A Practical Approach To Analyzing Healthcare Data
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A Practical Approach To Analyzing Healthcare Data
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Author : Lynn Kuehn
language : en
Publisher:
Release Date : 2009-10-31
A Practical Approach To Analyzing Healthcare Data written by Lynn Kuehn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-31 with categories.
A Practical Approach To Analyzing Healthcare Data 4e
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Author : White
language : en
Publisher:
Release Date : 2021-03-31
A Practical Approach To Analyzing Healthcare Data 4e written by White and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with categories.
A Practical Approach To Analyzing Healthcare Data
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Author : Susan White
language : en
Publisher:
Release Date : 2016
A Practical Approach To Analyzing Healthcare Data written by Susan White and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Medical informatics categories.
"A Practical Approach to Analyzing Healthcare Data, Third Edition, offers guidance to healthcare professionals and health information management (HIM) students on how to best analyze, categorize, and manage the data that they encounter in an industry becoming ever more dependent on these tasks. With expanded and reorganized content on statistical analysis techniques, and new content on value-based purchasing (VBP) analytics and risk adjustment, this text applies broader principles of data evaluation specifically to the field of HIM. Updated and augmented online resources give professionals and students access to actual data sets and data analysis tools to use in their studies, and an Analysis in Practice section added to each chapter facilitates hands-on experience working with data. A Practical Approach to Analyzing Healthcare Data, Third Edition, offers guidance to healthcare professionals and health information management (HIM) students on how to best analyze, categorize, and manage the data that they encounter in an industry becoming ever more dependent on these tasks. With expanded and reorganized content on statistical analysis techniques, and new content on value-based purchasing (VBP) analytics and risk adjustment, this text applies broader principles of data evaluation specifically to the field of HIM. Updated and augmented online resources give professionals and students access to actual data sets and data analysis tools to use in their studies, and an Analysis in Practice section added to each chapter facilitates hands-on experience working with data"--Publisher's description.
A Practical Approach To Analyzing Healthcare Data
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Author : Susan White
language : en
Publisher:
Release Date : 2013-12-01
A Practical Approach To Analyzing Healthcare Data written by Susan White and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Medical categories.
Rev. ed. of: Practical approach to analyzing healthcare data / Lynn Kuehn. c2009.
Analytics In Healthcare
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Author : Christo El Morr
language : en
Publisher: Springer
Release Date : 2019-01-21
Analytics In Healthcare written by Christo El Morr and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-21 with Medical categories.
This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.
Healthcare Analytics For Quality And Performance Improvement
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Author : Trevor L. Strome
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-02
Healthcare Analytics For Quality And Performance Improvement written by Trevor L. Strome and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-02 with Business & Economics categories.
Improve patient outcomes, lower costs, reduce fraud—all with healthcare analytics Healthcare Analytics for Quality and Performance Improvement walks your healthcare organization from relying on generic reports and dashboards to developing powerful analytic applications that drive effective decision-making throughout your organization. Renowned healthcare analytics leader Trevor Strome reveals in this groundbreaking volume the true potential of analytics to harness the vast amounts of data being generated in order to improve the decision-making ability of healthcare managers and improvement teams. Examines how technology has impacted healthcare delivery Discusses the challenge facing healthcare organizations: to leverage advances in both clinical and information technology to improve quality and performance while containing costs Explores the tools and techniques to analyze and extract value from healthcare data Demonstrates how the clinical, business, and technology components of healthcare organizations (HCOs) must work together to leverage analytics Other industries are already taking advantage of big data. Healthcare Analytics for Quality and Performance Improvement helps the healthcare industry make the most of the precious data already at its fingertips for long-overdue quality and performance improvement.
Healthcare Data Analytics And Management
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Author : Nilanjan Dey
language : en
Publisher: Academic Press
Release Date : 2018-11-15
Healthcare Data Analytics And Management written by Nilanjan Dey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-15 with Science categories.
Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges
The Health Care Data Guide
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Author : Lloyd P. Provost
language : en
Publisher: John Wiley & Sons
Release Date : 2011-12-06
The Health Care Data Guide written by Lloyd P. Provost and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-06 with Medical categories.
The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes. Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes. Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data. Companion Web site: www.josseybass.com/go/provost
Healthcare Service Management
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Author : Li Tao
language : en
Publisher: Springer
Release Date : 2019-05-08
Healthcare Service Management written by Li Tao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-08 with Computers categories.
Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals. The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis; integrated projection; service management strategy design and evaluation; and behavior-based autonomy-oriented modeling -- to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects: Ability to explore underlying complex relationships between observed or latent impact factors and service performance. Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance. Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals. Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance. To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients’ and hospitals’ autonomous behavior, and their interactions via wait times may bear the responsible for the emergence of spatio-temporal patterns observed in the real-world cardiac care system. Furthermore, this book presents an intelligent healthcare decision support (iHDS) system, an integrated architecture for implementing the data-driven complex systems modeling approach to developing, analyzing, investigating, supporting and advising healthcare related decisions. In summary, this book provides a data-driven systematic approach for addressing practical decision-support problems confronted in healthcare service management. This approach will provide policy makers, researchers, and practitioners with a practically useful way for examining service utilization and service performance in various ``what-if" scenarios, inspiring the design of effectiveness resource-allocation strategies, and deepening the understanding of the nature of complex healthcare service systems.
Biostatistics And Computer Based Analysis Of Health Data Using Sas
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Author : Christophe Lalanne
language : en
Publisher: Elsevier
Release Date : 2017-06-22
Biostatistics And Computer Based Analysis Of Health Data Using Sas written by Christophe Lalanne and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-22 with Computers categories.
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands. Presents the use of SAS software in the statistical approach for the management of data modeling Includes elements of the language and descriptive statistics Supplies measures of association, comparison of means, and proportions for two or more samples Explores linear and logistic regression Provides survival data analysis