Results 71 to 80 of about 4,714,371 (311)

Associations between primary care practice type and patient-reported access

BMC Health Services Research, 2018
Background We recently defined a global typology of primary care (PC) in Switzerland using a mixed inductive/deductive approach to construct latent, composite variables that summarize variance between practices.
K Selby, J-C Zuchuat, C Cohidon, N Senn
doaj   +1 more source

A Graph-constrained Changepoint Detection Approach for ECG Segmentation [PDF]

arXiv, 2020
Electrocardiogram (ECG) signal is the most commonly used non-invasive tool in the assessment of cardiovascular diseases. Segmentation of the ECG signal to locate its constitutive waves, in particular the R-peaks, is a key step in ECG processing and analysis.
arxiv  

Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data [PDF]

Annals of Applied Statistics 2015, Vol. 9, No. 3, 1601-1620, 2015
Ambulatory cardiovascular (CV) measurements provide valuable insights into individuals' health conditions in "real-life," everyday settings. Current methods of modeling ambulatory CV data do not consider the dynamic characteristics of the full data set and their relationships with covariates such as caffeine use and stress.
arxiv   +1 more source

The effects of multiple chronic conditions on hospitalization costs and utilization for ambulatory care sensitive conditions in the United States: a nationally representative cross-sectional study

BMC Health Services Research, 2016
BackgroundThe presence of multiple chronic conditions (MCCs) complicates inpatient hospital care, leading to higher costs and utilization. Multimorbidity also complicates primary care, increasing the likelihood of hospitalization for ambulatory care ...
H. Skinner, R. Coffey, Jenna M. Jones, K. Heslin, E. Moy   +4 more
semanticscholar   +1 more source

Role of ambulatory care utilization in accounting for higher inpatient acute myocardial infarction mortality among Asian Americans [PDF]

, 2017
INTRODUCTION: To address a lack of population-level studies that examine the association between ambulatory care utilization and cardiovascular outcomes among Asian Americans, this study examined 1) ambulatory care utilization among different racial ...
Kim, Eun Ji
core  

Identification of emergencies in the telephone queue and routing to a fast track (FAST): study protocol for a prospective, two-armed cohort study

BMC Health Services Research
Background In Germany, the telephone patient service 116,117 for callers with non-life-threatening health issues is available 24/7. Based on structured initial assessment, urgency and placement of suitable medical care offer have been offered since 2020.
Sarah Eichler, Tobias Herrmann, Uta Weidlich-Wichmann, Kodjo Vissiennon, Thorsten Pollmann, Lisa Weller, Christopher Pommerenke, Lars Kroll, Nicolas Alix, Tanja Dietsch, Dominik von Stillfried, Sebastian Carnarius   +11 more
doaj   +1 more source

Multidisciplinary Collaboration between a Community Pharmacy and a Travel Clinic in a Swiss University Primary Care and Public Health Centre

Pharmacy, 2018
This review is a narrative description of a collaboration between a travel clinic and a community pharmacy centre within a university primary care and public health centre (Lausanne/Switzerland).
Jérôme Berger, Marie-José Barbalat, Vanessa Pavón Clément, Blaise Genton, Olivier Bugnon   +4 more
doaj   +1 more source

Psychiatric consultation in general practitioners’ daily practice: a qualitative study on the experience of consultation-liaison psychiatry interventions in primary care settings in French-speaking Switzerland

BMC Primary Care, 2022
Background Mental disorders are frequent in primary care settings, which is challenging for primary care physicians. In Neuchâtel (Switzerland), a Consultation-Liaison psychiatrist integrated three primary care group practices, proposing both clinical ...
Konstantinos Tzartzas, Pierre-Nicolas Oberhauser, Régis Marion-Veyron, Stéphane Saillant   +3 more
doaj   +1 more source

Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records [PDF]

arXiv, 2020
Comorbid chronic conditions are common among people with type 2 diabetes. We developed an Artificial Intelligence algorithm, based on Reinforcement Learning (RL), for personalized diabetes and multi-morbidity management with strong potential to improve health outcomes relative to current clinical practice.
arxiv  

Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment [PDF]

arXiv, 2021
Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography (EEG) signals are distorted by movement artifacts and electromyography signals when users are moving, which make hard to recognize human intention.
arxiv