A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder
Objective Over the last decade, an increase in research on medical decision support
systems has been observed. However, compared to other disciplines, decision support …
systems has been observed. However, compared to other disciplines, decision support …
Towards an implementation framework for business intelligence in healthcare
N Foshay, C Kuziemsky - International Journal of Information Management, 2014 - Elsevier
As healthcare organizations continue to be asked to do more with less, access to information
is essential for sound evidence-based decision making. Business intelligence (BI) systems …
is essential for sound evidence-based decision making. Business intelligence (BI) systems …
Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy
Purpose This paper aims to investigate the role of business intelligence systems (BIS) in the
relationship between organizational learning culture and organizational performance in the …
relationship between organizational learning culture and organizational performance in the …
Addressing the complexities of big data analytics in healthcare: the diabetes screening case
The healthcare industry generates a high throughput of medical, clinical and omics data of
varying complexity and features. Clinical decision-support is gaining widespread attention …
varying complexity and features. Clinical decision-support is gaining widespread attention …
Health information technology foresight for Iran: A Delphi study of experts' views to inform future policymaking
Background: Policymakers require a systematic approach when planning for information
technology needs in healthcare. Objective: The aim of this study was to obtain experts' …
technology needs in healthcare. Objective: The aim of this study was to obtain experts' …
Managing patients' data with clinical decision support systems: a factual assessment
In assessing the benefits of using e-health systems, the main goal of this study is to evaluate
the real use of the clinical decision support system (CDSS) between 2007 and 2014 in …
the real use of the clinical decision support system (CDSS) between 2007 and 2014 in …
[HTML][HTML] Automated modular magnetic resonance imaging clinical decision support system (MIROR): An application in pediatric cancer diagnosis
N Zarinabad, EM Meeus, K Manias… - JMIR medical …, 2018 - medinform.jmir.org
Background: Advances in magnetic resonance imaging and the introduction of clinical
decision support systems has underlined the need for an analysis tool to extract and analyze …
decision support systems has underlined the need for an analysis tool to extract and analyze …
Remote patient monitoring system architecture for diabetes management
BI Ahmad, MA Ayu, I Abdullahi… - … , and Design (ICCED), 2017 - ieeexplore.ieee.org
Health Information Technology (HIT) is becoming popular these days because of its
immense benefits such as improving quality, efficiency and healthcare delivery. HIT can be …
immense benefits such as improving quality, efficiency and healthcare delivery. HIT can be …
A modular, open-source information extraction framework for identifying clinical concepts and processes of care in clinical narratives
P Gooch - 2012 - openaccess.city.ac.uk
In this thesis, a synthesis is presented of the knowledge models required by clinical informa-
tion systems that provide decision support for longitudinal processes of care. Qualitative …
tion systems that provide decision support for longitudinal processes of care. Qualitative …
Big data applications in engineering and science
Research to solve engineering and science problems commonly require the collection and
complex analysis of a vast amount of data. This makes them a natural exemplar of big data …
complex analysis of a vast amount of data. This makes them a natural exemplar of big data …