| 000 | 02789cam a2200361 a 4500 | ||
|---|---|---|---|
| 008 | 100301s2008 maua b 001 0 eng | ||
| 010 | _a2007010526 | ||
| 020 | _a9780763750343 (pbk.) | ||
| 020 | _a0763750344 | ||
| 035 | _a(Sirsi) u4117 | ||
| 040 |
_aEG-CaNU _c EG-CaNU _d EG-CaNU |
||
| 042 | _ancode | ||
| 082 | 0 | 0 |
_a610.72 _2 22 |
| 100 | 1 |
_aOsborn, Carol E. _94391 |
|
| 245 | 1 | 0 |
_aBasic statistics for health information management technology / _c Carol E. Osborn. |
| 246 | 1 | 4 | _aEssentials of statistics in health information technology |
| 260 |
_aSudbury, Mass. : _b Jones and Bartlett, _c c2008. |
||
| 300 |
_axii, 292 p. : _b ill. ; _c 23 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aBasic statistical data used in acute care facilities -- Population-based morbidity and mortality measures -- Graphic display of data -- Introduction to measurement -- Measures of central tendency and variability -- The normal distribution and statistical inference -- Hypothesis testing and statistical inference -- Measures of association. | |
| 520 | _aFrom the author of Statistical Applications for Health Information Management, this text provides a solid foundation of the fundamentals of statistics in health information technology in an accessible and reader-friendly format. A single case study is woven throughout the book to serve as an example for each statistical process covered. Attention is given to morbidity and mortality measures, graphical display of data, measurement, central tendency and variability, normal distribution and statistical inference, and inferential statistics. Written specifically for health information technology students who need a basic understanding of the topic, this text is ideal for those with a modest background in mathematics and no prior training in statistics. Features: bull; Introduces students to how statistical techniques can be used to describe and make inferences from healthcare data. bull; Includes traditional hospital statistics such as average length of stay and total inpatient service days. bull; Uses examples in both SPSS and Microsoft Exce | ||
| 650 | 0 |
_aMedical statistics. _9431 |
|
| 650 | 0 |
_aMedical informatics _x Statistical methods. _9431 |
|
| 650 | 0 |
_aMedicine _x Information technology _x Statistical methods. _98145 |
|
| 650 | 0 |
_aInformation resources management _x Statistical methods. _98146 |
|
| 650 | 1 | 2 |
_aStatistics as Topic _x methods. _98147 |
| 650 | 2 | 2 |
_aData Interpretation, Statistical. _98148 |
| 650 | 2 | 2 |
_aBiometry _x methods. _91953 |
| 650 | 2 | 2 |
_aInformation Management _x methods. _98149 |
| 650 | 2 | 2 |
_aMedical Informatics _x methods. _9431 |
| 596 | _a1 | ||
| 999 |
_c3113 _d3113 |
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