Salloch, Tanja Bratan, Helena U. Zacharias, Ulla T. Schultheiss   +10 more
doaj   +1 more source

Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review

Implementation Science, 2023
Background Successful implementation and utilization of Computerized Clinical Decision Support Systems (CDSS) in hospitals is complex and challenging.
Bridget Abell, Sundresan Naicker, David Rodwell, Thomasina Donovan, Amina Tariq, Melissa Baysari, Robin Blythe, Rex Parsons, Steven M. McPhail   +8 more
doaj   +1 more source

DEVELOPMENT OF CONCEPTS NOMENCLATURE FOR CLINICAL DECISION SUPPORT SYSTEM IN DIAGNOSTICS OF ANGINA PECTORIS

Евразийский Кардиологический Журнал, 2018
Introduction. Since 2000th CHD morbidity in Russia is growing constantly, especially, angina pectoris morbidity. Increasing workload on physicians due to high number of patients makes us find the ways to optimize human resource applying.
K. V. Kiselev, A. V. Potekhina, M. K. Osyaeva, E. A. Noeva, O. N. Vyborov, A. V. Zorin, S. L. Shvyrev, T. V. Martynyuk, T. V. Zarubina, I. Ye. Chazova   +9 more
doaj   +1 more source

Penggunaan Aplikasi CDSS (Clinical Decision Support System) Berbasis Elektronik pada Pasien Anak di Berbagai Setting Layanan Perawatan: Tinjauan Literatur

Jurnal Ilmu Keperawatan Anak, 2022
CDSS (Clinical Decision Support System) merupakan salah satu bagian dari sistem informasi manajemen kesehatan yang diciptakan untuk membantu professional kesehatan (baik dokter maupun perawat) dalam mengambil keputusan klinis terkait kondisi pasien ...
Friska Nababan, Putri Nilasari
doaj  

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В СППКР ПО ДАННЫМ ЭЛЕКТРОННЫХ МЕДИЦИНСКИХ КАРТ ДЛЯ ФЕНОТИПИРОВАНИЯ И ДИФФЕРЕНЦИАЛЬНОЙ ДИАГНОСТИКИ БАР И БДР

Cifra: Медико-биологические науки
Введение. Дифференциальная диагностика биполярного аффективного расстройства (БАР; bipolar disorder, BD) и униполярной депрессии (БДР; major depressive disorder, MDD) является сложной задачей, особенно на ранних стадиях заболевания.
Гоглов И.О.
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

Accuracy and Effects of Clinical Decision Support Systems Integrated With BMJ Best Practice–Aided Diagnosis: Interrupted Time Series Study

JMIR Medical Informatics, 2020
BackgroundClinical decision support systems (CDSS) are an integral component of health information technologies and can assist disease interpretation, diagnosis, treatment, and prognosis. However, the utility of CDSS in the clinic remains controversial.
Tao, Liyuan, Zhang, Chen, Zeng, Lin, Zhu, Shengrong, Li, Nan, Li, Wei, Zhang, Hua, Zhao, Yiming, Zhan, Siyan, Ji, Hong   +9 more
doaj   +1 more source

Predicted CDSs

, 2018
unigenes CDSs of the transcriptome of Hamonia ...
qiao gao (6155708)
core   +1 more source

ASI CDS against CDSs and uORF>60 nt ag. uORFs and CDSs.

, 2018
Due to the extensive length bias, ASIs are only calculated for uORFs longer than 60 nt. CDSs and uORFs present significantly different distributions of ASI (non-paired Wilcoxon test, pA plot).
Philipp Fervers (5616980), Wojciech Makałowski (5913), Florian Fervers (5616983), Marcin Jąkalski (3431840)   +3 more
core   +1 more source