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Author: Darline Foltz
Publisher:
ISBN: 9780763881306
Category : Medical records
Languages : en
Pages : 435
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Book Description
Author: Darline Foltz
Publisher:
ISBN: 9780763881306
Category : Medical records
Languages : en
Pages : 435
Get Book Here
Book Description
Author: Margret Amatayakul
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 452
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Book Description
"This book discusses the elements of EHR implementation in a clear, chronological format from planning to execution. Along the way, readers receive a solid background in EHR history, trends, and common pitfalls and gain the skills they will need for a successful implementation."
Author: Richard Gartee
Publisher: Prentice Hall
ISBN: 9780134257501
Category : Medical records
Languages : en
Pages : 0
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Book Description
Resource added for the Health Information Technology program 105301.
Author: Sharona Hoffman
Publisher: Cambridge University Press
ISBN: 1316738906
Category : Law
Languages : en
Pages :
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Book Description
This book helps readers gain an in-depth understanding of electronic health record (EHR) systems, medical big data, and the regulations that govern them. It analyzes both the shortcomings and benefits of EHR systems, exploring the law's response to the creation of these systems, highlighting gaps in the current legal framework, and developing detailed recommendations for regulatory, policy, and technological improvements. Electronic Health Records and Medical Big Data addresses not only privacy and security concerns but also other important challenges, such as those related to data quality and data analysis. In addition, the author formulates a large body of recommendations to improve the technology's safety, security, and efficacy for both clinical and secondary (such as research) uses of medical data.
Author: Pradeep K. Sinha
Publisher: John Wiley & Sons
ISBN: 1118479661
Category : Computers
Languages : en
Pages : 244
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Book Description
Discover How Electronic Health Records Are Built to Drive the Next Generation of Healthcare Delivery The increased role of IT in the healthcare sector has led to the coining of a new phrase "health informatics," which deals with the use of IT for better healthcare services. Health informatics applications often involve maintaining the health records of individuals, in digital form, which is referred to as an Electronic Health Record (EHR). Building and implementing an EHR infrastructure requires an understanding of healthcare standards, coding systems, and frameworks. This book provides an overview of different health informatics resources and artifacts that underlie the design and development of interoperable healthcare systems and applications. Electronic Health Record: Standards, Coding Systems, Frameworks, and Infrastructures compiles, for the first time, study and analysis results that EHR professionals previously had to gather from multiple sources. It benefits readers by giving them an understanding of what roles a particular healthcare standard, code, or framework plays in EHR design and overall IT-enabled healthcare services along with the issues involved. This book on Electronic Health Record: Offers the most comprehensive coverage of available EHR Standards including ISO, European Union Standards, and national initiatives by Sweden, the Netherlands, Canada, Australia, and many others Provides assessment of existing standards Includes a glossary of frequently used terms in the area of EHR Contains numerous diagrams and illustrations to facilitate comprehension Discusses security and reliability of data
Author: MIT Critical Data
Publisher: Springer
ISBN: 3319437429
Category : Medical
Languages : en
Pages : 435
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Book Description
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: Hulin Wu
Publisher: CRC Press
ISBN: 1000260941
Category : Business & Economics
Languages : en
Pages : 329
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Book Description
The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to how they are collected, processed and types of questions that can be answered. This book covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and predictions based on many years of practical experience of the authors. The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data. Key Features: Written based on hands-on experience of contributors from multidisciplinary EHR research projects, which include methods and approaches from statistics, computing, informatics, data science and clinical/epidemiological domains. Documents the detailed experience on EHR data extraction, cleaning and preparation Provides a broad view of statistical approaches and machine learning prediction models to deal with the challenges and limitations of EHR data. Considers the complete cycle of EHR data analysis. The use of EHR/EMR analysis requires close collaborations between statisticians, informaticians, data scientists and clinical/epidemiological investigators. This book reflects that multidisciplinary perspective.
Author: Margret Amatayakul
Publisher: Ahima
ISBN: 9781584260035
Category : Medical
Languages : en
Pages : 687
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Book Description
Revised and updated to include the latest trends and applications in electronic health records, this fifth edition of Electronic Health Records: A Practical Guide for Professionals and Organizations offers step-by-step guidelines for developing and implementing EHR strategies for healthcare organizations. New to This Edition: 2013 Update Addresses the expanded interaction among HIM professionals and system users, IT professionals, vendors, patients and their family, and others. Additions and updates include: Meaningful use (MU) definitions, objectives, standards, and measures Digital appendix on meaningful use stages ONC EHR certification programs Vision for health reform and enhanced HIPAA administrative simplification requirements under ACA Workflow, thoughtflow, and process management Strategies for managing e-discovery and the legal health record in an EHR environment Tools for cost-benefit analysis and benefits realization for EHR Update on hospital resources for core EHR components, medical device integration, and beyond Update on physician practice resources Final Rule update on ARRA/HITECH privacy and security guidelines Update on risk analysis and medical identity theft Practical uses of SNOMED-encoded data Expanded coverage on HIE, PHRs, and consumer empowerment New chapter on specialty-specific EHRs New and expanded downloadable resources Instructor access to online EHR simulation modules
Author: Richard Gartee
Publisher: Pearson Higher Ed
ISBN: 0133073351
Category : Medical
Languages : en
Pages : 577
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Book Description
ELECTRONIC HEALTH RECORDS: UNDERSTANDING AND USING COMPUTERIZED MEDICAL RECORDS, 2/e is the complete “learn by doing” text for everyone who must use an electronic health records system, including doctors, nurses, medical assistants, physician assistants, and other medical office staff. It provides a thorough understanding of EHR tasks and functional benefits that is continuously reinforced by actual EHR experiences. Updated to reflect the latest EHR rules, regulations, and innovations, this new edition also contains 50% more hands-on guided and critical thinking exercises utilizing real EHR software. Improvements also include a full chapter on electronic orders and results; new workflow examples; shorter chapters that more easily accommodate 12-week courses; and a revised, clarified discussion of E&M billing codes. Visit this demo link to learn more about this product and how to use it: http://www.pearsonhighered.com/garteedemo/
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
ISBN: 1587634333
Category : Medical
Languages : en
Pages : 385
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Book Description
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.
