Готові списки джерел за темами / Medical informatics

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Добірка наукової літератури з теми "Medical informatics"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 29 липня 2024

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Статті в журналах з теми "Medical informatics"

Masic, Izet. "Acta Informatica Medica Journal Review in 2021." Acta Informatica Medica 30, no. 1 (2022): 88. http://dx.doi.org/10.5455/aim.2022.30.88-90.

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Acta Informatica Medica journal (www.actainformmed.org), as Biomedical Informatics journal, during past 30 years of existing played important role in distribution of knowledge and experience within this scientific field, by publishing contributions of the biomedical experts from worlwide and spreading of Biomedical informatics knowledge and experiences in scientific and academic community. Acta Informatica Medica journal has been founded in the year 1993 as official journal of Bosnian-Herzegovinan Society of Medical Informatics (BHSMI). In the year 2019 Acta Informatica Medica has been accepted as official journal of the European Federation for Medical Informatics (www.efmi.org), besides 3 other journals: International Journal of Medical Informatics, Methods of Information in Medicine and European Journal of Biomedical Informatics. Journal Acta Informatica Medica is abstracted and indexed in 30 on-line data bases, including Pubmed, Pubmed Central, Scopus, Embase, Hinari, etc. The journal follows the Guidelines and recommendations of ICJME, COPE, EASE, WAME, etc. as well as the recommendations of the “Sarajevo Declaration on Integrity and Visibility of Scholarly Journals”, accepted by 17 Editors of biomedical journals at “SWEP 2018” Conference held in Sarajevo and printed in the countries in South-Eastern Europe. The journal supports presentations at conferences held in Bosnia and Herzegovina. The abstract papers presented at “The Mediterranean Seminar on Science Writing, Editing and Publishing“ – “SWEP 2016”, “SWEP 2018”; “SWEP 2020” and “SWEP 2021”, also found its place in the journal, by which we met our goal of promoting science and scientific publication at the area of Bosnia and Herzegovina and other countries in the region. SCImago rank for 2021 announced the bibliometric list of the journals deposited in SCOPUS indexed database. On the list are 16 journals which are published in Bosnia and Herzegovina, and between them are 7 within biomedical sciences. Three highest are Bosnian Journal of Basic Medical Sciences - H-Index is 29, Medical Archives - H-Index is 26 and Acta Informatica Medica - H-Index is 24, etc. Acta Informatica Medical journal has Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher updated on May 27, 2022: Impact Score - 1.87; h-Index - 24; Rank -12749 and SJR - 0.372.

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Kulikowski, C., A. Bohne, K. Ganser, R. Haux, P. Knaup, C. Maier, A. Michel, R. Singer, A. C. Wolff, and E. Ammenwerth. "Medical Imaging Informatics and Medical Informatics: Opportunities and Constraints." Methods of Information in Medicine 41, no. 02 (2002): 183–89. http://dx.doi.org/10.1055/s-0038-1634304.

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Summary Objectives: The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of recent excellent papers on medical informatics research (http://www.yearbook.uni-hd.de). The 2002 Yearbook of Medical Informatics took as its theme the topic of Medical Imaging Informatics. In this paper, we will summarize the contributions of medical informatics researchers to the development of medical imaging informatics, discuss challenges and opportunities of imaging informatics, and present the lessons learned from the IMIA Yearbook 2002. Results and Conclusions: Medical informatics researchers have contributed to the development of medical imaging methods and systems since the inception of this field approximately 40 years ago. The Yearbook presents selected papers and reviews on this important topic.In addition, as usual, the Yearbook 2002 also contains a variety of papers and reviews on other subjects relevant to medical informatics, such as Bioinformatics, Computer-supported education, Health and clinical management, Health information systems, Knowledge processing and decision support, Patient records, and Signal processing.

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Singer, Jennifer S., Eric M. Cheng, Kevin Baldwin, and Michael A. Pfeffer. "The UCLA Health Resident Informaticist Program – A Novel Clinical Informatics Training Program." Journal of the American Medical Informatics Association 24, no. 4 (January 23, 2017): 832–40. http://dx.doi.org/10.1093/jamia/ocw174.

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Abstract Few opportunities exist for physician trainees to gain exposure to, and training in, the field of clinical informatics, an Accreditation Council for Graduate Medical Education–accredited, recently board-certified specialty. Currently, 21 approved programs exist nationwide for the formal training of fellows interested in pursuing careers in this discipline. Residents and fellows training in medical and surgical fields, however, have few avenues available to gain experience in clinical informatics. An early introduction to clinical informatics brings an opportunity to generate interest for future career trajectories. At University of California Los Angeles (UCLA) Health, we have developed a novel, successful, and sustainable program, the Resident Informaticist Program, with the goals of exposing physician trainees to the field of clinical informatics and its academic nature and providing opportunities to expand the clinical informatics workforce. Herein, we provide an overview of the development, implementation, and current state of the UCLA Health Resident Informaticist Program, with a blueprint for development of similar programs.

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Collen, Morris. "History of Medical Informatics: Fifty Years in Medical Informatics." Yearbook of Medical Informatics 15, no. 01 (August 2006): 174–79. http://dx.doi.org/10.1055/s-0038-1638467.

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SummaryAn overview of personal experiences in medical informatics based on Dr. Morris Collen’s 50 years of research in the field.A personal reminiscence and historical overview, focusing on the first two decades of medical informatics, when Dr. Collen began working with Dr. Sidney Garfield, the founder of Kaiser Permanente, leading to his involvement in computer-based medical care, through the development of the pioneering Automated Multiphasic Health Testing (AMHT) system, which they introduced into Kaiser clinics in Oakland and San Francisco.Statistical models for medical decision-making based on consultations with Jerzy Neyman and George Dantzig were incorporated into the AMHT, and tested on a large database of cases. Meetings with other pioneers in medical informatics at the Karolinska Institute led to the formation of the early society Salutas Unitas, and the many national and international collaborations which followed during the first two decades helped coalesce the field as clinicians and researchers investigated problems of medical data, decision support, and laboratory, hospital, and library information systems.Dr. Collen’s research and his many medical informatics activities significantly contributed to the growth of the field. The U.S. contributions are covered extensively in his book, A History of Medical Informatics in the United States, 1950-1990. Washington, DC: Am Med Informatics Association 1995.

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Haux, R. "On Medical Informatics." Methods of Information in Medicine 28, no. 02 (April 1989): 66–68. http://dx.doi.org/10.1055/s-0038-1635552.

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Abstract:This paper summarizes the author’s point of view of defining medical informatics, to stimulate further discussions on how this “newly emerging discipline” should further proceed. We realize that the term “informatics” is related rather to the term “information science” than to “computer science”. Accordingly, medical informatics deals with the systematic processing of information in medicine. Many information systems in medicine are interrelated and can hardly be regarded as independent systems. As a result, medicine becomes gradually more an “empirical science of extreme complexity”. Because of its complexity and wide range of applications, medical informatics should be considered as a separate discipline, its aim being to contribute to the systematic processing of information in medicine. The contribution of medical informatics should be a better understanding of the human being and means for the provision of high quality patient care.

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Diouny, S., K. Balar, and M. Bennani Othmani. "Medical Informatics in Morocco: Casablanca Medical Informatics Laboratory." Yearbook of Medical Informatics 16, no. 01 (August 2007): 138–40. http://dx.doi.org/10.1055/s-0038-1638537.

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SummaryIn 2005, Medical Informatics Laboratory (CMIL) became an independent research unit within the Faculty of Medicine and Pharmacy of Casablanca. CMIL is currently run by three persons (a university professor, a data processing specialist and a pedagogical assistant). The objectives of CMIL are to promote research and develop quality in the field of biomedical data processing and health, and integrate new technologies into medical education and biostatistics. It has four units: Telehealth Unit, Network Unit, Biostatistics Unit, Medical data processing Unit.The present article seeks to give a comprehensive account of Casablanca Medical informatics laboratory (CMIL) activities. For ease of exposition, the article consists of four sections: Section I discusses the background of CMIL; section II is devoted to educational activities; section III addresses professional activities; and section IV lists projects that CMIL is involved in.Since its creation, CMIL has been involved in a number of national and international projects, which have a bearing on Telemedicine applications, E-learning skills and data management in medical studies in Morocco.It is our belief that the skills and knowledge gained in the past few years would certainly enrich our research activities, and improve the situation of research in Medical informatics in Morocco.

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Lun, K. C. "Challenges in Medical Informatics: Perspectives of an International Medical Informatics Organization." Methods of Information in Medicine 41, no. 01 (2002): 60–63. http://dx.doi.org/10.1055/s-0038-1634315.

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Summary Objective: As an international organization with the missions to promote informatics in health care and biomedical research, advance international cooperation, stimulate research, development and education, and disseminate and exchange information, the International Medical Informatics Association (IMIA) must be constantly cognizant of new developments in medical informatics and address the challenges to the discipline. From an international organization standpoint, it perceives three major challenges viz. the Identity, Organizational and Leadership challenges. Method: This paper attempts to identify and discuss these challenges and to offer ways to overcome them through the activities of an international organization for medical informatics. Results and Conclusion: From an international organization standpoint, IMIA can help overcome these organizational challenges by ensuring strong leadership throughout its echelon, actively promoting its goals and objectives worldwide through its national and institutional members as well as its regional groups and encouraging strategic partnerships between its many Working Groups and Special Interest Group on Nursing with other international organizations and industry to further promote the awareness and the perception of the relevance of medical informatics to health and medicine by the international community.

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Masic, Izet, and Catherine Chronaki. "EFMI Inside - the Official Newsletter of the European Federation for Medical Informatics - 2021-1." Acta Informatica Medica 30, no. 1 (2022): 137. http://dx.doi.org/10.5455/aim.2022.30.137-177.

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This is the second volume of the official magazine of the European Federation for MedicalInformatics (EFMI) named as “EFMI Inside”, which was established as Newspaper in Lyon in August 2019, during “MEDINFO 2019” Conference and EFMI Council meeting. Idea for founding EFMI Inside was born by Catherine Chronaki, current President of EFMI and Izet Masic, Honorary Fellow of EFMI and Editor-in-Chief of the official journal of EFMI Acta Informatica Medica. EFMI Council members discussed and concluded to start with magazine in which we can record important and prompt facts and information about past of EFMI, with current and future activities of European Federation for Medical Informatics). After the first issue published in 2020 a lot of medical informaticians expressed their positive comments about usufull and informative magazine within medical informatics field worldwide. This publication became an important and useful resource of EFMI activities for everybody who wants to be familiar with Medical informatics development and achievements in all areas of this academic and scientific discipline in European countries, but also, worldwide. The second issue covered facts about 31st MIE 2021 Conference organized in Athens in May 2021, but also contains important facta about other EFMI activities and intreview with a pinoneer of Medica informatics, academician Gjuro Dezelic from Croatia, and finaly, obituaries of the three influential Medical informatics experts: Francis Roger France, Ragnar Nordberg and Peter Pharow. Some of chairs of Working Groups contributed with their reports in the past year who were actively involved in the development of Medical informatics in their countries, but also worldwide.

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Haux, R., F. J. Leven, J. R. Moehr, and D. J. Protti. "Health and Medical Informatics Education." Methods of Information in Medicine 33, no. 03 (1994): 246–49. http://dx.doi.org/10.1055/s-0038-1635023.

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Abstract:Health and medical informatics education has meanwhile gained considerable importance for medicine and for health care. Specialized programs in health/medical informatics have therefore been established within the last decades.This special issue of Methods of Information in Medicine contains papers on health and medical informatics education. It is mainly based on selected papers from the 5th Working Conference on Health/Medical Informatics Education of the International Medical Informatics Association (IMIA), which was held in September 1992 at the University of Heidelberg/Technical School Heilbronn, Germany, as part of the 20 years’ celebration of medical informatics education at Heidelberg/Heilbronn. Some papers were presented on the occasion of the 10th anniversary of the health information science program of the School of Health Information Science at the University of Victoria, British Columbia, Canada. Within this issue, programs in health/medical informatics are presented and analyzed: the medical informatics program at the University of Utah, the medical informatics program of the University of Heidelberg/School of Technology Heilbronn, the health information science program at the University of Victoria, the health informatics program at the University of Minnesota, the health informatics management program at the University of Manchester, and the health information management program at the University of Alabama. They all have in common that they are dedicated curricula in health/medical informatics which are university-based, leading to an academic degree in this field. In addition, views and recommendations for health/medical informatics education are presented. Finally, the question is discussed, whether health and medical informatics can be regarded as a separate discipline with the necessity for specialized curricula in this field.In accordance with the aims of IMIA, the intention of this special issue is to promote the further development of health and medical informatics education in order to contribute to high quality health care and medical research.

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Bennani Othmani, M., S. Diouny, and O. Bouhaddou. "Medical Informatics in Morocco." Yearbook of Medical Informatics 22, no. 01 (August 2013): 190–96. http://dx.doi.org/10.1055/s-0038-1638855.

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Summary Objectives: Informatics is an essential tool for helping to transform healthcare from a paper-based to a digital sector. This article explores the state-of-the-art of health informatics in Morocco. Specifically, it aims to give a general overview of the Moroccan healthcare system, the challenges it is facing, and the efforts undertaken by the informatics community and Moroccan government in terms of education, research and practice to reform the country's health sector. Methods: Through the experience of establishing Medical Informatics as a medical specialty in 2008, creating a Moroccan Medical Informatics Association in 2010 and holding a first national congress took place in April 2012, the authors present their assessment of some important priorities for health informatics in Morocco. Results: These Moroccan initiatives are facilitating collaboration in education, research, and implementation of clinical information systems. In particular, the stakeholders have recognized the need for a national coordinator office and the development of a national framework for standards and interoperability. Conclusion: For developing countries like Morocco, new health IT approaches like mobile health and trans-media health advertising could help optimize scarce resources, improve access to rural areas and focus on the most prevalent health problems, optimizing health care access, quality, and cost for Morocco population.

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Дисертації з теми "Medical informatics"

Mulenga, Jacob S. "Intranet systems engineering for medical informatics." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396480.

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Houston, Andrea Lynn 1954. "Knowledge integration for medical informatics: An experiment on a cancer information system." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288868.

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This research investigated the question of whether automatic or system-generated information classification methods can help humans better manage information. A series of four experiments were conducted; they investigated the usability (i.e., usefulness) of two automatic approaches to information classification, the concept space approach and a Kohonen-based SOM approach in the context of information retrieval. The concept space approach was evaluated in three different domains: Electronic Brainstorming (EBS) sessions, the Internet, and medical literature (the CancerLit collection). The Kohonen-based SOM approach was evaluated in the Internet and medical literature (CancerLit) domains only. In each case, the approach under investigation was compared with existing systems in order to demonstrate performance viability. The basic premise that information management, in particular information retrieval, can be successfully supported by system-based information classification techniques and that humans would find such techniques viable and useful was supported by the experiments. The concept space approach was more successful than the Kohonen-based SOM approach. After modifications to the algorithms based on user feedback from the EBS experiments had been made, users found the concept space approach results to be comparable (in the Internet study) or superior (in the CancerLit study) to existing information classification systems. The key future enhancement will be incorporation of better ways to identify document descriptors through syntactic and semantic front-end processing. The Kohonen-based SOM approach was considered difficult to use in all but one specialized case (the dynamic SOM created as part of the CancerLit prototype). This can probably be attributed to the fact that its associative organization does not match with the standard mental models (hierarchical and alphabetic) for information classification.

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Hu, Jian. "Interoperability of heterogeneous medical databases." Thesis, Heriot-Watt University, 1994. http://hdl.handle.net/10399/1358.

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Hu, Wenyang. "Ontology-based Web informatics system." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000129.

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Thesis (M.E.)--University of Florida, 2002.
Title from title page of source document. Document formatted into pages; contains viii, 55 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Song, Lihong. "Medical concept embedding with ontological representations." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/703.

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Learning representations of medical concepts from the Electronic Health Records (EHRs) has been shown effective for predictive analytics in healthcare. The learned representations are expected to preserve the semantic meanings of different medical concepts, which can be treated as features and thus benefit a variety of applications. Medical ontologies have also been explored to be integrated with the EHR data to further enhance the accuracy of various prediction tasks in healthcare. Most of the existing works assume that medical concepts under the same ontological category should share similar representations, which however does not always hold. In particular, the categorizations in the categorical medical ontologies were established with various factors being considered. Medical concepts even under the same ontological category may not follow similar occurrence patterns in the EHR data, leading to contradicting objectives for the representation learning. In addition, these existing works merely utilize the categorical ontologies. Actually, it has been noticed that ontologies containing multiple types of relations are also available. However, studies rarely make use of the diverse types of medical ontologies. In this thesis research, we propose three novel representation learning models for integrating the EHR data and medical ontologies for predictive analytics. To improve the interpretability and alleviate the conflicting objective issue between the EHR data and medical ontologies, we propose techniques to learn medical concepts embeddings with multiple ontological representations. To reduce the reliance on labeled data, we treat the co-occurrence statistics of clinical events as additional training signals, which help us learn good representations even with few labeled data. To leverage the various domain knowledge, we also consider multiple medical ontologies (CCS, ATC and SNOMED-CT) and propose corresponding attention mechanisms so as to take the best advantage of the medical ontologies with better interpretability. Our proposed models can achieve the final medical concept representations which align better with the EHR data. We conduct extensive experiments, and our empirical results prove the effectiveness of the proposed methods. Keywords: Bio/Medicine, Healthcare-AI, Electronic Health Record, Representation Learning, Machine Learning Applications

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Sætre, Rune. "GeneTUC: Natural Language Understanding in Medical Text." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-545.

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Natural Language Understanding (NLU) is a 50 years old research field, but its application to molecular biology literature (BioNLU) is a less than 10 years old field. After the complete human genome sequence was published by Human Genome Project and Celera in 2001, there has been an explosion of research, shifting the NLU focus from domains like news articles to the domain of molecular biology and medical literature. BioNLU is needed, since there are almost 2000 new articles published and indexed every day, and the biologists need to know about existing knowledge regarding their own research. So far, BioNLU results are not as good as in other NLU domains, so more research is needed to solve the challenges of creating useful NLU applications for the biologists.

The work in this PhD thesis is a “proof of concept”. It is the first to show that an existing Question Answering (QA) system can be successfully applied in the hard BioNLU domain, after the essential challenge of unknown entities is solved. The core contribution is a system that discovers and classifies unknown entities and relations between them automatically. The World Wide Web (through Google) is used as the main resource, and the performance is almost as good as other named entity extraction systems, but the advantage of this approach is that it is much simpler and requires less manual labor than any of the other comparable systems.

The first paper in this collection gives an overview of the field of NLU and shows how the Information Extraction (IE) problem can be formulated with Local Grammars. The second paper uses Machine Learning to automatically recognize protein name based on features from the GSearch Engine. In the third paper, GSearch is substituted with Google, and the task in this paper is to extract all unknown names belonging to one of 273 biomedical entity classes, like genes, proteins, processes etc. After getting promising results with Google, the fourth paper shows that this approach can also be used to retrieve interactions or relationships between the named entities. The fifth paper describes an online implementation of the system, and shows that the method scales well to a larger set of entities.

The final paper concludes the “proof of concept” research, and shows that the performance of the original GeneTUC NLU system has increased from handling 10% of the sentences in a large collection of abstracts in 2001, to 50% in 2006. This is still not good enough to create a commercial system, but it is believed that another 40% performance gain can be achieved by importing more verb templates into GeneTUC, just like nouns were imported during this work. Work has already begun on this, in the form of a local Masters Thesis.

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Zhang, Xiang. "Efficiency in Emergency medical service system : An analysis on information flow." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1620.

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In an information system which includes plenty of information services, we are always seeking a solution to enhance efficiency and reusability. Emergency medical service system is a classic information system using application integration in which the requirement of information flow transmissions is extremely necessary. We should always ensure this system is running in best condition with highest efficiency and reusability since the efficiency in the system directly affects human life.

The aim of this thesis is to analysis emergency medical system in both qualitative and quantitative ways. Another aim of this thesis is to suggest a method to judge the information flow through the analysis for the system efficiency and the correlations between information flow traffic and system applications.

The result is that system is a main platform integrated five information services. Each of them provides different unattached functions while they are all based on unified information resources. The system efficiency can be judged by a method called Performance Evaluation, the correlation can be judged by multi-factorial analysis of variance method.

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Ellis, Jeremy Charles. "Medical informatics : the generic interchange of comprehensive health data." Thesis, University of Hull, 1999. http://hydra.hull.ac.uk/resources/hull:4636.

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The objective of this project was to study the area of generic transfer of comprehensive medical data.The work presented in this thesis had as its main premise the belief that generic transfer of comprehensive medical data will help towards the goal of better healthcare particularly in an environment of shared care. It studied the main methods of data transfer available at present, and as a result carried out an in depth review of one such method adopted by the National Health Service (NHS). Criticism of this method was made. These criticisms lead on to the development of an alternative method of generic data transfer based on an emerging European standard for the storage of medical data. This in turn led on to the consideration of data in legacy systems. Finally, an evaluation of the developed method was undertaken.

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Andrews, James Everett. "A bibliometric investigation of medical informatics : a communicative action perspective /." free to MU campus, to others for purchase, 2000. http://wwwlib.umi.com/cr/mo/fullcit?p9999269.

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Firoozbakht, Mohsen. "Regions-of-interest-driven medical image compression." Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/28208/.

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Advances in medical imaging technologies, particularly magnetic resonance imaging and multi-detector Computed Tomography (CT), have resulted in substantial increase in the size of datasets. In order to reduce the cost of storage and diagnostic analysis and transmission time without significant reduction in image quality, a state of the art image compression technique is required. We propose here a context based and regions of interest (ROI) based approach for the compression of 3D CT images and in particular vascular images, where a high spatial resolution and contrast sensitivity is required in specific areas. The methodology is developed based on the JPEG2000 standard to provide a variable level of compression in the (x,y) plane as well as in the z axis. The proposed lossy-to-lossless method compresses multiple ROIs depending on the degrees of clinical interest. High priority areas are assigned a higher precision (up to lossless compression) than other areas such as background. ROIs are annotated automatically. The method has been optimized and applied to the vascular images from CT angiography for peripheral arteries and compared with a standard medical image codec on 10 datasets regarding image quality and diagnostic performances. The average size of the compressed images can be reduced to 61, 60, 66, and 89 percent with respect to the lossless JP2K, Lossless JP3D, Lossless H.264, and original image respectively with no remarkable impairment for the diagnostic accuracy based on visual judgement of two radiologists.

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Книги з теми "Medical informatics"

Shortliffe, Edward H., and Leslie E. Perreault, eds. Medical Informatics. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-0-387-21721-5.

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Chen, Hsinchun, Sherrilynne S. Fuller, Carol Friedman, and William Hersh, eds. Medical Informatics. Boston: Kluwer Academic Publishers, 2005. http://dx.doi.org/10.1007/b135955.

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Mordechai, Shaul, and Ranjit Sahu. Medical informatics. Rijeka, Croatia: Intech, 2012.

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Bui, Alex A. T., and Ricky K. Taira, eds. Medical Imaging Informatics. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-0385-3.

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World Postgraduate Surgical Week of the University of Milan. (1st 1988). Infections, medical informatics. Edited by Granelli P, Montorsi M, and International College of Surgeons. World Congress. Bologna: Monduzzi, 1988.

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1935-, Cleveland Donald B., ed. Health informatics for medical librarians. New York: Neal-Schuman Publishers, Inc., 2009.

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Dombal, F. T. De. Medical informatics: The essentials. Oxford: Boston, 1996.

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Adlassnig, Klaus-Peter, Georg Grabner, Stellan Bengtsson, and Rolf Hansen, eds. Medical Informatics Europe 1991. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9.

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Roger, F. H., P. Grönroos, R. Tervo-Pellikka, and R. O’Moore, eds. Medical Informatics Europe 85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-93295-3.

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Gao, Xiaohong, Henning Müller, Martin J. Loomes, Richard Comley, and Shuqian Luo, eds. Medical Imaging and Informatics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79490-5.

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Частини книг з теми "Medical informatics"

Smith, Roger P., and Margaret J. A. Edwards. "Medical Informatics." In The Internet for Physicians, 43–52. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-6744-5_7.

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Smith, Roger P., and Margaret J. A. Edwards. "Medical Informatics." In The Internet for Physicians, 60–69. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3074-6_10.

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Closa, Daniel, Alex Gardiner, Falk Giemsa, and Jörg Machek. "Medical Informatics." In Patent Law for Computer Scientists, 155–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05078-7_11.

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Huang, Chin-Yin. "Medical Informatics." In Springer Handbook of Automation, 1423–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78831-7_80.

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Valdez, Rupa S., and Patricia Flately Brennan. "Medical Informatics." In eHealth Solutions for Healthcare Disparities, 93–108. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-72815-5_10.

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Owens, Douglas K., and Harold C. Sox. "Medical Decision-Making: Probabilistic Medical Reasoning." In Medical Informatics, 76–131. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-0-387-21721-5_3.

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Cohen, Joshua R. "Medical-Legal." In Health Informatics, 417–24. New York: Productivity Press, 2022. http://dx.doi.org/10.4324/9780429423109-27.

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Seeram, Euclid. "Medical Imaging Informatics." In Digital Radiography, 85–95. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6522-9_10.

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Hsu, William, Suzie El-Saden, and Ricky K. Taira. "Medical Imaging Informatics." In Advances in Experimental Medicine and Biology, 167–224. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1503-8_8.

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Bansal, Arvind Kumar, Javed Iqbal Khan, and S. Kaisar Alam. "Medical Imaging Informatics." In Introduction to Computational Health Informatics, 255–300. Boca Raton : CRC Press, [2020] | Series: Chapman & Hall/CRC data mining and knowledge discovery series: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781003003564-5.

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Тези доповідей конференцій з теми "Medical informatics"

Matiasko, Karol, and Michal Kvet. "Medical data management." In 2017 IEEE 14th International Scientific Conference on Informatics. IEEE, 2017. http://dx.doi.org/10.1109/informatics.2017.8327256.

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Atupelage, Chamidu, Ruwan Ranaweera, Mohan Jayathilake, Roshan Yapa, Amalka Pinidiyaarachchi, and Anuja Dharmarathne. "Medical informatics." In 2013 International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE, 2013. http://dx.doi.org/10.1109/icter.2013.6761203.

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Nelson, Shallom, and Kamil Dimililer. "Medical Informatics: A Systematic review on Health and Medical Information Systems." In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2023. http://dx.doi.org/10.1109/asyu58738.2023.10296681.

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Melo, J. S. S., L. M. Brasil, R. Balaniuk, E. Ferneda, and J. S. Santana. "Medical simulation platform." In Informatics (ISCI). IEEE, 2011. http://dx.doi.org/10.1109/isci.2011.5959004.

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Dalveren, Gonca Gokce Menekse, and Deepti Mishra. "Software Engineering in Medical Informatics." In the 9th International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3357419.3357444.

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Bardram, Jakob. "Session details: Collaborative medical informatics." In CSCW08: Computer Supported Cooperative Work. New York, NY, USA: ACM, 2008. http://dx.doi.org/10.1145/3260851.

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Bamidis, Panagiotis D., Stathis Th Konstantinidis, Eleni Kaldoudi, Charalambos Bratsas, Maria M. Nikolaidou, Dimitris Koufogiannis, Nicos Maglaveras, and Costas Pappas. "New Approaches in Teaching Medical Informatics to Medical Students." In 2008 21st International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2008. http://dx.doi.org/10.1109/cbms.2008.118.

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"STRUCTURING MEDICAL AGILITY." In International Conference on Health Informatics. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003276406140617.

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"Knowledge-based medical informatics applications and medical decision support systems." In 2010 8th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2010. http://dx.doi.org/10.1109/indin.2010.5549640.

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Yamamoto, Yasuhito, and Yukako Yokouchi. "The Necessity of Medical Informatics System Developed by Medical Staff." In 2007 IEEE/ICME International Conference on Complex Medical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/iccme.2007.4381749.

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Звіти організацій з теми "Medical informatics"

Sokolov, Sergey, Valery Teleshev, Dmitry Sokolovsky, Vadim Krokhalev, and Alexey Rezaykin. Online course "Medical informatics". SIB-Expertise, July 2022. http://dx.doi.org/10.12731/er0584.29072022.

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"Задачи курса состоят в том, чтобы студенты обучающиеся на специальностях: 31.05.01 ""Лечебное дело"", 31.05.02 Педиатрия, 31.05.03 ""Стоматология"", 32.05.01 Медико-профилактическое дело, получили навыки работы с программными и техническими средствами информатики, используемыми на различных этапах получения и анализа биомедицинской информации. Курс посвящен знакомству с пакетом программ MS Office, изучению и практическому применению методов первичного статистического анализа медико-биологических данных, знакомству с основами биоинформатики."

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Detmer, Don. American Medical Informatics Association (AMIA) 2007 Annual Symposium. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada480011.

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Sokolovsky, Dmitry, Sergey Sokolov, and Alexey Rezaykin. e-learning course "Informatics". SIB-Expertise, January 2024. http://dx.doi.org/10.12731/er0785.29012024.

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The e-learning course "Informatics" is compiled in accordance with the requirements of the Federal State Educational Standard of Higher Education in the specialty 33.05.01 Pharmacy (specialty level), approved by Order of the Ministry of Education and Science of the Russian Federation dated August 11, 2016 No. 1037, and taking into account the requirements of the professional standard 02.006 "Pharmacist", approved by order of the Ministry of Labor and Social Protection No. 91n of the Russian Federation dated March 9, 2016. The purpose of the course is to master the necessary amount of theoretical and practical knowledge in computer science for graduates to master competencies in accordance with the Federal State Educational Standard of Higher Education, capable and ready to perform the work functions required by the professional standard. Course objectives: to provide knowledge about the rules of working with spreadsheets; to provide knowledge about working in medical information systems and the Internet information and telecommunications network; to provide skills in working with computer science software and hardware used at various stages of obtaining and analyzing biomedical information; to learn how to use the knowledge gained to solve problems of pharmaceutical and biomedical content. The labor intensity of the course is 72 hours. The course consists of 12 didactic units.

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Banish, Michele. Medical Image and Information Processor. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada373351.

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Magomedov, I. A., and I. R. Midalishov. ANALYSIS OF MODERN MEDICAL INFORMATION SYSTEMS. PJSC GAZPROM, 2019. http://dx.doi.org/10.18411/9785-6043-2019-10010.

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Barrett, Harrison H. Information Processing in Medical Imaging Meeting (IPMI). Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada278488.

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Carey, Neil B., Cori R. Rattelman, and Hung Q. Nguyen. Synopsis of Information Requirements in Future Medical Operations. Fort Belvoir, VA: Defense Technical Information Center, November 1996. http://dx.doi.org/10.21236/ada323915.

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Damiano, Peter C., Ki Park, and Kristi Law. Health Information Technology use in Iowa Medical Laboratories. Iowa City, Iowa: University of Iowa Public Policy Center, November 2010. http://dx.doi.org/10.17077/21rj-k71d.

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Tkachenko, Tatyana, Evgeny Silchuk, Lidiya Neupokoeva, Anastasia Shestakova, Natalia Berthold, Olesya Pasko, Igor Koloman, Anastasia Shaforostova, Dmitry Syskov, and Svetlana Tuzlukova. Information technologies in pedagogy: the information educational environment of the Medical University. SIB-Expertise, January 2024. http://dx.doi.org/10.12731/er0787.29012024.

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The electronic educational resource is designed for teachers to master the theoretical foundations and practical skills of using information technology in the educational process and education management, as well as the application of various models of e-learning (EE) and distance learning technologies (DOT) in teaching practice. The electronic educational resource provides for the study of the regulatory framework governing the use of information and distance learning technologies in the education system. Formation and improvement of skills in using the tools of the digital educational environment of the medical university in the context of the transformation of distance learning. The course contains 2 modules MODULE 1. Information technology in education management. MODULE 2. Information technology in the educational process

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Chagas, Gabriel, Rafael Chagas, and Amanda Rangel. Effectiveness and Safety of Single Antiplatelet Therapy with P2Y12 Inhibitor Monotherapy versus Dual Antiplatelet Therapy After Percutaneous Coronary Intervention for Acute Coronary Syndrome: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0097.

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Review question / Objective: What are the effects of single antiplatelet therapy with P2Y12 inhibitor monotherapy versus dual antiplatelet therapy after percutaneous coronary intervention for acute coronary syndrome? Condition being studied: Antiplatelet therapy after percutaneous coronary intervention for acute coronary syndrome. Information sources: The databases will be Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (Embase), and Cochrane Library. Searches were conducted on July 25, 2022 and will be updated on August 25, 2022. There will be no language or publication period restrictions.

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