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Author: Cerrito, Patricia
Publisher: IGI Global
Published: 2010-02-28
Total Pages: 463
ISBN-13: 1615207244
DOWNLOAD EBOOK"Because so much data is now becoming readily available to investigate health outcomes, it is important to examine just how statistical models are used to do this. This book studies health outcomes research using data mining techniques"--Provided by publisher.
Author: Ronny S. Mans
Publisher: Springer
Published: 2015-03-12
Total Pages: 99
ISBN-13: 3319160710
DOWNLOAD EBOOKWhat are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
Published: 2014-04-01
Total Pages: 385
ISBN-13: 1587634333
DOWNLOAD EBOOKThis 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: Cerrito, Patricia
Publisher: IGI Global
Published: 2010-06-30
Total Pages: 370
ISBN-13: 1615209069
DOWNLOAD EBOOK"This book shows how the investigation of healthcare databases can be used to examine physician decisions to develop evidence-based treatment guidelines that optimize patient outcomes"--Provided by publisher.
Author: Adam Bohr
Publisher: Academic Press
Published: 2020-06-21
Total Pages: 385
ISBN-13: 0128184396
DOWNLOAD EBOOKArtificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Anand J. Kulkarni
Publisher: Springer Nature
Published: 2019-10-01
Total Pages: 193
ISBN-13: 3030316726
DOWNLOAD EBOOKThis book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
Author: J Alex Ficarra
Publisher: Author House
Published: 2012-09-11
Total Pages: 839
ISBN-13: 1477263780
DOWNLOAD EBOOKUndoubtedly growing up during the Vietnam War, water gate and gas shortages can have a profound effect on a child. Also being the son of immigrant parents most certainly can lead to a traumatizing clash of cultures and the understanding of right and wrong. With that being said the Remington Company gave me the honor of a lifetime by letting me express my thoughts in unison with telling the brilliant stories of professionals around the world. As I wrote endlessly 24 hours a day I realized that our world is full of hope and real promise. I realized that it wasnt about war, ideology and the pursuit of global domination. I realized that in the pages of this great book great things were about to happen if only these stories can be made public. I realized that I had the opportunity of a lifetime by expressing the Humanitarian attributes that these professionals continually made. After many years of writing I realized that the Remington Company had a distinct and noble purpose and perhaps we could not change the present but we could certainly try to change our future. With that we created our Mentorship Program which gets these prolific stories out to the children. We wrote the stories with zest but never crossed the line of respect or dignity. We wished to capture the hearts of our audience and prove to them that giving was not an option but more so our duty as life forms on our planet. Today our book has a theme Inspiring the youth of America. This theme was our way of telling the world Lets hold hands and prepare our children for a better life. today I continue to write for the Registry. My life has irrevocably changed for the better. I volunteer for any thing all the time. I enjoy moments of quiet and the appreciation of our environment. I read these biographies in amazement as everyone else does and it never seems to get uneventful. Either way I sincerely hope you enjoy these biographies and use them to strengthen your spirit and confidence about our existence as a species on this planet. I patiently wait for divine intervention in order to write my next biography and am happy to serve the brilliant members of the Remington Registry of Outstanding Professionals.
Author: Rachel L. Richesson
Publisher: Springer Nature
Published: 2023-06-14
Total Pages: 519
ISBN-13: 3031271734
DOWNLOAD EBOOKThis extensively revised new edition comprehensively reviews the rise of clinical research informatics (CRI). It enables the reader to develop a thorough understanding of how CRI has developed and the evolving challenges facing the biomedical informatics professional in the modern clinical research environment. Emphasis is placed on the changing role of the consumer and the need to merge clinical care delivery and research as part of a changing paradigm in global healthcare delivery. Clinical Research Informatics presents a detailed review of using informatics in the continually evolving clinical research environment. It represents a valuable textbook reference for all students and practising healthcare informatics professional looking to learn and expand their understanding of this fast-moving and increasingly important discipline.
Author: Sholom M. Weiss
Publisher: Springer Science & Business Media
Published: 2010-01-08
Total Pages: 244
ISBN-13: 0387345558
DOWNLOAD EBOOKData mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Author: Rachel Richesson
Publisher: Springer Science & Business Media
Published: 2012-02-15
Total Pages: 415
ISBN-13: 1848824475
DOWNLOAD EBOOKThe purpose of the book is to provide an overview of clinical research (types), activities, and areas where informatics and IT could fit into various activities and business practices. This book will introduce and apply informatics concepts only as they have particular relevance to clinical research settings.
