Download or read book Ontology based Interface driven Development of Clinical Data Management Systems written by Shiqiang Tao and published by . This book was released on 2015 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although electronic health record (EHR) has been used for decades and progress has been made in its adoption, paper or document based forms are still in wide use in various clinical settings such as epilepsy center, movement disorder program, and cancer center. Effective data management approaches and systems are needed to be able to make use of the data generated from patient care in order to improve outcomes. In this thesis, we present the design, implementation, and evaluation results from three live clinical web systems: Trial Prospector, Ontology-driven Patient Information Capture system for epilepsy (OPIC), and DataBase system for Deep Brain Stimulation (DBSDB). These systems are for different clinical programs and have different application purposes, but the challenges faced in these programs are common and the methods and solutions introduced for these systems are general and interrelated. These methods work together to effectively complete clinical data management tasks, such as data capture, navigation, query, and visualization. The contributions of the thesis consist of: a generic configurable role-based access control management module to systematically authorize different group of users to the system according to their specific responsibilities; a design methodology of ontology-guided data capture; an ontology-driven interactive interface to build comprehensive queries for patient cohort identification; a new approach for data organization using a technique called active dashboard; and an improved method for agile software development. Trial Prospector manages 85 active clinical trials and has matched more than 5,374 patients to these trials to find eligible participants; OPIC has generated 1140 discharge summaries; DBSDB has captured more than 1,000 clinical data forms for 264 patients. DBSDB has 16 active users, Trial Prospector has 68 active users, and OPIC has active 100 users. Feedback from these users indicate that our systems are robust and user friendly.
Download or read book Ontology Based Information Retrieval for Healthcare Systems written by Vishal Jain and published by John Wiley & Sons. This book was released on 2020-07-29 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation
Download or read book Ontology based Data Integration of Open Source Electronic Medical Record and Electronic Data Capture Systems written by Alicia F. Guidry and published by . This book was released on 2013 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: In low-resource settings, the prioritization of clinical care funding is often determined by immediate health priorities. As a result, investment directed towards the development of standards for clinical data representation and exchange are rare and accordingly, data management systems are often redundant. Open-source systems such as OpenMRS and OpenClinica provide an opportunity to leverage available systems to improve standards and increase interoperability. Nevertheless, continuity of care and data sharing between these systems remains a challenge, particularly in populations with changing health needs, and inconsistent access to health resources. The overarching goal of this project is to enable sharing of data across low cost systems like OpenMRS and OpenClinica using ontologies. The project consists of three aims: 1) describing clinical research and visit data related to the treatment and care of HIV/AIDS patients, 2) developing a prototype data integration system between electronic medical record and electronic data capture systems, and 3) evaluating the utility of the prototype system using simulated and real-world data. In the first aim, I developed a patient identifier and a HIV/AIDS treatment and care ontology to represent the types of data and information created and used by clinicians. This was achieved by gathering data forms used in HIV/AIDS clinics in low-resource settings. From these forms, the patient identifier and HIV/AIDS variables were extracted and used to create the ontologies. In aim 2, the ontologies from aim 1, along with simulated data, were used to develop a prototype data integration system that improves the ability of developers to implement integration systems that meet the needs of users, based on previously created use cases. In the third aim, I evaluated whether the matching algorithm used in the prototype can correctly identify matching patients, and whether the prototype is generalizable to clinical care and research data collected in a real world setting. This work contributes two ontologies to the medical and public health fields that are useful in providing standardization of data elements. Additionally, I provide a prototype data integration system that is useful in facilitating access to previously siloed data and helps reduce the burden of integrating future systems.
Download or read book Ontology Based Information Retrieval for Healthcare Systems written by Vishal Jain and published by John Wiley & Sons. This book was released on 2020-07-10 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation
Download or read book Metadata driven Software Systems in Biomedicine written by Prakash M. Nadkarni and published by Springer Science & Business Media. This book was released on 2011-05-27 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the use of database technology is ubiquitous throughout IT (and health IT in particular), it is not generally appreciated that, as a database increases in scope, certain designs are far superior to others. In biomedical domains, new knowledge is being generated continually, and the databases that must support areas such as clinical care and research must also be able to evolve while requiring minimal or no logical / physical redesign. Appropriately designed metadata, and software designed to utilize it effectively, can provide significant insulation against change. Many of the larger EMR or clinical research database vendors have realized this, but their designs are proprietary and not described in the literature. Consequently, numerous misconceptions abound among individuals who have not had to work with large-scale biomedical systems, and graduates of a health or bioinformatics program may find that they need to unlearn what they were taught in database and software design classes in order to work productively with such systems. A working knowledge of such systems is also important for individuals who are not primarily software developers, such as health informaticians, medical information officers and data analysts. This book is, in a sense, intended to prepare all of the above individuals for the real world.
Download or read book Ontology driven Data Integration for Clinical Sleep Research written by Remo Sebastian Mueller and published by . This book was released on 2011 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comparative effectiveness, clinical translational research, and personalized medicine depend on the accessibility of data and information. This dissertation introduces an ontology-driven architecture for data federation. Ontological systems such as SNOMED CT have been traditionally used for data exchange, to preserve meaning for data elements across systems. We present a novel method of using ontologies to (1) enable data integration from distributed sources (2) facilitate a federated query interface. The contributions of this dissertation are trifold. First, we developed a unified model consisting of a sleep domain ontology and a units ontology into which data sources can be mapped using an intuitive Data Source to Ontology Mapper (DSOM). The DSOM allows for terminology standardization while accommodating local nomenclature. The domain ontology enriches the expressiveness of complex queries sent across data sources, based on graph traversal and ontological equivalence relationships. We provide further extensions to the ontology framework using formulae, for the purpose of inferring, discovering, and validating data across disparate sources. Second, we developed a powerful query interface called the VISual Aggregator and Explorer (VISAGE) for building and executing federated queries across mapped data sources. The interface streamlines the process of identifying case-control patient populations for study design through the use of embedded statistical tools. A framework is provided for the researcher to choose matching criteria and allows the researcher to create control sets based on frequency matching. Third, we implemented a fully operational and user-friendly system based on the ontology-driven architecture, as part of Physio-MIMI, an NCRR-funded multi-CTSA-site project. Using the Agile methodology to facilitate multi-site collaboration, our implementation leverages a suite of latest software development technologies: Ruby On Rails, Prototype JavaScript, AJAX, and Highcharts for a dynamic Web 2.0 interface, Mutual SSL for security and privacy, semantic web ontologies using OWL, and ontology development environments such as Protege. Preliminary comparative analyses and user evaluations of aspects of the system are provided, demonstrating superior results in several usability categories.
Download or read book Ontologies for Software Engineering and Software Technology written by Coral Calero and published by Springer Science & Business Media. This book was released on 2006-10-12 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers two applications of ontologies in software engineering and software technology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.
Download or read book ONTOLOGY BASED EVOLUTION OF DOMAIN ORIENTED LANGUAGES written by EDUARD. ULITIN BABKIN (BORIS.) and published by Springer Nature. This book was released on 2024 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AI and healthcare financial management HFM towards sustainable development written by Ananth Rao and published by Frontiers Media SA. This book was released on 2023-05-25 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Data Analytics in Health written by Philippe J. Giabbanelli and published by Springer. This book was released on 2018-04-20 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
Download or read book Formal Ontology in Information Systems written by Antony Galton and published by IOS Press. This book was released on 2010 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ontology began life in ancient times as a fundamental part of philosophical enquiry concerned with the analysis and categorisation of what exists. In recent years, the subject has taken a practical turn with the advent of complex computerised information systems which are reliant on robust and coherent representations of their subject matter. The systematisation and elaboration of such representations and their associated reasoning techniques constitute the modern discipline of formal ontology, which is now being applied to such diverse domains as artificial intelligence, computational linguistics, bioinformatics, GIS, knowledge engineering, information retrieval and the Semantic Web. Researchers in all these areas are becoming increasingly aware of the need for serious engagement with ontology, understood as a general theory of the types of entities and relations making up their respective domains of enquiry, to provide a solid foundation for their work. The conference series Formal Ontology in Information Systems (FOIS) provides a meeting point for researchers from these and other disciplines with an interest in formal ontology, where both theoretical issues and concrete applications can be explored in a spirit of genuine interdisciplinarity. This volume contains the proceedings of the sixth FOIS conference, held in Toronto, Canada, during 11-14 May 2010, including invited talks by Francis Jeffry Pelletier, John Bateman, and Alan Rector and the 28 peer-reviewed submissions selected for presentation at the conference, ranging from foundational issues to more application-oriented topics. IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences
Download or read book Computational Science ICCS 2021 written by Maciej Paszynski and published by Springer Nature. This book was released on 2021-06-10 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually.
Download or read book German Medical Data Sciences A Learning Healthcare System written by U. Hübner and published by IOS Press. This book was released on 2018-09-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in digital and information technology have meant that medical informatics and its associated fields are of ever-increasing importance in the modern healthcare environment. This book presents selected papers from the 63rd annual conference of the German Society of Medical Information Sciences, Biometry, and Epidemiology, GMDS 2018, held in Osnabrück, Germany, in September 2018. The society encompasses not only medical informatics, biometry and epidemiology, but also medical bioinformatics, systems biology and health data management. The title of this year’s conference is “The Learning Health System: Research Based, Innovative, Connecting”, and 38 full papers of the 164 oral presentations and 65 posters delivered at the conference are included here. A wide variety of scientific topics are covered, including standards to enable the interoperable interchange of information; metadata management; record linkage; IT issues for health care networks; interprofessional teaching and training; eHealth legislation; analysis of miRNAs and RNA-Seq data, among others. The contributors are all specialists in their field, and this book disseminates some of the innovative ideas which are urgently needed to meet the challenges facing a constantly developing digital healthcare environment.
Download or read book Ontology Driven Model for an Engineered Agile Healthcare System written by Balaji Ramadoss and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this research a framework and methodology called the Healthcare Ontology Based Systems Engineering Model (HOB-SEM) is developed to allow for observability and controllability of compartmental healthcare systems. HOB-SEM applies systems and controls engineering principles to healthcare using ontology as the method and the data lifecycle as the framework. The ontology view of patient-level system interaction and the framework to deliver data management and quality lifecycles enables the development of an agile systemic healthcare view for observability and controllability.
Download or read book Intelligent Data Engineering and Analytics written by Suresh Chandra Satapathy and published by Springer Nature. This book was released on 2020-08-29 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.
Download or read book Medinfo 2007 written by Klaus A. Kuhn and published by IOS Press. This book was released on 2007 with total page 1532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers presented are refereed and from all over the world. They reflect the breadth and depth of the field of biomedical and health informatics, covering topics such as; health information systems, knowledge and data management, education, standards, consumer health and human factors, emerging technologies, sustainability, organizational and economic issues, genomics, and image and signal processing. As this volume carries such a wide collection, it will be of great interest to anyone engaged in biomedical and health informatics research and application.
