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.

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.

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.