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Book Text and Ontology Driven Clinical Decision Support System

Download or read book Text and Ontology Driven Clinical Decision Support System written by Deepal Susil Dhariwal and published by . This book was released on 2013 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vast amounts of information are present in unstructured format in physicians' notes. Text processing techniques can be used to extract clinically relevant entities from such data. The extracted entities can then be mapped to concepts from medical ontologies to generate a structured Knowledge Base (KB) of patient facts. Clinical Rules written over this KB could then be used to develop systems that can help with a variety of clinical tasks such as decision support alerts in diagnostic process. We propose a generic text and ontology driven information extraction framework. In the first phase, preprocessing techniques such as section tagging, dependency parsing, gazetteer lists are used filter clinical terms from the raw data. The clinical records are parsed using Clinical Text Analysis and Knowledge Extraction System, to extract prior medical history, medications, observations, laboratory results etc. For every concept we consider its polarity, section in which the concept occurs, the associated numerical value, synonyms etc. In the second phase, a domain specific medical ontology is used to establish relation between the extracted clinical terms. The output of this phase is a KB that stores medical facts about the patient. In the final phase, an OWL reasoner and clinical rules are used to infer additional facts about patient and generate a richer KB which can then be queried for a variety of clinical tasks. To demonstrate a proof of concept, we use discharge summaries from the cardiovascular domain to determine the TIMI Risk Score and San Francisco Syncope score for a patient.

Book A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care

Download or read book A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care written by Kamran Farooq and published by GRIN Verlag. This book was released on 2016-06-16 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2015 in the subject Computer Sciences - Artificial Intelligence, grade: -, University of Stirling (Computing Science and Mathematics), language: English, abstract: Clinical risk assessment of chronic illnesses is a challenging and complex task which requires the utilisation of standardised clinical practice guidelines and documentation procedures in order to ensure consistent and efficient patient care. Conventional cardiovascular decision support systems have significant limitations, which include the inflexibility to deal with complex clinical processes, hard-wired rigid architectures based on branching logic and the inability to deal with legacy patient data without significant software engineering work. In light of these challenges, we are proposing a novel ontology and machine learning-driven hybrid clinical decision support framework for cardiovascular preventative care. An ontology-inspired approach provides a foundation for information collection, knowledge acquisition and decision support capabilities and aims to develop context sensitive decision support solutions based on ontology engineering principles. The proposed framework incorporates an ontology-driven clinical risk assessment and recommendation system (ODCRARS) and a Machine Learning Driven Prognostic System (MLDPS), integrated as a complete system to provide a cardiovascular preventative care solution. The proposed clinical decision support framework has been developed under the close supervision of clinical domain experts from both UK and US hospitals and is capable of handling multiple cardiovascular diseases.

Book Clinical Decision Support Systems

Download or read book Clinical Decision Support Systems written by Eta S. Berner and published by Springer Science & Business Media. This book was released on 2007-04-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a resource book on clinical decision support systems for informatics specialists, a textbook for teachers or students in health informatics and a comprehensive introduction for clinicians. It has become obvious that, in addition to physicians, other health professionals have need of decision support. Therefore, the issues raised in this book apply to a broad range of clinicians. The book includes chapters written by internationally recognized experts on the design, evaluation and application of these systems, who examine the impact of computer-based diagnostic tools both from the practitioner’s perspective and that of the patient.

Book Ontology Driven Clinical Decision Support for Early Diagnostic Recommendations

Download or read book Ontology Driven Clinical Decision Support for Early Diagnostic Recommendations written by Gopikrishnan Mannamparambil Chandrasekharan and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Clinical Decision Support and Beyond

Download or read book Clinical Decision Support and Beyond written by Robert Greenes and published by Academic Press. This book was released on 2023-02-10 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, now in its third edition, discusses the underpinnings of effective, reliable, and easy-to-use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades; however its complexities, costs, and user resistance have lagged its potential. Thus it is of utmost importance to understand the process in detail, to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve health and wellness and the quality of health care. Presents an overview and details of the current state of the art and usefulness of clinical decision support, and how to utilize these capabilities Explores the technological underpinnings for developing, managing, and sharing knowledge resources and deploying them as CDS or for other uses Discusses the current drivers and opportunities that are expanding the prospects for use of knowledge to enhance health and healthcare

Book Clinical Decision Support Systems

Download or read book Clinical Decision Support Systems written by Eta S. Berner and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by nationally and internationally recognised experts on the design, evaluation and application of such systems, this book examines the impact of practitioner and patient use of computer-based diagnostic tools. It serves simultaneously as a resource book on diagnostic systems for informatics specialists; a textbook for teachers or students in health or medical informatics training programs; and as a comprehensive introduction for clinicians, with or without expertise in the applications of computers in medicine, who are interested in learning about current developments in computer-based diagnostic systems. Designed for a broad range of clinicians in need of decision support.

Book Improving Health Management through Clinical Decision Support Systems

Download or read book Improving Health Management through Clinical Decision Support Systems written by Moon, Jane D. and published by IGI Global. This book was released on 2015-09-25 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an effort to combat human error in the medical field, medical professionals continue to seek the best practices and technology applications for the diagnosis, treatment, and overall care of their patients. Improving Health Management through Clinical Decision Support Systems brings together a series of chapters focused on the technology, funding, and future plans for improved organization and decision-making through medical informatics. Featuring timely, research-based chapters on topics including, but not limited to, data management, information security, and the benefits of technology-based medicine, this publication is an essential reference source for clinicians, scientists, health economists, policymakers, academicians, researchers, advanced level students, and government officials interested in health information technology.

Book Ontology Based Information Retrieval for Healthcare 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 2020-07-29 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

Book Clinical Decision Support

Download or read book Clinical Decision Support written by Robert Greenes and published by Academic Press. This book was released on 2014-03-26 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: With at least 40% new or updated content since the last edition, Clinical Decision Support, 2nd Edition explores the crucial new motivating factors poised to accelerate Clinical Decision Support (CDS) adoption. This book is mostly focused on the US perspective because of initiatives driving EHR adoption, the articulation of 'meaningful use', and new policy attention in process including the Office of the National Coordinator for Health Information Technology (ONC) and the Center for Medicare and Medicaid Services (CMS). A few chapters focus on the broader international perspective. Clinical Decision Support, 2nd Edition explores the technology, sources of knowledge, evolution of successful forms of CDS, and organizational and policy perspectives surrounding CDS. Exploring a roadmap for CDS, with all its efficacy benefits including reduced errors, improved quality, and cost savings, as well as the still substantial roadblocks needed to be overcome by policy-makers, clinicians, and clinical informatics experts, the field is poised anew on the brink of broad adoption. Clinical Decision Support, 2nd Edition provides an updated and pragmatic view of the methodological processes and implementation considerations. This book also considers advanced technologies and architectures, standards, and cooperative activities needed on a societal basis for truly large-scale adoption. At least 40% updated, and seven new chapters since the previous edition, with the new and revised content focused on new opportunities and challenges for clinical decision support at point of care, given changes in science, technology, regulatory policy, and healthcare finance Informs healthcare leaders and planners, health IT system developers, healthcare IT organization leaders and staff, clinical informatics professionals and researchers, and clinicians with an interest in the role of technology in shaping healthcare of the future

Book The Development of Ontological Model for Clinical Decision Support System

Download or read book The Development of Ontological Model for Clinical Decision Support System written by Hongyang Wen and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Decision Support Systems (CDSS), for providing patient specific advice, can only be accepted in clinical practice if they can fit in a clinician workflow. This would require such a CDSS to have diversified support capabilities, to be mobile, and to have flexible functionality. Such a system can be designed and developed only in a modular fashion where the high level abstractions describe the logic among different system components. Ontology, which is a formal specification of shared conceptualization, can be used to create a high level abstraction. Such decoupling of abstract CDSS logic from low level implementation facilitates developing and adding new applications and increases the reusability of different system components. In this research it is argued that a developed CDSS, according to ontology driven design with the ontological model of a problem domain expanded by a clinical decision support requirements, allows the creation of a system that is aligned with clinical workflow. In this research the proposed approach is illustrated with the CDSS for triaging pediatric hip pain (HP) in the Emergency Department. This application (called MET-HP) is created within the MET (Mobile Emergency Triage) environment that implements the ontology driven design principles. MET-HP is a mobile CDSS that includes a decision model derived from the analysis of retrospective chart data and it facilitates early triage of a child using incomplete data. Keywords. Ontology; ontological model; ontology driven design; ontological engineering; clinical decision support system; data mining; knowledge model; knowledge based system.

Book McCracken s Removable Partial Prosthodontics   E Book

Download or read book McCracken s Removable Partial Prosthodontics E Book written by Alan B. Carr and published by Elsevier Health Sciences. This book was released on 2015-11-06 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The standard in prosthodontics for nearly 50 years, McCracken's Removable Partial Prosthodontics, 13th Edition walks readers through all the principles and concepts surrounding removable partial denture treatment planning and design that today’s practitioners need to know. Using an evidence-based approach, this full-color text incorporates the latest information on new techniques, procedures, and equipment, including expanded information on dynamic communication and the use of implants with removable partial dentures. From initial contact with the patient to post-treatment care, McCracken’s is the complete foundation today’s dentists need to successfully practice prosthodontic care. A variety of philosophies and techniques are featured throughout the text, so readers can select and incorporate applicable techniques on a case-by-case basis. Full-color drawings and photographs give readers a detailed view of techniques, materials, and anatomic detail. Evidence-based approach uses current research to help readers diagnose, design, develop, and sequence a treatment plan. Expert guidance from both authors walks readers through the latest techniques as well as technological advances specific to removable partial dentures. NEW! Standardized removable partial denture designs offered for application to the major categories of patients seen in practice. NEW! Expanded information on the use of implants with removable partial dentures highlights considerations in treatment planning including the selection of implants and provision of care utilizing dental implants. NEW! More information on dynamic communication which incorporates the progress being made in shared decision making with patients, especially regarding decisions made in light of patient values and ‘trade-off’ considerations.

Book Diverse Perspectives and State of the Art Approaches to the Utilization of Data Driven Clinical Decision Support Systems

Download or read book Diverse Perspectives and State of the Art Approaches to the Utilization of Data Driven Clinical Decision Support Systems written by Connolly, Thomas M. and published by IGI Global. This book was released on 2022-11-11 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.

Book Research Anthology on Decision Support Systems and Decision Management in Healthcare  Business  and Engineering

Download or read book Research Anthology on Decision Support Systems and Decision Management in Healthcare Business and Engineering written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-05-28 with total page 1538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.

Book Data and Knowledge for Medical Decision Support

Download or read book Data and Knowledge for Medical Decision Support written by B. Blobel and published by IOS Press. This book was released on 2013-04-04 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ensuring patient safety and providing high-quality health services are the dominant challenges faced by healthcare systems around the world today. The sharing of advanced knowledge and best practice in diagnosis, therapy, process optimization and prevention are essential to achieve this goal; this includes enhanced networking socially and technologically as well as the inclusion of public health and social sciences. This book contains the proceedings of the 13th European Federation for Medical Informatics (EFMI) Special Topic Conference (STC), held in Prague, Czech Republic, in April 2013. The EFMI STC 2013 is Europe’s leading forum for presenting the results of current scientific work in health informatics processes, systems and technologies this year. The title of this 13th conference is Data and Knowledge for Medical Decision Support, and the conference addresses this important field, linking traditional and translational medicine with natural sciences and technology with a view to the design, implementation and deployment of intelligent systems which will meet the expectations of developers and users such as health professionals and patients. Within this context, the authors included here address the important issues of knowledge representation and management, appropriate terminologies and ontologies, the development of reasoning engines, and the modeling and simulation of real systems for decision making. The hot topics of "Big Data" and "Analytics" also receive attention.

Book Building Decision Support Systems

Download or read book Building Decision Support Systems written by John L. Bennett and published by Addison Wesley Publishing Company. This book was released on 1983 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Ontology based  Interface driven Development of Clinical Data Management Systems

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 2016 with total page 0 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.

Book Data Integration in the Life Sciences

Download or read book Data Integration in the Life Sciences written by Sarah Cohen-Boulakia and published by Springer. This book was released on 2009-09-02 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Workshop on Data Integration in the Life Sciences, DILS 2007, held in Philadelphia, PA, USA in July 2007. It covers new architectures and experience on using systems, managing and designing scientific workflows, mapping and matching techniques, modeling of life science data, and annotation in data integration.