Author : Cecily Morrison
Publisher : Cambridge University Press
Page : 191 pages
File Size : 37,40 MB
Release : 2013-10-10
Category : Medical
ISBN : 0521156742
Concise handbook discussing benefits and pitfalls of clinical information systems in the ICU, offering advice for local implementation and problem-solving.
Author : Fang Gao Smith
Publisher : Cambridge University Press
Page : 409 pages
File Size : 45,61 MB
Release : 2010-04-22
Category : Medical
ISBN : 1139489682
The critical care unit manages patients with a vast range of disease and injuries affecting every organ system. The unit can initially be a daunting environment, with complex monitoring equipment producing large volumes of clinical data. Core Topics in Critical Care Medicine is a practical, comprehensive, introductory-level text for any clinician in their first few months in the critical care unit. It guides clinicians in both the initial assessment and the clinical management of all CCU patients, demystifying the critical care unit and providing key knowledge in a concise and accessible manner. The full spectrum of disorders likely to be encountered in critical care are discussed, with additional chapters on transfer and admission, imaging in the CCU, structure and organisation of the unit, and ethical and legal issues. Written by Critical Care experts, Core Topics in Critical Care Medicine provides comprehensive, concise and easily accessible information for all trainees.
Author : Pieter Kubben
Publisher : Springer
Page : 219 pages
File Size : 12,19 MB
Release : 2018-12-21
Category : Medical
ISBN : 3319997130
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.
Author : Agency for Healthcare Research and Quality/AHRQ
Publisher : Government Printing Office
Page : 385 pages
File Size : 24,75 MB
Release : 2014-04-01
Category : Medical
ISBN : 1587634333
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author : Institute of Medicine
Publisher : National Academies Press
Page : 36 pages
File Size : 30,65 MB
Release : 2003-07-31
Category : Medical
ISBN : 0309185432
Commissioned by the Department of Health and Human Services, Key Capabilities of an Electronic Health Record System provides guidance on the most significant care delivery-related capabilities of electronic health record (EHR) systems. There is a great deal of interest in both the public and private sectors in encouraging all health care providers to migrate from paper-based health records to a system that stores health information electronically and employs computer-aided decision support systems. In part, this interest is due to a growing recognition that a stronger information technology infrastructure is integral to addressing national concerns such as the need to improve the safety and the quality of health care, rising health care costs, and matters of homeland security related to the health sector. Key Capabilities of an Electronic Health Record System provides a set of basic functionalities that an EHR system must employ to promote patient safety, including detailed patient data (e.g., diagnoses, allergies, laboratory results), as well as decision-support capabilities (e.g., the ability to alert providers to potential drug-drug interactions). The book examines care delivery functions, such as database management and the use of health care data standards to better advance the safety, quality, and efficiency of health care in the United States.
Author : MIT Critical Data
Publisher : Springer
Page : 435 pages
File Size : 12,57 MB
Release : 2016-09-09
Category : Medical
ISBN : 3319437429
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Author : Peter Mccaffrey
Publisher : Academic Press
Page : 342 pages
File Size : 20,94 MB
Release : 2020-07-29
Category : Medical
ISBN : 0128149167
An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and cutting edge technologies in data science, cloud infrastructure, application development and even artificial intelligence. Information technology encompasses several rapidly evolving areas, however healthcare as a field suffers from a relatively archaic technology landscape and a lack of curriculum to effectively train its millions of practitioners in the skills they need to utilize data and related tools. The book discusses topics such as data access, data analysis, big data current landscape and application architecture. Additionally, it encompasses a discussion on the future developments in the field. This book provides physicians, nurses and health scientists with the concepts and skills necessary to work with analysts and IT professionals and even perform analysis and application architecture themselves. - Presents case-based learning relevant to healthcare, bringing each concept accompanied by an example which becomes critical when explaining the function of SQL, databases, basic models etc. - Provides a roadmap for implementing modern technologies and design patters in a healthcare setting, helping the reader to understand both the archaic enterprise systems that often exist in hospitals as well as emerging tools and how they can be used together - Explains healthcare-specific stakeholders and the management of analytical projects within healthcare, allowing healthcare practitioners to successfully navigate the political and bureaucratic challenges to implementation - Brings diagrams for each example and technology describing how they operate individually as well as how they fit into a larger reference architecture built upon throughout the book
Author : Leanne Aitken
Publisher : Elsevier Health Sciences
Page : 1051 pages
File Size : 36,88 MB
Release : 2016-01-04
Category : Medical
ISBN : 0729542009
With each edition, ACCCN's Critical Care Nursing has built on its highly respected reputation. Its contributors aim to encourage and challenge practising critical care nurses and students to develop world-class critical care nursing skills in order to ensure delivery of the highest quality care. Endorsed by the Australian College of Critical Care Nurses (ACCCN), this 3rd edition presents the expertise of foremost critical care leaders and features the most recent evidence-based research and up-to-date advances in clinical practice, technology, procedures and standards. Expanded to reflect the universal core elements of critical care nursing practice authors, Aitken, Marshall and Chaboyer, have retained the specific information that captures the unique elements of contemporary critical care nursing in Australia, New Zealand and other similar practice environments. Structured in three sections, ACCCN's Critical Care Nursing, 3rd Edition addresses all aspects of critical care nursing, including patient care and organisational issues, while highlighting some of the unique and complex aspects of specialty critical care nursing practice, such as paediatric considerations, trauma management and organ donation. Presented in three sections: - Scope of Critical Care - Principles and Practice of Critical Care - Speciality Practice Focus on concepts that underpin practice - essential physical, psychological, social and cultural care New case studies elaborate on relevant care topics Research vignettes explore a range of topics Practice tips highlight areas of care particularly relevant to daily clinical practice Learning activities support knowledge, reflective learning and understanding Additional case studies with answers available on evolve NEW chapter on Postanaesthesia recovery Revised coverage of metabolic and nutritional considerations for the critically ill patient Aligned with the NEW ACCCN Standards for Practice
Author : National Academy of Engineering
Publisher : National Academies Press
Page : 340 pages
File Size : 16,40 MB
Release : 2011-07-14
Category : Medical
ISBN : 0309120640
Improving our nation's healthcare system is a challenge which, because of its scale and complexity, requires a creative approach and input from many different fields of expertise. Lessons from engineering have the potential to improve both the efficiency and quality of healthcare delivery. The fundamental notion of a high-performing healthcare system-one that increasingly is more effective, more efficient, safer, and higher quality-is rooted in continuous improvement principles that medicine shares with engineering. As part of its Learning Health System series of workshops, the Institute of Medicine's Roundtable on Value and Science-Driven Health Care and the National Academy of Engineering, hosted a workshop on lessons from systems and operations engineering that could be applied to health care. Building on previous work done in this area the workshop convened leading engineering practitioners, health professionals, and scholars to explore how the field might learn from and apply systems engineering principles in the design of a learning healthcare system. Engineering a Learning Healthcare System: A Look at the Future: Workshop Summary focuses on current major healthcare system challenges and what the field of engineering has to offer in the redesign of the system toward a learning healthcare system.
Author : Michael M. Wagner
Publisher : Elsevier
Page : 621 pages
File Size : 46,46 MB
Release : 2011-04-28
Category : Science
ISBN : 0080459994
Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in practices of infection control and public health surveillance. - Reviews the current mathematical, statistical, and computer science systems for early detection of disease outbreaks - Provides extensive coverage of existing surveillance data - Discusses experimental methods for data measurement and evaluation - Addresses engineering and practical implementation of effective early detection systems - Includes real case studies
