Clinical Decision Support Systems

In this chapter we have reviewed a number of hospitalbased applications that
provide medical decision support. These applications can be categorized in a
variety of different ways. We have found it profitable to think of these systems in
terms ...

Clinical Decision Support Systems

Author: Eta S. Berner

Publisher: Springer Science & Business Media

ISBN: 1475739036

Page: 265

View: 777

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.

Optimizing Strategies for Clinical Decision Support

Optimizing Strategies for Clinical Decision Support: Summary of Meeting Series identifies the need for a continuously learning health system driven by the seamless and rapid generation, processing, and practical application of the best ...

Optimizing Strategies for Clinical Decision Support

Author: James E. Tcheng

Publisher:

ISBN: 9781947103085

Page: 96

View: 120

The result of a collaboration between the National Academy of Medicine (NAM) and the Office of the National Coordinator for Health Information Technology, this NAM Special Publication summarizes and builds upon a meeting series in which a multistakeholder group of experts discussed the potential of clinical decision support (CDS) to transform care delivery by ameliorating the burden that expanding clinical knowledge and care and choice complexity place on the finite time and attention of clinicians, patients, and members of the care team. This summary also includes highlights from discussions about addressing the barriers to realizing the full benefits of CDS-facilitated value improvement. Optimizing Strategies for Clinical Decision Support: Summary of Meeting Series identifies the need for a continuously learning health system driven by the seamless and rapid generation, processing, and practical application of the best available evidence for clinical decision-making, and lays out a series of actionable, collaborative next steps to optimize strategies for adoption and use of clinical decision support.

Medical Content Based Retrieval for Clinical Decision Support

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form.

Medical Content Based Retrieval for Clinical Decision Support

Author: Barbara Caputo

Publisher: Springer Science & Business Media

ISBN: 3642117686

Page: 119

View: 480

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available.

Clinical Decision Support

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 ...

Clinical Decision Support

Author: Robert A. Greenes

Publisher: Academic Press

ISBN: 0128005424

Page: 930

View: 282

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

Knowledge Bases for Clinical Decision Support in Drug Prescribing Development Quality Assurance Management Integration Implementation and Evaluation of Clinical Value

Knowledge Bases for Clinical Decision Support in Drug Prescribing - Development, Quality Assurance, Management, Integration, Implementation and Evaluation of Clinical Value.

Knowledge Bases for Clinical Decision Support in Drug Prescribing   Development  Quality Assurance  Management  Integration  Implementation and Evaluation of Clinical Value

Author: Birgit Eiermann

Publisher:

ISBN:

Page:

View: 810

Knowledge Bases for Clinical Decision Support in Drug Prescribing - Development, Quality Assurance, Management, Integration, Implementation and Evaluation of Clinical Value.

Improving Health Management Through Clinical Decision Support Systems

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.

Improving Health Management Through Clinical Decision Support Systems

Author: Jane D Moon

Publisher:

ISBN: 9781466694323

Page: 446

View: 492

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.

Medical Content Based Retrieval for Clinical Decision Support

The variation in these local patches can be effectively modeled as visual
keywords by using supervised learning based classification techniques, such as
the support vector machine (SVM) [8]. In its basic formulation,. Fig. 3. Sample
Chest ...

Medical Content Based Retrieval for Clinical Decision Support

Author: Henning Mueller

Publisher: Springer Science & Business Media

ISBN: 3642284590

Page: 153

View: 335

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.

Medical Content Based Retrieval for Clinical Decision Support

This document contains articles from the Third Workshop on Medical
ContentBased Retrieval for Clinical Decision Support (MCBR-CDS) that took
place at the MICCAI (Medical Image Computing for Computer Assisted
Intervention) 2012 ...

Medical Content Based Retrieval for Clinical Decision Support

Author: Hayit Greenspan

Publisher: Springer

ISBN: 3642366783

Page: 145

View: 546

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.

5210 Pediatric Obesity Clinical Decision Support Chart

New in the 3rd Edition A custom, hand-based portion size estimation tool A "sample meal options" checklist In-office assessment of habits tool An algorithm for the assessment and management of childhood obesity in patients 2 years and older ...

5210 Pediatric Obesity Clinical Decision Support Chart

Author: American Academy of Pediatrics Section on Obesity

Publisher:

ISBN: 9781610023542

Page: 36

View: 442

Obtain the latest tools and practice recommendations from leading experts on how to tackle childhood obesity. Completely revised and updated, the third edition provides clinicians with point-of-care guidance on the assessment, prevention, and treatment of obesity for children older than 2 years. The convenient flip chart includes full-color illustrations throughout providing health care professionals practical support and guidance to help improve care and outcomes for youth who are overweight. New in the 3rd Edition A custom, hand-based portion size estimation tool A "sample meal options" checklist In-office assessment of habits tool An algorithm for the assessment and management of childhood obesity in patients 2 years and older Pharmacological treatment of hypertension A sample "portion control placemat" Key Features Step-by-step prevention, assessment, and treatment interventions for the overweight and obese child developed by the CDC 15-minute obesity prevention/intervention protocol Hypertension evaluation and management guidelines Growth charts spanning birth to age 20 years, including body mass index-for-age percentiles Coding information for obesity-related health services (ICD-10 codes) Next Steps child weight reduction and management strategies

Reinventing Clinical Decision Support

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 ...

Reinventing Clinical Decision Support

Author: Paul Cerrato

Publisher: HIMSS Book Series

ISBN: 9780367186234

Page: 184

View: 438

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.

Real Time Clinical Decision Support Decreases Inappropriate Plasma Transfusion

Methods The alert was suppressed for massive transfusion and within operative or apheresis settings. The plasma order was automatically removed upon alert acceptance while clinical exception reasons allowed for continued transfusion.

Real Time Clinical Decision Support Decreases Inappropriate Plasma Transfusion

Author:

Publisher:

ISBN:

Page:

View: 270

Abstract Objectives To curtail inappropriate plasma transfusions, we instituted clinical decision support as an alert upon order entry if the patient’s recent international normalized ratio (INR) was 1.7 or less. Methods The alert was suppressed for massive transfusion and within operative or apheresis settings. The plasma order was automatically removed upon alert acceptance while clinical exception reasons allowed for continued transfusion. Alert impact was studied comparing a 7-month control period with a 4-month intervention period. Results Monthly plasma utilization decreased 17.4%, from a mean ± SD of 3.40 ± 0.48 to 2.82 ± 0.6 plasma units per hundred patient days (95% confidence interval [CI] of difference, –0.1 to 1.3). Plasma transfused below an INR of 1.7 or less decreased from 47.6% to 41.6% (P = .0002; odds ratio, 0.78; 95% CI, 0.69-0.89). The alert recommendation was accepted 33% of the time while clinical exceptions were chosen in the remaining cases (active bleeding, 31%; other clinical indication, 33%; and apheresis, 2%). Alert acceptance rate varied significantly among different provider specialties. Conclusions Clinical decision support can help curtail inappropriate plasma use but needs to be part of a comprehensive strategy including audit and feedback for comprehensive, long-term changes.

Clinical Decision Support for Screening Diagnosis and Assessment of Respiratory Diseases

In this thesis we propose a framework for designing, developing, a clinical decision support systems (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), and then ...

Clinical Decision Support for Screening  Diagnosis and Assessment of Respiratory Diseases

Author: Filip Velickovski

Publisher:

ISBN:

Page: 117

View: 265

In this thesis we propose a framework for designing, developing, a clinical decision support systems (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), and then demonstrate how these services can be integrated into the work-flow of healthcare providers. Furthermore, we focus on supporting spirometry, one of the main diagnostic tools in respiratory disease assessment. We present two methods to offer decision support in assuring the quality of a spirometry test that can be easily embedded into the CDSS framework. The first method is a novel algorithm that relies on a set of rules operating on 23 new parameters to define a high quality test. The second is a machine-learning approach, where we optimise the distinction between a good quality spirometry test and a poor one using a set of supervised-learning classifiers and hyper-parameters.

Medical Device Data and Modeling for Clinical Decision Making

The use of modeling to support clinical decision making and assisting the
clinician at the bedside are also discussed. The chapter also includes computer
program code examples with which the reader can replicate and extend his or
her own ...

Medical Device Data and Modeling for Clinical Decision Making

Author: John R. Zaleski

Publisher: Artech House

ISBN: 1608070956

Page: 356

View: 164

This cutting-edge volume is the first book that provides you with practical guidance on the use of medical device data for bioinformatics modeling purposes. You learn how to develop original methods for communicating with medical devices within healthcare enterprises and assisting with bedside clinical decision making. The book guides in the implementation and use of clinical decision support methods within the context of electronic health records in the hospital environment.This highly valuable reference also teaches budding biomedical engineers and bioinformaticists the practical benefits of using medical device data. Supported with over 100 illustrations, this all-in-one resource discusses key concepts in detail and then presents clear implementation examples to give you a complete understanding of how to use this knowledge in the field.