Results 31 to 40 of about 595,841 (289)
BMC Anesthesiology, 2018 Background Maternal early warning systems reduce maternal morbidity. We developed an electronic maternal surveillance system capable of visually summarizing the labor and delivery census and identifying changes in clinical status.
Thomas T. Klumpner +4 more
doaj +1 more source
Clinical decision support systems: A visual survey [PDF]
, 2018 Clinical Decision Support Systems (CDSS) form an important area of research. In spite of its importance, it is difficult for researchers to evaluate the domain primarily because of a considerable spread of relevant literature in interdisciplinary domains.
Hussain, Amir +7 more
core +1 more source
Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review
JMIR Medical Informatics, 2020 BackgroundThe clinical decision-making process in pressure ulcer management is complex, and its quality depends on both the nurse's experience and the availability of scientific knowledge. This process should follow evidence-based practices incorporating
Araujo, Sabrina Magalhaes +2 more
doaj +1 more source
XAI-Based Clinical Decision Support Systems: A Systematic Review
Applied SciencesWith increasing electronic medical data and the development of artificial intelligence, clinical decision support systems (CDSSs) assist clinicians in diagnosis and prescription.
Se Young Kim +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Continuous assurance for AI-driven clinical decision support systems
Frontiers in Artificial IntelligenceHealthcare systems are rapidly embedding adaptive and generative AI into core clinical processes. The integration of Artificial Intelligence into Clinical Decision Support Systems (AI-CDSS) highlights a fundamental transformation within healthcare ...
Rami A. Al-Horani, Amanuel F. Tadesse
doaj +1 more source
Harnessing the power of clinical decision support systems: challenges and opportunities
Open Heart, 2023 Clinical decision support systems (CDSSs) are increasingly integrated into healthcare settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency by providing clinicians with evidence-based recommendations at the point of ...
Yanping Wang +8 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
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 +9 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source