000			03294cam a22005294i 4500
999			_c8896 _d8896
001			14768411
003			OSt
005			20190807101728.0
008			070312s2008 maua b 001 0 eng
010			_a 2007010526
016	7		_a101301700 _2DNLM
020			_a9780763750343
020			_a0763750344
035			_a(OCoLC)ocm85885373
035			_a(OCoLC)85885373
040			_aDNLM/DLC _cDLC _dNLM _dBAKER _dBTCTA _dC#P _dYDXCP _dDLC _erda
042			_apcc
050	0	0	_aRA409 _b.O82 2008
060	0	0	_a2007 L-045
060	1	0	_aWA 950 _bO815b 2008
082	0	0	_a610.72 _222 _bO.C.B
100	1		_aOsborn, Carol E.‏ _eauthor. _933476
245	1	0	_aBasic statistics for health information management technology / _cCarol E. Osborn.
246	1	4	_aEssentials of statistics in health information technology
264		1	_aSudbury, Mass. : _bJones and Bartlett, _c[2008]
264		4	_cc2008.
300			_axii, 292 pages : _billustartions ; _c23 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
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:• Introduces Students To How Statistical Techniques Can Be Used To Describe And Make Inferences From Healthcare Data.• Includes Traditional Hospital Statistics Such As Average Length Of Stay And Total Inpatient Service Days Uses Examples In Both SPSS And Microsoft Excel.
650		0	_aMedical statistics.
650		0	_aMedical informatics _xStatistical methods.
650		0	_aMedicine _xInformation technology _xStatistical methods.
650		0	_aInformation resources management _xStatistical methods.
650	1	2	_aStatistics as Topic _xmethods.
650	2	2	_aBiometry _xmethods.
650	2	2	_aData Interpretation, Statistical.
650	2	2	_aInformation Management _xmethods.
650	2	2	_aMedical Informatics _xmethods.
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/toc/ecip0713/2007010526.html
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK