000			02237 a2200325 4500
999			_c2884 _d2884
003			OSt
005			20191226215129.0
008
010			_a
020			_a9780470902585 (pbk.)
050	0	0	_a
060	1	0	_aW 84.41 PH 2011
082	0	0	_a
100	1		_aProvost, Lloyd P. _910038
245	1	4	_aThe health care data guide : _blearning from data for improvement. _c
250			_a
260			_aSan Francisco, CA : _bJossey-Bass, _c2011.
300			_axxviii, 445 p. : _bill. : _c28 cm.
504			_aIncludes bibliographical references and index.
520			_aThe 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.
650		0	_aMedical care
650		0	_aMedical care
650	1	2	_aProcess Assessment (Health Care) _910041
650	2	2	_aData Interpretation, Statistical.
650	2	2	_aQuality Assurance, Health Care.
650	2	2	_aTotal Quality Management
700	1		_aMurray, Sandra K. _910045
942			_2NLM _cBK