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This volume provides the important concepts necessary for a
physician to participate in a reengineering process, develop
decision-making skills based on probability and logic rather than
"rules," and to measure and analyze meaningful outcomes of care
delivery. This approach has been developed over ten years in a
medical student-based program and has been enthusiastically
embraced by medical students without backgrounds in engineering or
statistics. More specifically, this text will introduce physicians
to relevant and available computer software, combined with an in
depth knowledge of measurement, variation, and uncertainty. It
provides a basis for the transformation of data into information,
information into knowledge, and knowledge into wisdom. The first
quarter of the book will address understanding and visualizing
data, using statistical and graphic analysis. The next quarter
addresses the fundamentals of applied statistics, and the
application of conditional probability to clinical decision making.
The next quarter addresses the four "cornerstones" of modern
analytics: regression, classification, association analysis, and
clustering. The final section addresses the identification of
outliers and their importance in understanding, the assessment of
cause and effect and the limitations associated with retrospective
data analysis. This toolbox will prepare the interested physician
to actively engage in the identification of problem areas, the
design of process-based solutions, and the continuous assessment of
outcomes of clinical practice. Armed with this toolbox, the reader
will be "prepared to make a difference" in the rapidly changing
world of healthcare delivery. Measurement and Analysis in
Transforming Healthcare Delivery is an excellent resource for
general practitioners, health administrators, and all medical
professionals interacting with healthcare delivery.
This volume provides the important concepts necessary for a
physician to participate in a reengineering process, develop
decision-making skills based on probability and logic rather than
"rules," and to measure and analyze meaningful outcomes of care
delivery. This approach has been developed over ten years in a
medical student-based program and has been enthusiastically
embraced by medical students without backgrounds in engineering or
statistics. More specifically, this text will introduce physicians
to relevant and available computer software, combined with an in
depth knowledge of measurement, variation, and uncertainty. It
provides a basis for the transformation of data into information,
information into knowledge, and knowledge into wisdom. The first
quarter of the book will address understanding and visualizing
data, using statistical and graphic analysis. The next quarter
addresses the fundamentals of applied statistics, and the
application of conditional probability to clinical decision making.
The next quarter addresses the four "cornerstones" of modern
analytics: regression, classification, association analysis, and
clustering. The final section addresses the identification of
outliers and their importance in understanding, the assessment of
cause and effect and the limitations associated with retrospective
data analysis. This toolbox will prepare the interested physician
to actively engage in the identification of problem areas, the
design of process-based solutions, and the continuous assessment of
outcomes of clinical practice. Armed with this toolbox, the reader
will be "prepared to make a difference" in the rapidly changing
world of healthcare delivery. Measurement and Analysis in
Transforming Healthcare Delivery is an excellent resource for
general practitioners, health administrators, and all medical
professionals interacting with healthcare delivery.
Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer
Book Archives mit Publikationen, die seit den Anfangen des Verlags
von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv
Quellen fur die historische wie auch die disziplingeschichtliche
Forschung zur Verfugung, die jeweils im historischen Kontext
betrachtet werden mussen. Dieser Titel erschien in der Zeit vor
1945 und wird daher in seiner zeittypischen politisch-ideologischen
Ausrichtung vom Verlag nicht beworben.
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