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Statistical Applications for Health Information Management by Carol E. Osborn

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Published by Jones & Bartlett Publishers .
Written in English

Subjects:

  • Medicine: General Issues,
  • Medical statistics,
  • Health services administration,
  • Health & Fitness,
  • Medical / Nursing,
  • Health/Fitness,
  • methods,
  • Pain Management,
  • General,
  • Biometry,
  • Statistical methods

Book details:

The Physical Object
FormatPaperback
Number of Pages350
ID Numbers
Open LibraryOL9731406M
ISBN 10076372842X
ISBN 109780763728427

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  Medical Book Statistical Applications for Health Information Management The author draws on her first-hand experience to demonstrate how frequency measures, as well as descriptive and inferential statistics, are being used to analyze clinical/administrative health care data today.   Analysis of statistical data inHeath information managementIntroduction For proper and effective health planning and decisionmaking in any health institution adequate and reliabledata must be collected and fully analyzed. Well analyzed data will make the decision makers todetect and control emerging and endemic healthproblem, monitor progress. Get this from a library! Statistical applications for health information management. [Carol E Osborn] -- "Statistical Applications for Health Information Management, Second Edition covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information. This book is unique as he promotes the use of statistical techniques in problems in healthcare encountered in everyday work. Health information academic program leaders should consider this book for their statistical analysis or introductory evaluation or research courses. The book should not be limited to health information management : Carol E. Osborn.

Find helpful customer reviews and review ratings for Statistical Applications for Health Information Management at Read honest and unbiased product reviews from our users/5. ISBN: OCLC Number: Description: xi, pages: illustrations ; 26 cm: Contents: Ch. 1. Commonly used frequency measures in health care --Ch. c display of data --Ch. uction to measurement --Ch. es of central tendency and variability --Ch. normal distribution and statistical inference --Ch. Hypothesis testing of the.   Open Library is an open, editable library catalog, building towards a web page for every book ever published. Statistical Applications for Health Information Management by Carol E. Osborn, , Jones & Bartlett Publishers edition, Paperback in English - 1st editionPages: Table of Contents for Statistical applications for health information management / Carol E. Osborn, available from the Library of Congress.

Health Care Applications of Statistical Process Control: Continuous quality improvement is a management strategy Other useful references on statistical quality improvement in health care include Al-Assaf and Schmele (), Benneyan (), Berwick (, , ), Laf-File Size: KB. A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel provides statistical concepts for interpreting results using Excel. The book emphasizes the application of. As with previous editions, the tenth revision of MEDICAL RECORD MANAGEMENT, now known as HEALTH INFORMATION MANAGEMENT, is intended to be a basic textbook & reference for the field of medical records & health information management. Edna K. Huffman, the original author of this text, was one of the first educators in the field of medical record management & the seventh president of the .   This study aims to identify the statistical software applications most commonly employed for data analysis in health services research (HSR) studies in the U.S. The study also examines the extent to which information describing the specific analytical software utilized is provided in published articles reporting on HSR studies. Data were extracted from a sample of 1, articles (including Cited by: 9.