A5066262258- Mobile Health and mHealth Applications
- Telemedicine and Telehealth Implementation
- Ethics in Clinical Research
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Global Maternal and Child Health
- Patient Dignity and Privacy
- Health Literacy and Information Accessibility
- Electronic Health Records Systems
- Ethics and bioethics in healthcare
- Healthcare Systems and Reforms
- Artificial Intelligence in Healthcare
- Context-Aware Activity Recognition Systems
- Reliability and Agreement in Measurement
- Digital Mental Health Interventions
- Clinical Laboratory Practices and Quality Control
- Government, Law, and Information Management
- Machine Learning in Healthcare
- Consumer Attitudes and Food Labeling
- Biomedical Ethics and Regulation
- Social Media in Health Education
- Non-Invasive Vital Sign Monitoring
- Global Public Health Policies and Epidemiology
- COVID-19 and healthcare impacts
- Sepsis Diagnosis and Treatment
Leiden University Medical Center
2020-2025
Leiden University
2023-2024
Universitat de Barcelona
2022
Despite significant efforts, the COVID-19 pandemic has put enormous pressure on health care systems around world, threatening quality of patient care. Telemonitoring offers opportunity to carefully monitor patients with a confirmed or suspected case from home and allows for timely identification worsening symptoms. Additionally, it may decrease number hospital visits admissions, thereby reducing use scarce resources, optimizing capacity, minimizing risk viral transmission. In this paper, we...
<b>Tele-monitoring during the COVID-19 pandemic is recognised as a safe strategy to monitor patients at home. This first controlled study that demonstrates effectiveness of home monitoring reduce hospital admissions 28-day follow-up.</b>https://bit.ly/39vvngH
Implementation of digital health (eHealth) generally involves adapting pre-established and carefully considered processes or routines, still raises multiple ethical legal dilemmas. This study aimed to identify challenges regarding responsibility liability when prescribing in clinical practice. was part an overarching project aiming explore the most pressing obstacles implementation adoption Netherlands, propose actionable solutions.A series multidisciplinary focus groups with stakeholders...
Background eHealth offers opportunities to improve health and healthcare systems overcome primary care challenges in low-resource settings (LRS). LRS has been typically associated with low- middle-income countries (LMIC), but they can be found high-income (HIC) when human, physical or financial resources are constrained. Adopting a concept of that applies LMIC HIC facilitate knowledge interchange between initiatives while improving provision for socioeconomically disadvantaged groups across...
Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that monitor integrate clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design workflow integration, however, are important factors hindering successful implementation. This study aims explore...
Abstract Introduction The paradigm shift to a knowledge‐based economy has incremented the use of personal information applied health‐related activities, such as biomedical research, innovation, and commercial initiatives. convergence science, technology, communication data technologies given rise application big health; for example through eH ealth, human databases biobanks. Methods In light these changes, we enquire about value its appropriate use. order illustrate complex ground on which...
Diagnostics are increasingly shifting to patients' home environment, facilitated by new digital technologies. Digital diagnostics (diagnostic services enabled technologies) can be a tool better respond the challenges faced primary care systems while aligning with and healthcare professionals' needs. However, it needs clarified how determine success of these interventions.We aim provide practical guidance facilitate adequate development implementation diagnostics.Here, we propose quadruple...
<title>Abstract</title> Introduction Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that integrate monitor clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design workflow integration are important factors hindering successful implementation....
<sec> <title>BACKGROUND</title> Health apps are increasingly being used to promote health, manage diseases, and deliver healthcare services. Still, there is scarce objective information regarding their quality beyond the required CE mark for medical apps, leading potential risks users. To address these challenges, several authorities have developed health app assessment frameworks. In 2017, TIC Salut Social Foundation (FTSS) in Catalonia its own framework, use since that year. The...
<sec> <title>BACKGROUND</title> Health authorities of European Union (EU) Member States (MS) increasingly pursue integration quality health apps in their healthcare systems. Several these have developed own assessment framework (AF) to evaluate the individual apps, but struggle with its efficient implementation. The Commission initiated Technical Specification (TS) CEN ISO 82304-2:2021 software - Part 2: and wellness Quality reliability (hereinafter “TS” or “innovation”) address scattered EU...
Alternative means of blood sampling continue to grow due the scarcity phlebotomists and need for person-centered care. It is crucial consistently support these alternative innovations with scientific evidence guarantee quality care, especially when implementing instance Lateral Upper-arm Blood Collection (LUBC) non-trained professionals at home. Knowledge gaps remain in how quantify imprecision introduced by collection method its impact on clinical use.
Background and Aim: In pediatric high-dependency care within low-resource settings (LRS), nurses encounter challenges in the early detection of deterioration. Data-driven algorithms show potential, but successful design integration into clinical workflows require consideration nurses' perspectives. This study aims to inform development a data-driven algorithm its user-interface be implemented constant monitoring system for LRS. Methods: A human-centered approach, including contextual...
<title>Abstract</title> Introduction Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that integrate monitor clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design workflow integration are important factors hindering successful implementation....
Background: Biobanks form key research support infrastructures that ensure the highest sample quality for scientific research. Their activity must align closely and proportionally to interests of researchers, donors, society. Informed consent (IC) is a central tool guarantee protection donors' rights interests. Aim: This study aimed analyze challenges obtaining IC biobanking in clinical settings ways improve this process. Methods: Biobank Bellvitge University Hospital HUB-ICO-IDIBELL...
<sec> <title>UNSTRUCTURED</title> Despite significant efforts, the COVID-19 pandemic has put enormous pressure on health care systems around world, threatening quality of patient care. Telemonitoring offers opportunity to carefully monitor patients with a confirmed or suspected case from home and allows for timely identification worsening symptoms. Additionally, it may decrease number hospital visits admissions, thereby reducing use scarce resources, optimizing capacity, minimizing risk...