A5078458338- Artificial Intelligence in Healthcare and Education
- Palliative Care and End-of-Life Issues
- Machine Learning in Healthcare
- Digital Mental Health Interventions
- Mobile Health and mHealth Applications
- Innovative Human-Technology Interaction
- Homelessness and Social Issues
- Artificial Intelligence in Healthcare
- Frailty in Older Adults
- Electronic Health Records Systems
- Disaster Response and Management
- Emergency and Acute Care Studies
- Nutrition and Health in Aging
- Educational Innovations and Technology
- Patient-Provider Communication in Healthcare
- Health Systems, Economic Evaluations, Quality of Life
- Chronic Disease Management Strategies
- COVID-19 and Mental Health
- Healthcare cost, quality, practices
- AI in Service Interactions
- Ethics and Social Impacts of AI
- Healthcare Technology and Patient Monitoring
- E-Learning and Knowledge Management
- Innovative Teaching Methods
- Health disparities and outcomes
Universitat Politècnica de València
2019-2024
Health Innovations (United States)
2024
Digital Health Cooperative Research Centre
2024
Fundación Centro Tecnológico de la Información y la Comunicación
2021
Background Obesity and overweight are a serious health problem worldwide with multiple connected causes. Simultaneously, chatbots becoming increasingly popular as way to interact users in mobile apps. Objective This study reports the user-centered design feasibility of chatbot collect linked data support individual social obesity causes populations. Methods We first studied users’ needs gathered graphical preferences through an open survey on 52 wireframes designed by 150 students; it also...
Although clinical decision support systems (CDSS) have many benefits for practice, they also several barriers to their acceptance by professionals. Our objective in this study was design and validate The Aleph palliative care (PC) CDSS through a user-centred method, considering the predictions of artificial intelligence (AI) core, usability user experience (UX).We performed two rounds individual evaluation sessions with potential users. Each session included model evaluation, task test UX...
Palliative care (PC) has demonstrated benefits for life-limiting illnesses. Bad survival prognosis and patients' decline are working criteria to guide PC decision-making older patients. Still, there is not a clear consensus on when initiate early PC. This work aims propose machine learning approaches predict frailty mortality in patients supporting decision-making. Predictive models based Gradient Boosting Machines (GBM) Deep Neural Networks (DNN) were implemented binary 1-year...
The integration of Artificial Intelligence (AI) in healthcare signifies a substantial shift, offering benefits to patients and systems while also introducing new risks. emphasis on patient safety performance standards is pivotal, especially with the European Union’s strides towards regulating AI through Act. This act focuses classifying based risk levels, mandating stringent requirements for high-risk AI, enhancing transparency, ensuring ethics applications. concept an “AI passport”...
This work aimed to study the effect of confinement on weight and lifestyle using Wakamola chatbot collect data from 739 adults divided into two groups (341 case-control, 398 confinement). Nutrition score (0–100 scale) improved for men (medians 81.77–82.29, p < 0.05), with no difference women 82.29 in both cases). Both genders reduced consumption sweetmeats sugared drinks ( 0.01); increased their vegetables, salad, legumes 0.01). physical activity (men 100–40.14, 0.01, 80.42–36.12, Women...
The objective of this study was to assess the feasibility using a user-centered chatbotfor collecting linked data overweight and obesity causes ina target population. In total 980 people participated in organized three studies: (1) within group university students (88 participants), (2) small town (422 (3) community (470 participants). We gathered self-reported through Wakamola chatbot regarding participants diet, physical activity, social network, living area, obesity-associated diseases,...
Background: Palliative care is referred to a set of programs for patients that suffer life-limiting illnesses. These aim guarantee minimum level quality life (QoL) the last stage life. They are currently based on clinical evaluation risk one-year mortality. Objectives: The main objective this work develop and validate machine-learning models predict exitus patient within next year using data gathered at hospital admission. Methods: Five machine learning techniques were applied in our study...
Palliative care is an alternative to standard for gravely ill patients that has demonstrated many clinical benefits in cost-effective interventions. It expected grow demand soon, so it necessary detect those who may benefit from these programs using a personalised objective criterion at the correct time. Our goal was develop responsive and minimalist web application embedding 1-year mortality explainable predictive model assess palliative bedside consultation. A been trained. We ranked input...
Abstract Technological trends point to Artificial Intelligence (AI) as a crucial tool in healthcare, but its development must respect human rights and ethical standards ensure robustness safety. Despite general good practices are available, health AI developers lack practical guide address the construction of trustworthy AI. We introduce framework serve reference guideline for creation systems health. The provides an extensible Trustworthy matrix that classifies technical methods addressing...
Abstract Background and objective People experiencing homelessness (PEH) face significant health challenges disparities in healthcare access due to barriers such as unstable housing, limited resources, social stigma. In response, the European Union has initiated efforts address these disparities. The CANCERLESS project, part of this initiative, created first multi-centre dataset for cancer prevention PEH. This work aims evaluate describe heterogeneity PEH across pilot sites provide data...
Abstract Cancer poses a significant public health concern. Reports highlight that cancer-related mortality rates are double among people experiencing homelessness (PEH). CANCERLESS project delivered an innovative solution based on the Health Navigator Model (HNM). The HNM is evidence-based patient-centred intervention develops patient empowerment through education and social support, promoting timely access to cancer prevention services. A pre-post design study conducted across four pilot...
The Directorate General for Parliamentary Research Services of the European Parliament has prepared a report to Members where they enumerate seven main risks Artificial Intelligence (AI) in medicine and healthcare: patient harm due AI errors, misuse medical tools, bias perpetuation existing inequities, lack transparency, privacy security issues, gaps accountability, obstacles implementation. In this study, we propose fourteen functional requirements that systems may implement reduce...
A bstract Clinical Decision Support Systems (CDSSs) could offer many benefits to clinical practice, but they present several adoption barriers regarding their acceptance and usability by professionals. Our objective in this study is validate a Palliative Care CDSS, The Aleph, through user-centred methodology, considering the predictions of AI core, usability, user experience. We performed two rounds individual evaluation sessions with potential users. Each session included model evaluation,...
Introduction: Prevalence of overweight and obesity are increas- ing in the last decades, with them, diseases health conditions such as diabetes, hypertension or cardiovascular diseases. However, hos- pital databases usually do not record adults, neither anthropomorfic measures that facilitate their identification.
In the teaching of a first-year university grade course, flip techniques have been used, requiring students to: prepare theoretical content class in advance, use online tool Kahoot!In order to review contents when finalising subjects, visualize videos related subject using YouTube platform and comment current news from field closed group Facebook.The objective this work is know students' point view about mentioned.To achieve this, survey has carried out that will allow us obtain information...
ABSTRACT Objective To develop a predictive model to aid non-clinical dispatchers classify emergency medical call incidents by their life-threatening level (yes/no), admissible response delay (undelayable, minutes, hours, days) and system jurisdiction (emergency system/primary care) in real time. Materials A total of 1 244 624 independent retrospective from the Valencian dispatch service Spain 2009 2012, comprising clinical features, demographics, circumstantial factors free text dispatcher...
Abstract Introduction Palliative care (PC) has demonstrated benefits for life-limiting illnesses. Nowadays, there is a growing consensus about giving access these services to non-cancer older patients. Bad survival prognosis and patients’ decline are working criterions guide PC decision making. Objective The main aim of this work propose complementary models based on machine learning approaches predict frailty mortality in patients the context supporting Methods dataset used study composed...
<sec> <title>BACKGROUND</title> Obesity and overweight are a serious health problem worldwide with multiple connected causes. Simultaneously, chatbots becoming increasingly popular as way to interact users in mobile apps. </sec> <title>OBJECTIVE</title> This study reports the user-centered design feasibility of chatbot collect linked data support individual social obesity causes populations. <title>METHODS</title> We first studied users’ needs gathered graphical preferences through an open...
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field integrated care on a continuous basis.IJIC has Impact Factor 2.913 (2021 JCR, received June 2022)The IJIC 20th Anniversary Issue was published 2021.