Results 21 to 30 of about 6,194 (173)

Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study

Tomography, 2022
This observer study investigates the effect of computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians’ diagnostic accuracy in assessing bladder cancer treatment response.
Di Sun, Lubomir Hadjiiski, Ajjai Alva, Yousef Zakharia, Monika Joshi, Heang-Ping Chan, Rohan Garje, Lauren Pomerantz, Dean Elhag, Richard H. Cohan, Elaine M. Caoili, Wesley T. Kerr, Kenny H. Cha, Galina Kirova-Nedyalkova, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kimberly Shampain, Nathaniel Meyer, Daniel Barkmeier, Sean Woolen, Phillip L. Palmbos, Alon Z. Weizer, Ravi K. Samala, Chuan Zhou, Martha Matuszak   +25 more
doaj   +1 more source

Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis

Healthcare, 2022
A clinical decision support system (CDSS) informs or generates medical recommendations for healthcare practitioners. An alert is the most common way for a CDSS to interact with practitioners. Research about alerts in CDSS has proliferated over the past ten years. The research trend is ongoing with new emerging terms and focus.
Shuo-Chen Chien, Ya-Lin Chen, Chia-Hui Chien, Yen-Po Chin, Chang Ho Yoon, Chun-You Chen, Hsuan-Chia Yang, Yu-Chuan (Jack) Li   +7 more
openaire   +2 more sources

Tackling alert fatigue with a semi-automated clinical decision support system: quantitative evaluation and end-user survey

Swiss Medical Weekly, 2023
STUDY AIMS: Clinical decision support systems (CDSS) embedded in hospital electronic health records efficiently reduce medication errors, but there is a risk of low physician adherence due to alert fatigue.
Hendrike Dahmke, Rico Fiumefreddo, Philipp Schuetz, Remo De Iaco, Claudia Zaugg   +4 more
doaj   +1 more source

Development and assessment of PharmaCheck: an electronic screening tool for the prevention of twenty major adverse drug events

BMC Medical Informatics and Decision Making, 2022
Background Adverse drug events (ADEs) can be prevented by deploying clinical decision support systems (CDSS) that directly assist physicians, via computerized order entry systems, and clinical pharmacists performing medication reviews as part of medical ...
Christian Skalafouris, Jean-Luc Reny, Jérôme Stirnemann, Olivier Grosgurin, François Eggimann, Damien Grauser, Daniel Teixeira, Megane Jermini, Christel Bruggmann, Pascal Bonnabry, Bertrand Guignard   +10 more
doaj   +1 more source

Towards effective clinical decision support systems: A systematic review.

PLoS ONE, 2022
BackgroundClinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories ...
Francini Hak, Tiago Guimarães, Manuel Santos   +2 more
doaj   +1 more source

Electronic Clinical Decision Support System for allergic rhinitis management: MASK e‐CDSS [PDF]

Clinical & Experimental Allergy, 2018
SummaryBackgroundAllergic rhinitis (AR) management has changed in recent years following the switch from the concept of disease severity to the concept of disease control, publication of the AR clinical decision support system (CDSS) and development of mobile health (m‐health) tools for patients (eg Allergy Diary).
Courbis, Anne-Lise, Murray, Ruth Brigid, Arnavielhe, Sylvie, Caimmi, Davide, Bedbrook, Anna, van Eerd, Michiel, de Vries, Govert, Dray, Gérard, Agache, Ioana, Morais-Almeida, Mario, Bachert, Claus, Bergmann, Karl Christian, Bosnic-Anticevich, Sinthia, Brozek, Jan, Bucca, Caterina, Camargos, Paulo, Canonica, Giorgio Walter, Carr, Warner, Casale, Thomas, Fonseca, Joao, Haahtela, Tari, Kalayci, Ömer, Klimek, Ludger, Kuna, Piotr, Kvedariene, Violeta, Larenas Linnemann, Desiree, Lieberman, Phil, Mullol, Joaquim, Ohehir, Robyn, Papadopoulos, Nikolaos, Price, David, Ryan, Dermot, Samolinski, Boleslaw, Simons, F. Estelle, Tomazic, Peter, Triggiani, Massimo, Valiulis, Arunas, Valovirta, Erkka, Wagenmann, Martin, Wickman, Magnus, Yorgancioglu, Arzu, Bousquet, Jean   +41 more
openaire   +11 more sources

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  

Smart Medicine: Exploring the Landscape of AI-Enhanced Clinical Decision Support Systems [PDF]

MATEC Web of Conferences
A Clinical Decision Support System (CDSS) combines medical knowledge with patient data to help healthcare providers make well-informed decisions. It offers real-time advice and recommendations for better patient outcomes and treatment management.
Jhade Srinivas, Gangavarapu Shanya Psalms, Channabasamma, Igorevich Rozhdestvenskiy Oleg   +3 more
doaj   +1 more source

Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents

BMC Medical Informatics and Decision Making, 2020
Background Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long-term disability.
Carolyn E. Clausen, Bennett L. Leventhal, Øystein Nytrø, Roman Koposov, Odd Sverre Westbye, Thomas Brox Røst, Victoria Bakken, Kaban Koochakpour, Ketil Thorvik, Norbert Skokauskas   +9 more
doaj   +1 more source

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project

BMC Medical Informatics and Decision Making, 2023
Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) pain disorders in primary care.
Fredrik Granviken, Ingebrigt Meisingset, Ottar Vasseljen, Kerstin Bach, Anita Formo Bones, Nina Elisabeth Klevanger   +5 more
doaj   +1 more source