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The quick and easy way to master healthcare technologyand use your knowledge in real-world situations If you're looking for a fun, fast review that boils healthcare informatics down to its most essential, must-know points, your search ends here! HealthcareInformatics Demystified is a complete yet concise overview of today's healthcare information technology.This guide introduces you to topics such as computerphysician order entry (CPOE), electronic medicationadministration records (eMARs), decision support systems, and more. You will learn how to maintain electronic medical records (EMRs), use telemedicine to coordinate healthcare management, and safeguard a patient's privacy during treatment. Studying is easy and effective with key objectives,important terms, brief overviews, tables and diagrams, and NCLEX-style questions throughout the book. At the end is a comprehensive final exam that covers all the content found in Healthcare Informatics Demystified. This fast and easy guide features: Clear learning objectives and key terms to keep you on track A time-saving approach to performing better on an exam or at work Chapter review questions and final exam at the end of the book Topics presented in a build-on-whatyou- learn approach Glossary of key terms Simple enough for a student but comprehensive enough for a professional, Healthcare Informatics DeMYSTiFieD is your shortcut to mastering the basics oftoday’s healthcare technology.
Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
The ability to interface patient monitors directly to a computer, and generate a clinical record has existed for over 20 years. However, the acceptance of comprehensive electronic medical records in anesthesia has been slow to develop. Experts anticipate this reluctance is changing because of enhanced patient care through the use of detailed health information record systems. Anesthesia Informatics provides the health informatician and administrator with a comprehensive overview of this blossoming technology. With contributions from leaders in the field, this user-friendly guide addresses how this technology has enhanced both the need for and the ability to collect and apply data in an acute care setting. It also offers invaluable insight on the business implications and the rationales required to make a purchase decision. Each section outlines need to know information to help the reader with the implementation and utilization of an Anesthesia Information Management System. Useful case scenarios focus on the ideal components (anesthesia record, business rationale, communication, collaboration, and training) of a fully automated record-keeping system.
Find out what it takes to MOVE into MANAGEMENT Are you looking to take your nursing career to the next level but don't know where to begin? Nurse Management Demystified is the perfect starting point. You'll find it's an effective and enlightening way to find out what it really takes to succeed in this challenging profession. First, you'll learn about nursing care delivery models, staffing, delegation, and supervision. Next, you'll cover communication and conflict resolution, legal issues, healthcare economics, budgeting, and financial management. Other topics covered include unions, nursing informatics, and time and risk management. Featuring end-of-chapter quizzes, this book will give you a thorough overview of the field of nurse management in no time at all. This easy-to-follow guide gives you: An inside look at the many responsibilities of a nurse manager Tips for applying the techniques in the book in real-life clinical situations A quiz at the end of each chapter to reinforce learning and pinpoint weaknesses A time-saving approach to performing better on an exam or at work! Approachable enough for a beginner, but informative enough for a pro, Nurse Management Demystified is your shortcut to finding out all about this demanding yet rewarding healthcare career.
Unlock the world of STEM with "STEM Demystified: A Comprehensive Guide to Essential Terms." Dive into fundamental concepts from Acceleration to Zoology, providing clarity on complex topics in science, technology, engineering, and mathematics. Perfect for students, educators, and enthusiasts seeking a deeper understanding of STEM disciplines.
With the same clarity that made the previous edition a bestseller, Healthcare Delivery in the U.S.A.: An Introduction, Second Edition provides readers with the understanding required to navigate the healthcare provider field. Brilliantly simple, yet comprehensive, this updated edition explains how recent health care reform will impact hospitals and health systems. It includes updated case studies and describes the new organizational structures being driven by current market conditions. Focusing on healthcare management, the book addresses the range of topics critical to understanding the U.S. healthcare system, including the quality of care movement, recent finance reform, and the recent increase in merger and acquisition activity. Dr. Schulte walks readers through the history of the development of U.S. healthcare delivery. She describes the various venues of care delivery as well as the different elements of the financing system. Offering a glimpse into the global market and medical tourism, the text includes coverage of legal and regulatory issues, workforce, and the drivers and barriers that are shaping healthcare delivery around the world. Painting a clear and up-to-date picture, this quick-and-easy read provides you with the understanding of the terminology, structures, roles, relationships, and nuances needed to interact effectively and efficiently with anyone in the healthcare provider field.
Awarded second place in the 2017 AJN Book of the Year Awards in the Information Technology category. See how information technology intersects with health care! Health Informatics: An Interprofessional Approach, 2nd Edition prepares you for success in today’s technology-filled healthcare practice. Concise coverage includes information systems and applications such as electronic health records, clinical decision support, telehealth, ePatients, and social media tools, as well as system implementation. New to this edition are topics including data science and analytics, mHealth, principles of project management, and contract negotiations. Written by expert informatics educators Ramona Nelson and Nancy Staggers, this edition enhances the book that won a 2013 American Journal of Nursing Book of the Year award! Experts from a wide range of health disciplines cover the latest on the interprofessional aspects of informatics — a key Quality and Safety Education for Nurses (QSEN) initiative and a growing specialty area in nursing. Case studies encourage higher-level thinking about how concepts apply to real-world nursing practice. Discussion questions challenge you to think critically and to visualize the future of health informatics. Objectives, key terms and an abstract at the beginning of each chapter provide an overview of what you will learn. Conclusion and Future Directions section at the end of each chapter describes how informatics will continue to evolve as healthcare moves to an interprofessional foundation. NEW! Updated chapters reflect the current and evolving practice of health informatics, using real-life healthcare examples to show how informatics applies to a wide range of topics and issues. NEW mHealth chapter discusses the use of mobile technology, a new method of health delivery — especially for urban or under-served populations — and describes the changing levels of responsibility for both patients and providers. NEW Data Science and Analytics in Healthcare chapter shows how Big Data — as well as analytics using data mining and knowledge discovery techniques — applies to healthcare. NEW Project Management Principles chapter discusses proven project management tools and techniques for coordinating all types of health informatics-related projects. NEW Contract Negotiations chapter describes strategic methods and tips for negotiating a contract with a healthcare IT vendor. NEW Legal Issues chapter explains how federal regulations and accreditation processes may impact the practice of health informatics. NEW HITECH Act chapter explains the regulations relating to health informatics in the Health Information Technology for Education and Clinical Health Act as well as the Meaningful Use and Medicare Access & CHIP Reauthorization Act of 2015.
This book summarises the achievements of the Multi-TALE project, that aims at developing a syntactic-semantic tagger-lemmatiser that assist lexicolo-gist in a multilingual environment to automatically classify specialised terms in a standardisation perspective. Its intended audience consists of (mainly) two distinct groups: on the one hand the computational linguists, who are sometimes desperately seeking an appropriate application involving real life data for their implemented prototypes, and on the other hand medical E.D.P. managers (doctors or computer scientists), who are sometimes looking equally desperately for methods that would facilitate their information retrieval and knowledge processing tasks. Therefore, this book contains a concise introduction to the relevant linguistic and medical topics required for an overall comprehension of its other parts. Inevita-bly, some notions are already well known by one group of readers but completely new to the other group. We have aimed at striking a good balance so that no reader becomes rapidly bored or discouraged.
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.