Electronic data interchange has the potential to save billions of healthcare dollars--that's the gospel according to Joe Brophy. The Travelers Insurance Company president and co-chair of the Health and Human Services Workgroup on Electronic Data Interchange is taking this sermon to the people.
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A Unified Approach to Health Data Exchange: A Report From the US DHHS.
JAMA
January 2025
Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT, Washington, DC.
Importance: Health information technology, such as electronic health records (EHRs), has been widely adopted, yet accessing and exchanging data in the fragmented US health care system remains challenging. To unlock the potential of EHR data to improve patient health, public health, and health care, it is essential to streamline the exchange of health data. As leaders across the US Department of Health and Human Services (DHHS), we describe how DHHS has implemented fundamental building blocks to achieve this vision.
View Article and Find Full Text PDFImpact of hemoadsorption with CytoSorb® on meropenem and piperacillin exposure in critically ill patients in a post-CKRT setup: a single-center, retrospective data analysis.
Intensive Care Med Exp
January 2025
Freie Universität Berlin and Humboldt-Universität Zu Berlin, Department of Anesthesiology and Intensive Care Medicine, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Purpose: CytoSorb® (CS) adsorbent is a hemoadsorption filter for extracorporeal blood purification often integrated into continuous kidney replacement therapy (CKRT). It is primarily used in critically ill patients with sepsis and related conditions, including cytokine storms and systemic inflammatory responses. Up to now, there is no evidence nor recommendation for the use of CS filters in sepsis (22).
View Article and Find Full Text PDFMulti-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates.
Nano Converg
January 2025
Bendable Electronics and Sustainable Technologies (BEST) Group, Electrical and Computer Engineering Department, Northeastern University, Boston, MA, 02115, USA.
The intriguing way the receptors in biological skin encode the tactile data has inspired the development of electronic skins (e-skin) with brain-inspired or neuromorphic computing. Starting with local (near sensor) data processing, there is an inherent mechanism in play that helps to scale down the data. This is particularly attractive when one considers the huge data produced by large number of sensors expected in a large area e-skin such as the whole-body skin of a robot.
View Article and Find Full Text PDFThe global prevalence of interstitial lung disease in patients with rheumatoid arthritis: a systematic review and meta-analysis.
Rheumatol Int
January 2025
School of Medicine, The University of Western Australia, 35 Stirling Highway, Perth, WA, 6009, Australia.
This study aims to review the literature and estimate the global pooled prevalence of interstitial lung disease among patients with rheumatoid arthritis (RA-ILD). The influence of risk factors like geography, socioeconomic status, smoking and DMARD use will be explored. A systematic review was performed according to the PRISMA and JBI guidelines.
View Article and Find Full Text PDFDevelopment and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients.
Pediatr Cardiol
January 2025
Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.
Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.
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