A systematic review of technologies and standards used in the development of rule-based clinical decision support systems

P Papadopoulos, M Soflano, Y Chaudy, W Adejo… - Health and …, 2022 - Springer
Abstract A Clinical Decision Support System (CDSS) is a technology platform that uses
medical knowledge with clinical data to provide customised advice for an individual patient's …

Adaptive enterprise architecture for the digital healthcare industry: A digital platform for drug development

Y Masuda, A Zimmermann, M Viswanathan, M Bass… - Information, 2021 - mdpi.com
Enterprise architecture (EA) is useful for effectively structuring digital platforms with digital
transformation in information societies. Moreover, digital platforms in the healthcare industry …

[HTML][HTML] Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems

AM Pereira, C Jácome, T Jacinto, R Amaral… - Journal of Medical …, 2023 - jmir.org
Most mobile health (mHealth) decision support systems currently available for chronic
obstructive respiratory diseases (CORDs) are not supported by clinical evidence or lack …

Clinical decision-support system with electronic health record: digitization of research in pharma

Y Masuda, DS Shepard, S Yamamoto… - … of KES-InMed-19 and KES …, 2019 - Springer
Abstract Clinical Decision-Support (CDS) systems are architected to resolve knowledge-
intensive tasks for supporting decision-making processes in the medical fields and the …

A randomized controlled trial for evaluating the impact of integrating a computerized clinical decision support system and a socially assistive humanoid robot into …

I Mlakar, U Smrke, V Flis, A Bergauer… - Digital …, 2022 - journals.sagepub.com
Although clinical decision support systems (CDSSs) are increasingly emphasized as one of
the possible levers for improving care, they are still not widely used due to different barriers …

A clinical decision support system design framework for nursing practice

SC Lu, RJ Brown, M Michalowski - ACI Open, 2021 - thieme-connect.com
Background As nurses increasingly engage in decision-making for patients, a unique
opportunity exists to translate research into practice using clinical decision support systems …

A knowledge editing service for multisource data management in remote health monitoring

S Colantonio, M Esposito, M Martinelli… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Remote health monitoring (RHM) programmes are being increasingly developed to face the
pervasive diffusion of chronic diseases. RHM strongly relies on Information and …

[책][B] Diverse perspectives and state-of-the-art approaches to the utilization of data-driven clinical decision support systems

TM Connolly, P Papadopoulos, M Soflano - 2022 - books.google.com
The medical domain is home to many critical challenges that stand to be overcome with the
use of data-driven clinical decision support systems (CDSS), and there is a growing set of …

Challenges in develo** effective clinical decision support systems

K Sartipi, NP Archer, MH Yarmand - Efficient Decision Support …, 2011 - books.google.com
Decision making is one of the most important and frequent aspects of our daily activities.
Personal decisions display our characteristics, behavior, successes, failures, and the nature …

Ontology driven knowledge base for high risk pregnancy management

J Lam, YA Noor, E Supriyanto - 2015 4th international …, 2015 - ieeexplore.ieee.org
High risk pregnancy can lead both mother and develo** fetus to death. Proper antenatal
care before and during pregnancy may decrease the risk of complications. Clinical decision …