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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11322623 | PMC |
| http://dx.doi.org/10.1089/jpm.2024.0086 | DOI Listing |
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Toward value-based care using cost mining: cost aggregation and visualization across the entire colorectal cancer patient pathway.
BMC Med Res Methodol
December 2024
Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Background: The aim of this study is to develop a method we call "cost mining" to unravel cost variation and identify cost drivers by modelling integrated patient pathways from primary care to the palliative care setting. This approach fills an urgent need to quantify financial strains on healthcare systems, particularly for colorectal cancer, which is the most expensive cancer in Australia, and the second most expensive cancer globally.
Methods: We developed and published a customized algorithm that dynamically estimates and visualizes the mean, minimum, and total costs of care at the patient level, by aggregating activity-based healthcare system costs (e.
Exploring spiking neural networks for deep reinforcement learning in robotic tasks.
Sci Rep
December 2024
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", Università di Bologna, 40126, Bologna, Italy.
Spiking Neural Networks (SNNs) stand as the third generation of Artificial Neural Networks (ANNs), mirroring the functionality of the mammalian brain more closely than their predecessors. Their computational units, spiking neurons, characterized by Ordinary Differential Equations (ODEs), allow for dynamic system representation, with spikes serving as the medium for asynchronous communication among neurons. Due to their inherent ability to capture input dynamics, SNNs hold great promise for deep networks in Reinforcement Learning (RL) tasks.
View Article and Find Full Text PDFEnlightening Hidden Nursing Care in Nurse-Led Clinics and See & Treat: An Observational Multicenter Protocol Study in Italy.
Nurs Rep
November 2024
Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.
The limited and inconsistent adoption and regulation of nurse-led clinics (NLCs) and "See & Treat" (S&T) services in Italy needs to be explored considering their value towards patients' outcomes acknowledged in the literature. This study aims to explore the phenomenon of hidden nursing activities (HNAs) in these settings, hypothesizing that features and activities performed in these settings are heterogeneous across the country and widely underreported or attributed to other professionals than nurses. HNAs are hypothesized to be associated with a poor work environment climate and nurses' low job satisfaction.
View Article and Find Full Text PDFMulti-Night Home Assessment of Total Sleep Time Misperception in Obstructive Sleep Apnea with and Without Insomnia Symptoms.
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Department of Electrical Engineering, Eindhoven University of Technology, 5612AP Eindhoven, The Netherlands.
Total sleep time (TST) misperception has been reported in obstructive sleep apnea (OSA). However, previous findings on predictors were inconsistent and predominantly relied on single-night polysomnography, which may alter patients' sleep perception. We leveraged advances in wearable sleep staging to investigate predictors of TST misperception in OSA over multiple nights in the home environment.
View Article and Find Full Text PDFTen-year trends in clinical characteristics and outcome of children hospitalized with severe wasting or nutritional edema in Malawi (2011-2021): Declining admissions but worsened clinical profiles.
PLoS One
December 2024
The Childhood Acute Illness and Nutrition (CHAIN) Network, Nairobi, Kenya.
Background: Severe acute malnutrition (SAM) constitutes a substantial burden in African hospitals. Despite adhering to international guidelines, high inpatient mortality rates persist and the underlying contributing factors remain poorly understood.
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