An overview of clinical decision support systems: benefits, risks, and strategies for success
RT Sutton, D Pincock, DC Baumgart… - NPJ digital …, 2020 - nature.com
Computerized clinical decision support systems, or CDSS, represent a paradigm shift in
healthcare today. CDSS are used to augment clinicians in their complex decision-making …
healthcare today. CDSS are used to augment clinicians in their complex decision-making …
Big data hurdles in precision medicine and precision public health
Background Nowadays, trendy research in biomedical sciences juxtaposes the term
'precision'to medicine and public health with companion words like big data, data science …
'precision'to medicine and public health with companion words like big data, data science …
[HTML][HTML] Advances in clinical decision support: highlights of practice and the literature 2015-2016
RA Jenders - Yearbook of medical informatics, 2017 - thieme-connect.com
Introduction: Advances in clinical decision support (CDS) continue to evolve to support the
goals of clinicians, policymakers, patients and professional organizations to improve clinical …
goals of clinicians, policymakers, patients and professional organizations to improve clinical …
[HTML][HTML] An interoperable clinical decision-support system for early detection of SIRS in pediatric intensive care using openEHR
A Wulff, B Haarbrandt, E Tute, M Marschollek… - Artificial intelligence in …, 2018 - Elsevier
Background Clinical decision-support systems (CDSS) are designed to solve knowledge-
intensive tasks for supporting decision-making processes. Although many approaches for …
intensive tasks for supporting decision-making processes. Although many approaches for …
[HTML][HTML] Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability
The paper presents a conceptual framework for building practically applicable clinical
decision support systems (CDSSs) using data-driven (DD) predictive modelling. With the …
decision support systems (CDSSs) using data-driven (DD) predictive modelling. With the …
[HTML][HTML] Convert-Pheno: A software toolkit for the interconversion of standard data models for phenotypic data
Efficient sharing and integration of phenotypic data is crucial for advancing biomedical
research and enhancing patient outcomes in precision medicine and public health. To …
research and enhancing patient outcomes in precision medicine and public health. To …
[HTML][HTML] Ontologies applied in clinical decision support system rules: Systematic review
Background Clinical decision support systems (CDSSs) are important for the quality and
safety of health care delivery. Although CDSS rules guide CDSS behavior, they are not …
safety of health care delivery. Although CDSS rules guide CDSS behavior, they are not …
Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools
Objective To develop a process for translating semi-structured clinical decision support
(CDS) into shareable, computer-readable CDS. Materials and Methods We developed a …
(CDS) into shareable, computer-readable CDS. Materials and Methods We developed a …
[PDF][PDF] Interoperability mechanisms of clinical decision support systems: a systematic review
Abstract The interoperability of Clinical Decision Support (CDS) systems is an important
obstacle for their adoption. The lack of appropriate mechanisms to specify the semantics of …
obstacle for their adoption. The lack of appropriate mechanisms to specify the semantics of …
[HTML][HTML] Keyphrase Identification Using Minimal Labeled Data with Hierarchical Context and Transfer Learning
Interoperable clinical decision support system (CDSS) rules provide a pathway to
interoperability, a well-recognized challenge in health information technology. Building an …
interoperability, a well-recognized challenge in health information technology. Building an …