Point-of-Care Ultrasound: New Concepts and Future Trends

Ultrasound (US) technology, with major advances and new developments, has become an essential and first-line imaging modality for clinical diagnosis and interventional treatment. US imaging has evolved from one-dimensional, twodimensional to three-dimensional display, and from static to real-time imaging, as well as from structural to functional imaging. Based on its portability and advanced digital imaging technique, US was first adopted by emergency medicine in the 1980s and gradually gained popularity among other specialists for clinical diagnosis and interventional treatment. Point-of-Care Ultrasound (POCUS) was then proposed as a new concept and developed for new uses, which greatly extended clinical US applications. Nowadays, artificial intelligence (AI), cloud computing, 5G network, robotics, and remote technologies are starting to be integrated into US equipment. US systems have gradually evolved to an intelligent terminal platform with powerful imaging and communication tools. In addition, specialized US machines tend to be more suitable and important to meet increasing demands and requirements by various clinical specialties and departments. In this article, we review current US technology and POCUS as new concepts and its future trends, as well as related technological developments and clinical applications

Комплексный анализ процессов интеграции информационных технологий в медицинские организации

Nowadays Information Technologies (IT) are taking more and more stable position in the process of work organization in various companies, and particularly among medical organizations. Present-day scientific society has already begun to research the topic of IT integration particularities into the Health organizations. Current article is focused on this issue. Our team has planned and provided a systematic review to understand which barriers can appear in different medical centers during implementation of the innovative IT into working process. The review has been fulfilled according to the designed protocol based on the actual recommendations of Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. In the course of the workflow we have explored 2050 articles complied with the requirements. As a result, 23 key publications have been chosen and analyzed in detail. After considering the list of issues and barriers associated with the IT Implementation into hospitals and medical centers have been highlighted and described. We have classified them to notional clusters depending on the reasons of their appearance as well. In addition our team has defined the list of practical recommendations following which the result of the IT integration will be improved, but the risk of a negative outcome in the future can be eliminated.На современном этапе технологического развития информационные технологии (ИТ) закономерно занимают стабильную позицию в организации работы различных предприятий, в частности медицинских организаций. В мировом научном сообществе все больше внимания уделяется особенностям интеграции ИТ в медицинскую среду, на этом вопросе и сфокусировано внимание авторов данной статьи. Нашим научным коллективом был спланирован и проведен систематический обзор, целью которого было получить ответ на поставленный исследовательский вопрос: с какими проблемами могут столкнуться организации здравоохранения в процессе внедрения новых медицинских информационных технологий? Выполнение обзора осуществлялось по разработанному протоколу исследования в соответствии с актуальными рекомендациями Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. В ходе последовательно проведенных этапов работы из 2050 обнаруженных статей было отобрано 23 ключевых статьи и проведен их детальный анализ. В итоге были выделены, классифицированы и описаны барьеры, препятствующие успешному внедрению ИТ в учреждения здравоохранения. Кроме того, составлен список практических рекомендаций, выполнение которых, вероятно, приведет к повышению уровня внедрения технологии, а также позволит снизить риск непринятия технологии в долгосрочном периоде

Utilization of big data and cloud computing platforms for the smooth processing of financial ac-counting system data and its implications for the success of village development

This research aims to analyze the direct and indirect influence of the use of Big Data and Cloud Computing Platforms on the smooth processing of financial accounting system data and its implications for the success of village development. This research used quantitative methods, using Saturation sampling techniques, and obtained a sample of 131 respondents who were village financial information system operators, consisting of 131 villages in Pringsewu Regency, Lampung Province, Indonesia. The data collected from the surveys was then analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The research and data analysis demonstrate that Cloud Computing Platforms significantly enhance the efficiency of processing financial accounting system data. Additionally, Cloud Computing Platforms have a direct and positive influence on the success of village development. Moreover, the efficient handling of financial accounting system data directly and significantly impacts the progress of village development. Furthermore, the application of Big Data has a direct and substantial impact on the effective processing of data in financial accounting systems, as well as on the achievement of success in village development. Ultimately, the efficient data processing of the Financial Accounting System serves as a partial intermediary between the utilization of Big Data and Cloud Computing Platforms, and the achievement of village development in Pringsewu Regency, Lampung Province, Indonesia. Because the independent variable is able to significantly influence both directly and indirectly the dependent variable

Contributions from computational intelligence to healthcare data processing

80 p.The increasing ability to gather, store and process health care information, through the electronic health records and improved communication methods opens the door for new applications intended to improve health care in many different ways. Crucial to this evolution is the development of new computational intelligence tools, related to machine learning and statistics. In this thesis we have dealt with two case studies involving health data. The first is the monitoring of children with respiratory diseases in the pediatric intensive care unit of a hospital. The alarm detection is stated as a classification problem predicting the triage selected by the nurse or medical doctor. The second is the prediction of readmissions leading to hospitalization in an emergency department of a hospital. Both problems have great impact in economic and personal well being. We have tackled them with a rigorous methodological approach, obtaining results that may lead to a real life implementation. We have taken special care in the treatment of the data imbalance. Finally we make propositions to bring these techniques to the clinical environment

The Meaningful Use of Cloud Computing in Healthcare

This dissertation focuses on the meaning of cloud computing for healthcare and its meaningful use in the healthcare industry. If used in a meaningful way, cloud computing is argued to be able to provide major benefits to the healthcare industry. Surprisingly, the benefits promised by using cloud computing often do not hold in practice, and the deployment of cloud computing services in healthcare organizations could lead to countereffects for healthcare. Although existing research studies cover a wide range of domains in healthcare, they often do not explain the way in which cloud computing could support healthcare in a systematic manner. In reply to that insufficiency in the research, this dissertation aims to investigate the phenomenon of cloud computing in healthcare organizations and to answer the following overarching research question: How can cloud computing support healthcare organizations in a meaningful way (i.e., meaningful use)? This dissertation conducted four research studies by employing established explorative research methods. The dissertation begins with a study (study 1) that investigates the basic properties of cloud computing services and their specific meanings for the healthcare industry, and suggests concrete directions for studies related to the meaningful use of cloud computing in healthcare. Study 2 focuses on the identification of industry-specific factors for the adoption of cloud computing services in healthcare, and studies 3 and 4 on an investigation of the way in which cloud computing supports collaborative activities in healthcare, respectively. Both focuses belong to research directions suggested by study 1. By addressing the overarching research question, this dissertation could deepen our understanding of the use of information technology (IT) artefacts that advances information systems theories, not only regarding cloud computing itself but also in terms of more general health IT levels

Strategies Among Health Care Business Professionals to Increase Productivity and Revenue

Health care business professionals have been slow to implement electronic medical records (EMRs), although this is a federal requirement tied to reimbursement from Medicare and Medicaid. Guided by the conceptual framework of the technology acceptance model (TAM), the purpose of this single-case study was to explore EMR strategies that health care business professionals use to increase productivity and revenue. The target population was comprised of health care business professionals with EMR strategies in Orange County, New York. Methodological triangulation included analysis of semistructured interviews with 7 health care business professionals and review of organizational documents consisting of emails, meeting minutes, and a handbook. The recruitment strategy used was random sampling and snowball sampling. Analysis included compiling data, coding the data by disassembling into categories, and reassembling the data into emergent themes. The findings of the study included 5 themes or strategies focused on EMR implementation, leaders\u27 efforts to support and sustain the EMR, helping users accept the EMR, communication and efficiency for increasing productivity and revenue, and helping users improve health care safety. Health care business organizations can benefit by knowing where to focus their resources, maximizing return on investment. The findings could effect social change by enumerating strategies that businesses can use to improve performance, and productivity for health care business professionals and improve quality, care coordination, and management of population health and safety of health care for patients