Results 71 to 80 of about 11,060,200 (359)
Inferring multimodal latent topics from electronic health records
Electronic health records (EHR) are rich heterogeneous collections of patient health information, whose broad adoption provides clinicians and researchers unprecedented opportunities for health informatics, disease-risk prediction, actionable clinical ...
Yue Li+18 more
semanticscholar +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source
Wybrane zagadnienia prawne elektronicznej dokumentacji medycznej
In the Polish legal system, that is currently in force, the legislator allows to create health records in two forms - traditional paper and electronic.
Aleksandra Klich
doaj +1 more source
The paper addresses the complex interplay between patients, healthcare professionals, and technology in relation to the treatment of chronic patients. It reflects on an ongoing interdisciplinary action research project striving to design and implement IT support for communication and collaboration in the distributed heterogeneous network of chronic ...
openaire +3 more sources
OBJECTIVES The study sought to determine whether objective measures of electronic health record (EHR) use-related to time, volume of work, and proficiency-are associated with either or both components of clinician burnout: exhaustion and cynicism ...
Julia Adler-Milstein+4 more
semanticscholar +1 more source
Explainable artificial intelligence model to predict acute critical illness from electronic health records [PDF]
Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these ...
S. Lauritsen+7 more
semanticscholar +1 more source
ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling
In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li+3 more
wiley +1 more source
Data Documentation in Patients with Tuberculosis in Razi Hospital of Ghaemshahr, Iran
Introduction: The health information system of hospitals depends on their medical records. Therefore, the detailed documentation, and maintenance of patient records can lead to timely diagnosis and effective treatment of diseases in any country, and ...
Sayede-Shahrebano Rashida+1 more
doaj
Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield+3 more
wiley +1 more source
Laws and Procedures of Retention of Medical Records in Selected Countries
Background: Health records serve several purposes and must be retained to meet those purposes. These varied purposes influence how long health records must be kept, or their retention period.
Nahid Tavakoli+2 more
doaj