Download or read book Information Retrieval for Clinical Decision Support written by Adam Rhine and published by . This book was released on 2017 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the field of clinical support, access to relevant, peer-reviewed information from medical journals and other research publications is critical to making informed decisions regarding the diagnosis and care of patients. This study aims to build a complete biomedical information retrieval system, based on the data released by the National Institute of Standards and Technology for Text REtrieval Conference Clinical Decision Support track. Through the use of query expansion, machine-learning classification, a vector space model with tf-idf ranking implementation, along with additional specialized preprocessing data transformation and post-processing scoring techniques, we constructed an IR system competitive with the state of the art for this specific retrieval task, and demonstrated our success through the use of standardized evaluation metrics.

Download or read book Medical Content Based Retrieval for Clinical Decision Support written by Hayit Greenspan and published by Springer. This book was released on 2013-02-20 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.

Download or read book Medical Content Based Retrieval for Clinical Decision Support written by Henning Müller and published by Springer. This book was released on 2010-02-04 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben and published by Springer. This book was released on 2018-12-21 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Download or read book Medical Content Based Retrieval for Clinical Decision Support written by Henning Mueller and published by Springer. This book was released on 2012-02-21 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.

Download or read book Guide to Health Informatics written by Enrico Coiera and published by CRC Press. This book was released on 2015-03-06 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential text provides a readable yet sophisticated overview of the basic concepts of information technologies as they apply in healthcare. Spanning areas as diverse as the electronic medical record, searching, protocols, and communications as well as the Internet, Enrico Coiera has succeeded in making this vast and complex area accessible and understandable to the non-specialist, while providing everything that students of medical informatics need to know to accompany their course.

Download or read book Exploring Information Retrieval Approaches for Clinical Decision Support and Biomedical Search Tasks written by Mohammad Reshood Alsulmi and published by . This book was released on 2018 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health care practitioners seek out relevant information about providing the best possible care for their patients. Relevant information to those practitioners can vary between finding potential diagnoses, suggesting related lab tests, and determining treatments for a given patient. The role of a clinical search system, relying on information retrieval (IR), is to exploit the enormous volume of publications in the biomedical literature and make them efficiently accessible to those practitioners. In this thesis, we propose to develop several approaches which can improve the effectiveness of search results produced by clinical search systems. Our approaches can help in minimizing the overhead of manual settings in current search approaches and reduce the complexity of search tasks performed by physicians. ☐ We propose to design a clinical search system that extends traditional search strategies by incorporating relevant biomedical domain resources. In our system, we will rely on some essential retrieval models (e.g., Divergence From Randomness, Pseudo-Relevance Feedback) and some text reformulation tasks that are based on domain-specific knowledge (e.g., Unified Medical Language System, Medical Subject Headings) in order to improve our search strategy. Moreover, we show that our system can be further enhanced when using simulated user models in evaluating the relevance of medical concepts appearing in clinical search queries. ☐ Lastly, we study the usefulness of adopting learning to rank (LtR) framework for clinical search tasks. We propose a methodology for evaluating several LtR models which includes relying on a diverse set of training features as well as some feature selection techniques and show how this method can lead to learning effective ranking models for clinical search.

Download or read book Medical Content Based Retrieval for Clinical Decision Support written by Barbara Caputo and published by Springer Science & Business Media. This book was released on 2010-02-15 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Download or read book Medical Content Based Retrieval for Clinical Decision Support written by Henning Mueller and published by Springer Science & Business Media. This book was released on 2012-03 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.

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

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

Download or read book Clinical Decision Support written by Robert Greenes and published by Elsevier. This book was released on 2011-04-28 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.

Download or read book Understanding Information Retrieval Systems written by Marcia J. Bates and published by CRC Press. This book was released on 2011-12-20 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 typ

Download or read book Enabling Health Care Decisionmaking Through Clinical Decision Support and Knowledge Management written by U. S. Department of Health and Human Services and published by Createspace Independent Pub. This book was released on 2013-04-16 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efforts to improve the quality and value of health care increasingly emphasize a critical role for the meaningful use of clinical decision support systems (CDSSs) and electronic knowledge management systems (KMSs). For the purpose of this review, a clinical decision support system is defined as “any electronic system designed to aid directly in clinical decisionmaking, in which characteristics of individual patients are used to generate patient-specific assessments or recommendations that are then presented to clinicians for consideration.” Examples of electronic CDSSs include alerts, reminders, order sets, drug-dosage calculations, and care-summary dashboards that provide performance feedback on quality indicators or benchmarks. In contrast, a knowledge management system is defined as a tool that selectively provides information relevant to the characteristics or circumstances of a clinical situation but which requires human interpretation for direct application to a specific patient. Examples of electronic KMSs include information retrieval tools and knowledge resources that consist of distilled primary literature on evidence-based practices. An information retrieval tool is defined as an electronic tool designed to aid clinicians in the search and retrieval of context-specific knowledge from information sources based on patient-specific information from a clinical information system to facilitate decisionmaking at the point of care of for a specific care situation. A knowledge resource is defined as an electronic resource comprising distilled primary literature that allows selection of content that is germane to a specific patient to facilitate decisionmaking at the point of care or for a specific care situation. The objective of a CDSS is to apply clinical knowledge in the context of patient-specific information to aid clinicians in the process of making decisions. Electronic KMSs can further support decisionmaking in any care situation by providing a range of strategies and resources to create, represent, and distribute knowledge for application by a human in clinical practice. As a form of health information technology, CDSSs and KMSs can serve as information tools to align clinician decisionmaking with best practice guidelines and evidence-based medical knowledge at the point of care as well as assist with information management to support clinicians' decisionmaking abilities. This evidence report is part of a three-report series focusing on the strategic goals of the Agency for Healthcare Research and Quality's (AHRQ's) health information technology portfolio. This report specifically explores facilitating health care decisionmaking through health information technology. Supporting health care decisionmaking is a core element of the meaningful use criteria for EHRs. As the expected level of sophistication of EHRs increases in the evolving definitions of meaningful use, the need for more sophisticated CDSSs/KMSs is imperative, as is the need for better operational use of these systems. This increasing importance of CDSSs/KMSs acknowledges that EHRs alone are not an end but are instead a tool to augment the delivery of safe, evidence-based, high-quality health care through more consistent and sound decisionmaking. The goals of this report were to summarize the available evidence related to CDSSs and KMSs, highlight the limitations of the evidence, and identify areas for future research. The key questions considered in this review were: KQ 1: What evidence-based study designs have been used to determine the clinical effectiveness of electronic knowledge management and CDSSs? KQ 2: What contextual factors/features influence the effectiveness or success of electronic knowledge management and CDSSs? KQ 3: What is the impact of introducing electronic knowledge management and CDSSs? KQ 4: What generalizable knowledge can be integrated into electronic knowledge management and CDSSs to improve health care quality?

Download or read book Reinventing Clinical Decision Support written by Paul Cerrato and published by Taylor & Francis. This book was released on 2020-01-06 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

Download or read book Medical Content based Retrieval for Clinical Decision Support written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

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