Health Informatics - Time Standards For Healthcare Specific ProblemsSwiss Standards
Time is the most important variable in healthcare, and standards are needed about how to represent information with explicit references to time. In this paper, the European Prestandard 'TSMI: time standards for healthcare specific problems' (CEN/TC251 preENV 12381) is presented which aims to ...
the quality of care provided in these organizations directly affects health outcomes and resident well-being [1,2]. Several methods have been introduced to evaluate the quality of care in nursing homes [3,4]. For example, data resources such as electronic health records (EHRs), observations by...
The rapid growth of the internet and the World Wide Web has led to the development of pharmacoinformatics technologies to assist oncology healthcare professionals in delivering optimum pharmaceutical care and health-related outcomes. The proliferation of online health information has also empowered patients...
Marie-Catherine Beuscart-Zéphir,S Pelayo,S Bernonville - 《International Journal of Medical Informatics》 被引量: 94发表: 2010年 Human Factors and Systems Engineering Approach to Patient Safety for Radiotherapy The traditional approach to solving patient safety problems in healthcare is to blame th...
Health-related WebsitesAdd and search health related websites.1 Topic · 1 Post Global Health and Educati … 6 years ago·Rida Suha Health ProductsDiscuss Healthcare Products2 Topics · 2 Posts Vitamin D3 5 years ago·Deleted user AdministrationLast post ...
Objective:To select the best of the 2015 published papers on unintended consequences of healthcare information technology (HIT). Method:Literature searches in several areas of scholarship, including IT, human factors, evaluation studies, medical errors, medical informatics, and implementation science. Als...
(1) using AI tools in an assistive role and (2) adapting medical education. The study suggests that we need to take intentional steps in order to ensure that the deployment of AI tools in healthcare has a positive impact on person-centred doctor-patient relationships. We argue that the ...
Ensemble learning combines multiple models to obtain a robust model and has been prominently used with data augmentation methods to address class imbalance problems. In the last decade, a number of strategies have been added to enhance ensemble learning and data augmentation methods, along with new...
In recent years, healthcare professionals have opened up to the idea of using expert systems and artificial intelligence in the diagnosis and classification of self care problems. In this study, we propose a new deep learning based approach named Care2Vec for solving these kind of problems and ...