Accès ouvert
2026
article
OpenAlex
Ana Balañá Corberó, Arnau Pons Calsapeu, Francesc López Seguí, Ramón Camps Ubach et autres
Telemonitoring combined with synchronous video consultation is an increasingly used strat-egy in the management of patients on home mechanical ventilation (HMV). The aim of this study was to evaluate ventilation parameters and healthcare resource utilization in a tele-monitoring program (TG) compared to …
es
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2026
article
OpenAlex
Arig Kamalmaz, Carlos García Villarroya, Miguel Angel Mayer, Ángela Leis et autres
es
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Accès ouvert
2026
preprint
OpenAlex
Glòria Merino-Pinto, Jaume Viñas-i-Tarradas, Arlet Puigferrat-Campderrós, A Gilabert-Perramon et autres
This study evaluates the cost-effectiveness of the MAR-HF-Titration telemedicine programme, implemented at Hospital del Mar for patients with heart failure with reduced ejection fraction (HFrEF). A pre-post retrospective cost-effectiveness analysis was conducted using data from 208 patients enrolled between 2021 and 2023. …
es, mx
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Accès ouvert
2026
preprint
OpenAlex
Francesc López Seguí, Arnau Pons Calsapeu, Laura Ricou Ríos, Maria Reverte Palahí et autres
Background: Healthcare systems are responsible for a substantial share of global greenhouse gas emissions, partly due to patient and professional travel. Telemedicine-based interconsultations may reduce this environmental burden. Objective: To quantify avoided travel distances and associated reductions in CO₂ and N₂O emissions …
es, br
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Accès ouvert
2026
preprint
OpenAlex
Francesc López Seguí, Arnau Pons Calsapeu, Laura Ricou Ríos, Maria Reverte Palahí et autres
Background: Healthcare systems are responsible for a substantial share of global greenhouse gas emissions, partly due to patient and professional travel. Telemedicine-based interconsultations may reduce this environmental burden. Objective: To quantify avoided travel distances and associated reductions in CO₂ and N₂O emissions …
es, br
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
José Ángel Vicente-Gómez, Martín de Muniategui Climente, Cora Loste, Saúl Barreales et autres
BACKGROUND: The economic effects of post-COVID-19 condition (PCC) remain uncertain despite clearer clinical factors, posing challenges for healthcare professionals. This article investigates the demographic and clinical characteristics of PCC patients and compares their healthcare resource utilization in comparison to a patient cohort …
es, us
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Accès ouvert
2025
article
OpenAlex
Marta Castillo-Rodenas, Núria Solanas-Bacardit, Queralt Miró Catalina, Laia Solà Reguant et autres
Background: In Catalonia, Spain, pediatric primary care is undergoing restructuring, including greater integration of information and communication technologies. The adoption of digital health solutions has increased notably since the COVID-19 pandemic. In areas with limited availability of health care professionals, digital tools …
es
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Accès ouvert
2025
article
OpenAlex
Nerea Berbel Casado, Francesc López Seguí, Natalia Muñoz Moruno, Antoni Rosell et autres
Background: Chronic respiratory diseases often require long-term ventilatory support, leading to a growing number of patients treated with home mechanical ventilation (HMV). Despite advancements in telemonitoring with real-time tracking of noninvasive mechanical ventilation enabled by integrated software in HMV devices, early signs …
es
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Accès ouvert
2025
article
OpenAlex
Guillem Hernández Guillamet, Francesc López Seguí, Josep Vidal‐Alaball
Continuous-time Bayesian networks (CTBNs) are powerful tools for modelling and predicting complex disease trajectories in continuous-time scenarios. However, their application is often limited by a lack of individualisation in the results, if the covariates significantly influence a patient's diagnostic transitions. To address …
es
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Accès ouvert
2025
article
OpenAlex
Guillem Hernández Guillamet, Francesc López Seguí, Josep Vidal‐Alaball
BACKGROUND AND OBJECTIVE: Hybrid forecasting methods aim to overcome the limitations of classical statistical approaches and deep learning models. While statistical methods provide interpretability, they often lack predictive power. Conversely, deep learning models achieve high accuracy but act as "black boxes." This …
es
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Accès ouvert
2025
preprint
OpenAlex
Marta Castillo-Rodenas, Núria Solanas-Bacardit, Queralt Miró Catalina, Laia Solà Reguant et autres
BACKGROUND In Catalonia, Spain, pediatric primary care is undergoing restructuring, including greater integration of information and communication technologies. The adoption of digital health solutions has also risen significantly since the onset of the COVID-19 pandemic. In areas with limited availability of healthcare …
Accès ouvert
2025
article
OpenAlex
Antoni Rosell, Sonia Baeza, Rocío Mouriño, Maria Saigí et autres
BACKGROUND: NLST and NELSON trial showed that lung cancer mortality can be reduced by 20-24% using low-dose computed tomography screening, due to an increase in early-stage diagnoses. RESEARCH QUESTION: How much lung cancer-related direct costs may be reduced using low-dose computed tomography …
es
(code pays fourni par la source)