Publications by authors named "Jordi Martinez-Roldan"
The rapid spread of the severe acute respiratory syndrome coronavirus 2 led to a global overextension of healthcare. Both Chest X-rays (CXR) and blood test have been demonstrated to have predictive value on Coronavirus Disease 2019 (COVID-19) diagnosis on different prevalence scenarios. With the objective of improving and accelerating the diagnosis of COVID-19, a multi modal prediction algorithm (MultiCOVID) based on CXR and blood test was developed, to discriminate between COVID-19, Heart Failure and Non-COVID Pneumonia and healthy (Control) patients.
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- The study aimed to compare the incidence rates of adverse events of special interest (AESIs) following COVID-19 infection with historical rates in the general population, focusing on 16 specific health outcomes.
- Researchers conducted a multinational cohort study using diverse health data from 2017 to 2022 and found that post-COVID-19 AESIs were consistently more common, with significant variations based on age and population demographics.
- The findings indicated that thromboembolic events, like pulmonary embolism, were particularly prevalent after a COVID-19 infection, highlighting the need for further research on long-term complications related to the virus.
Background: A huge amount of clinical data is generated daily and it is usually filed in clinical reports as natural language. Data extraction and further analysis requires reading and manual review of each report, which is a time consuming process. With the aim to test folksonomy to quickly obtain and analyze the information contained in media reports we set up this study.
View Article and Find Full Text PDFBackground: A cancer diagnosis is a source of psychological and emotional stress, which are often maintained for sustained periods of time that may lead to depressive disorders. Depression is one of the most common psychological conditions in patients with cancer. According to the Global Cancer Observatory, breast and colorectal cancers are the most prevalent cancers in both sexes and across all age groups in Spain.
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- The study emphasizes the importance of real world data (RWD) for understanding and responding to the COVID-19 pandemic using a standardized approach through the CHARYBDIS framework.
- Researchers conducted a retrospective database study across multiple countries, including the US and parts of Europe and Asia, involving over 4.5 million individuals and focusing on their clinical characteristics and outcomes.
- Findings reveal higher diagnoses among women but more hospitalizations among men, common comorbidities like diabetes and heart disease, and key symptoms such as cough and fever; this data helps to identify trends in COVID-19 across different populations and time periods.
Objective: To characterise patients with and without prevalent hypertension and COVID-19 and to assess adverse outcomes in both inpatients and outpatients.
Design And Setting: This is a retrospective cohort study using 15 healthcare databases (primary and secondary electronic healthcare records, insurance and national claims data) from the USA, Europe and South Korea, standardised to the Observational Medical Outcomes Partnership common data model. Data were gathered from 1 March to 31 October 2020.
Article Synopsis
- Routinely collected real-world data (RWD) is essential for understanding and responding to the COVID-19 pandemic, as demonstrated by the CHARYBDIS framework for standardizing and analyzing this data.
- A descriptive cohort study involving over 4.5 million individuals was conducted across the U.S., Europe, and Asia to examine COVID-19-related health risks and outcomes, with detailed information available on an interactive website.
- The findings from the CHARYBDIS study serve as benchmarks to enhance our knowledge of COVID-19's progression and management, facilitating timely evaluations of new preventative and therapeutic strategies.
Background: The use of new mobile technologies in the health and social welfare sectors is already a reality. The ICT Social Health Foundation, in accordance with the technology strategy of the Catalan government's Ministry of Health and its Ministry of Labour, Social Affairs and Families, is leading an initiative to create a public library of apps for its AppSalut Site.
Objective: The objective of this paper is to present an account of the design of the project, with a global perspective, applied to the Catalan ecosystem, which can be divided into 3 areas: the framework governing the recommendation and prescription of apps, the subset of interoperability for mobile environments, and the data storage infrastructure.
Background: In Catalonia, the Fundació TIC Salut Social's mHealth Office created the AppSalut Site to showcase to mobile apps in the field of health and social services. Its primary objective was to encourage the public to look after their health. The catalogue allows primary health care doctors to prescribe certified, connected apps, which guarantees a safe and reliable environment for their use.
View Article and Find Full Text PDFWe find ourselves at the end of an era of asymmetry in the domain of health information where the majority of this data is in the hands of the healthcare system. Increasingly, the public are calling for a more central role in the new paradigm that enables them to duly exercise their right of access to their health data while availing of more reliable and safer technologies which contribute to the management of their condition and promote healthy lifestyles. So far, the TIC Salud strategic plan has been developed independently from the Generalitat de Catalunya Health Department's Healthcare Plan, which sets out health policy strategy in Catalonia.
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