A method and validation for auditing e-Health applications based on reusable software security requirements specifications.

Objective: This article deals with the complex process of obtaining security requirements for e-Health applications. It introduces a tailored audit and validation methodology particularly designed for e-Health applications. Additionally, it presents a comprehensive security catalog derived from primary sources such as law, guides, standards, best practices, and a systematic literature review.

Security vulnerabilities in healthcare: an analysis of medical devices and software.

The integration of IoT in healthcare has introduced vulnerabilities in medical devices and software, posing risks to patient safety and system integrity. This study aims to bridge the research gap and provide valuable insights for addressing healthcare vulnerabilities and their mitigation mechanisms. Software vulnerabilities related to health systems from 2001 to 2022 were collected from the National Vulnerability Database (NVD) systematized by software developed by the researchers and assessed by a medical specialist for their impact on patient well-being.

Automated Workflow for Usability Audits in the PHR Realm.

Teleworking is an everyday reality in today's world. Many companies are opting for this way of working remotely, as it improves employers' satisfaction along with the work-life balance and it does not lead to any significant reduction in performance. In general, the comfortable use of software applications is a priority, and quality aspects such as usability are of vital importance.

Corrigendum to "Energy efficiency in software: A case study on sustainability in personal health records" [J. Clean. Prod. 282 (2021) 124262].

[This corrects the article DOI: 10.1016/j.jclepro.

Effects of Gamification on the Benefits of Student Response Systems in Learning of Human Anatomy: Three Experimental Studies.

This paper presents three experiments to assess the impact of gamifying an audience response system on the perceptions and educational performance of students. An audience response system called SIDRA (Immediate Audience Response System in Spanish) and two audience response systems with gamification features, R-G-SIDRA (gamified SIDRA with ranking) and RB-G-SIDRA (gamified SIDRA with ranking and badges), were used in a General and Descriptive Human Anatomy course. Students participated in an empirical study.

Intracranial pressure analysis software: A mapping study and proposal.

Introduction Intracranial pressure (ICP) monitoring and analysis are techniques that are, each year, applied to millions of patients with pathologies with million of patients annually. The detection of the so called A and B-waves, and the analysis of subtle changes in C-waves, which are present in ICP waveform, may indicate decreased intracranial compliance, and may improve the clinical outcome. Despite the advances in the field of computerized data analysis, the visual screening of ICP continues to be the means principally employed to detect these waves.

Investigating the Impact of Usability on Energy Efficiency of Web-based Personal Health Records.

Usability plays an important role in eHealth applications for their widespread adoption. These software systems have been studied in depth in the literature from this perspective. However, the energy consumption of information systems in the eHealth domain lacks comprehensive research.

A Study on the Relationship between Usability of GUIs and Power Consumption of a PC: The Case of PHRs.

Usability is key to achieve quality in software products. The client applications with a high score in usability might impact on the power consumption when they are run in a PC. For this reason, energy savings turn to be critical in green software systems.

Energy efficiency in software: A case study on sustainability in personal health records.

A personal health record is an eHealth technology in which users can observe their progress over time for a given condition. A research gap was identified in the literature concerning the study of the amount of energy that these systems need for their operation, and the energy efficiency that may be attained depending on their design. After the selection of five representative personal health records, a total of 20 tasks commonly done, and based on previous work, were performed with regard to two proposed scenarios, namely patient use and health personnel usage.

A mapping study of ensemble classification methods in lung cancer decision support systems.

Achieving a high level of classification accuracy in medical datasets is a capital need for researchers to provide effective decision systems to assist doctors in work. In many domains of artificial intelligence, ensemble classification methods are able to improve the performance of single classifiers. This paper reports the state of the art of ensemble classification methods in lung cancer detection.

Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review.

This paper explores the use of ensemble classification methods in the context of the diabetes disease. An analysis was carried out that formulates and answers seven research questions: publication trends, channels and venues; medical tasks undertaken; ensemble types proposed; single techniques used to construct the ensemble methods; rules used to draw the output of the ensemble; datasets used to build and evaluate the ensemble methods; and tools used. A total of 107 papers were chosen after a study selection process.

Using ensemble classification methods in lung cancer disease.

This paper presents an overview of the use of ensemble classification methods in the lung cancer disease. An analysis is carried out according to seven aspects: publication trends, channels and venues; medical tasks tackled; ensemble types proposed; single techniques used to construct the ensemble methods; rules used to draw the output of the ensemble; datasets used to build and evaluate the ensemble methods; and tools used. The application of ensemble methods in lung cancer disease started in 2003.

Improving Accessibility for People with Disabilities: A Case Study on Inclusive Beach Tourism.

Disability is an important area in biomedical engineering. But research on disability should not only focus on the healthcare aspects, but also on the integration of people with disabilities in the cultural and social contexts, such as the existence of architectural elements that prevent the use of common public services. The present research aims to improve accessibility and enjoyment of people with physical and motor disabilities to the tourist resources of the area of interest.

Applying trans-theoretical model for blood donation among Spanish adults: a cross-sectional study.

Background: Relying solely on altruistic appeals may fail to fulfil the increasing demand for blood supplies. Current research has largely been attempted to determine and understand motives that serve as blood donation drivers. The Trans-Theoretical Model of behaviour change (TTM) can be used to conceptualise the process of intentional blood donation behaviour.

Reviewing ensemble classification methods in breast cancer.

Context: Ensemble methods consist of combining more than one single technique to solve the same task. This approach was designed to overcome the weaknesses of single techniques and consolidate their strengths. Ensemble methods are now widely used to carry out prediction tasks (e.

Design and Development of a Mobile App for Accessible Beach Tourism Information for People with Disabilities.

The global increase in the proportion of the population with disabilities has caused a greater awareness toward guaranteeing their use of public services. In particular, there is emphasis on the accessibility and inclusivity of tourism resources, to improve the enjoyment and well-being for people with motor disabilities. This paper presents a case study on accessibility to beaches in the Region of Murcia, Spain, which is one of the main tourist areas in the country.

Sustainable Accessibility: A Mobile App for Helping People with Disabilities to Search Accessible Shops.

People with motor disabilities must face many barriers and obstacles in their daily lives, making it difficult to perform everyday tasks. The purpose of this work is to improve their living conditions by providing an app with accessibility information in an updated, reliable and friendly form. The development of the system integrates national and regional accessibility regulations, architectural aspects, with an extensive field work, and a sustainable software process.

E-health internationalization requirements for audit purposes.

Background And Objective: In the 21st century, e-health is proving to be one of the strongest drivers for the global transformation of the health care industry. Health information is currently truly ubiquitous and widespread, but in order to guarantee that everyone can appropriately access and understand this information, regardless of their origin, it is essential to bridge the international gap. The diversity of health information seekers languages and cultures signifies that e-health applications must be adapted to satisfy their needs.

Are the expected benefits of requirements reuse hampered by distance? An experiment.

Background: Software development processes are often performed by distributed teams which may be separated by great distances. Global software development (GSD) has undergone a significant growth in recent years. The challenges concerning GSD are especially relevant to requirements engineering (RE).

Software project management tools in global software development: a systematic mapping study.

Global software development (GSD) which is a growing trend in the software industry is characterized by a highly distributed environment. Performing software project management (SPM) in such conditions implies the need to overcome new limitations resulting from cultural, temporal and geographic separation. The aim of this research is to discover and classify the various tools mentioned in literature that provide GSD project managers with support and to identify in what way they support group interaction.

A Computer-Aided Detection System for Digital Chest Radiographs.

Computer-aided detection systems aim at the automatic detection of diseases using different medical imaging modalities. In this paper, a novel approach to detecting normality/pathology in digital chest radiographs is proposed. The problem tackled is complicated since it is not focused on particular diseases but anything that differs from what is considered as normality.

An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students.

This paper presents an empirical study of a formative neural network-based assessment approach by using mobile technology to provide pharmacy students with intelligent diagnostic feedback. An unsupervised learning algorithm was integrated with an audience response system called SIDRA in order to generate states that collect some commonality in responses to questions and add diagnostic feedback for guided learning. A total of 89 pharmacy students enrolled on a Human Anatomy course were taught using two different teaching methods.

[A guide to good practice for information security in the handling of personal health data by health personnel in ambulatory care facilities].

The appearance of electronic health records has led to the need to strengthen the security of personal health data in order to ensure privacy. Despite the large number of technical security measures and recommendations that exist to protect the security of health data, there is an increase in violations of the privacy of patients' personal data in healthcare organizations, which is in many cases caused by the mistakes or oversights of healthcare professionals. In this paper, we present a guide to good practice for information security in the handling of personal health data by health personnel, drawn from recommendations, regulations and national and international standards.

Neural network-based data analysis for medical-surgical nursing learning.

This paper presents the results of a project on neural network-based data analysis for knowledge clustering in a second-year course on medical-surgical nursing. Data was collected from 208 nursing students which performed one Multiple Choice Question (MCQ) test at the end of the first term. A total of 23 pattern groups were created using snap-drift.

Effects of competitive computer-assisted learning versus conventional teaching methods on the acquisition and retention of knowledge in medical surgical nursing students.

Purpose: This paper presents a novel approach of computer-assisted learning for nursing education in university undergraduate courses.

Background: The most innovative aspect of the proposal is the design of nursing assignments as on-line competitions. The effects of competitive e-learning versus conventional teaching methods on the acquisition and retention of knowledge were compared in a course on medical-surgical nursing.