Results 31 to 40 of about 4,714,371 (311)
Background Direct oral anticoagulants (DOACs) are not only increasingly being used for the initial stroke prevention therapy but progressively also substitute vitamin K antagonist (VKA) treatment in patients with non-valvular atrial fibrillation (AF ...
Lena M. Paschke+4 more
doaj +1 more source
Since its creation in 1994, the Family Health Program has become the main strategy for changing care models and increasing access to the first contact service of the Unified Health System (SUS). A little more than ten years later, in 2006 the program was
Luiz Felipe Machado Pinto, L. Giovanella
semanticscholar +1 more source
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms [PDF]
In recent years, the machine learning research community has benefited tremendously from the availability of openly accessible benchmark datasets. Clinical data are usually not openly available due to their highly confidential nature. This has hampered the development of reproducible and generalisable machine learning applications in health care.
arxiv
The economics of patient safety in primary and ambulatory care
Building on published patient safety research literature, this paper aims to broaden the existing knowledge base on safety lapses occurring in primary and ambulatory care settings.
Ane Auraaen, L. Slawomirski, N. Klazinga
semanticscholar +1 more source
Aim of the study: The aim of the study was to investigate patient satisfaction, saving of time and the possible reduction of visits to medical practices that use Remote Patient Monitoring (RPM) during treatment compared to usual care.
Sarah Eichler+3 more
doaj
Background Electronic clinical decision algorithms (eCDAs) that guide clinicians during patient management are being deployed in resource-limited settings to improve the quality of care and rational use of medicines (especially antimicrobials). Little is
Cécile Bessat+2 more
doaj +1 more source
Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care [PDF]
Patients with severe Coronavirus disease 19 (COVID-19) typically require supplemental oxygen as an essential treatment. We developed a machine learning algorithm, based on a deep Reinforcement Learning (RL), for continuous management of oxygen flow rate for critical ill patients under intensive care, which can identify the optimal personalized oxygen ...
arxiv
Objectives To identify the frequency with which antibiotics are prescribed in the absence of a documented indication in the ambulatory care setting, to quantify the potential effect on assessments of appropriateness of antibiotics, and to understand ...
Michael J Ray+4 more
semanticscholar +1 more source
Risk Factors of Postoperative Hospital-Acquired Pneumonia in Patients Undergoing Cardiac Surgery
Background and Objectives. Hospital-acquired pneumonia is one of the complications that may occur in the postoperative period in patients undergoing heart valve surgery, which may result in prolonged hospitalization, development of respiratory failure ...
Piotr Duchnowski, Witold Śmigielski
doaj +1 more source
A Model for Measuring Ambulatory Access to Care Recovery after Disasters [PDF]
Introduction: Although little research has examined impacts of disasters on scheduled ambulatory care services, routine care delivery is important for emergency planning and response because missed or delayed care can lead to more urgent care needs ...
Chu, Karen+3 more
core +1 more source