Security practices and insider threats in Spanish healthcare centers: a survey-based risk assessment.

Introduction: Insider threats pose a critical risk in healthcare environments, where Hospital Information Systems (HIS) manage sensitive patients data. Authorized users may intentionally or accidentally compromise data confidentiality, integrity, and availability. This study assessed information security practices from the perspective of healthcare professionals in Spanish medical centers.

Machine Learning Methods for Predicting Syncope Severity in the Emergency Department: A Retrospective Analysis.

Background And Aims: Syncope is a frequent reason for hospital emergency admissions, presenting significant challenges in determining its cause and associated risks. Despite its prevalence, research on using artificial intelligence (AI) to improve patient outcomes in this context has been limited. The main objective of current study is to predict the severity of syncope cases using machine learning (ML) algorithms based on data collected during on-site treatment and ambulance transportation.

Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network.

COVID-19 infection was reported in December 2019 at Wuhan, China. This virus critically affects several countries such as the USA, Brazil, India and Italy. Numerous research units are working at their higher level of effort to develop novel methods to prevent and control this pandemic scenario.

Predicting Absenteeism and Temporary Disability Using Machine Learning: a Systematic Review and Analysis.

The main objective of this paper is to present a systematic analysis and review of the state of the art regarding the prediction of absenteeism and temporary incapacity using machine learning techniques. Moreover, the main contribution of this research is to reveal the most successful prediction models available in the literature. A systematic review of research papers published from 2010 to the present, related to the prediction of temporary disability and absenteeism in available in different research databases, is presented in this paper.

Wireless Body Area Networks: UWB Wearable Textile Antenna for Telemedicine and Mobile Health Systems.

A compact textile ultra-wideband (UWB) antenna with an electrical dimension of 0.24λ × 0.24λ × 0.

Treatment of Depression in Primary Care with Computerized Psychological Therapies: Systematic Reviews.

Depression is one of the most important causes of disability due to illness in our environment. The primary care health system receives a high percentage of this consultation about psychological distress. Often this end in a pharmacological overtreatment in patients with mild depression, due to a lack of access to alternative tools for management.

Development and Evaluation of a Telematics Platform for Monitoring of Patients in Ambulatory Major Surgery.

Background: Ambulatory surgical procedures (ambulatory major surgery [AMS]), to which many people turn, do not require hospital admission. Patients may continue with their recovery from home on the same day they had surgery.

Objective: The main purpose of this article is to provide a technological solution that may enable nurses to control the evolution of a large number of patients in real time.

Development, Technical, and User Evaluation of a Web Mobile Application for Self-Control of Diabetes.

Objective: The main objective of this research was to develop and evaluate a Web-based mobile application (app) known as "Diario Diabetes" on both a technical and user level, by means of which individuals with diabetes may monitor their illness easily at any time and in any place using any device that has Internet access.

Methods: The technologies used to develop the app were HTML, CSS, JavaScript, PHP, and MySQL, all of which are an open source. Once the app was developed, it was evaluated on a technical level (by measuring loading times) and on a user level, through a survey.

Comparison of response times of a mobile-web EHRs system using PHP and JSP languages.

Performance evaluation is highly important in the Electronic Health Records (EHRs) system implementation. Response time's measurement can be considered as one manner to make that evaluation. In the e-health field, after the creation of EHRs available through different platforms such as Web and/or mobile, a performance evaluation is necessary.