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All-or-none measurement raises the bar on performance
Nolan T, Berwick DM. All-or-none measurement raises the bar on performance. Journal of the American Medical Association. Mar 2006;295(10):1168-1170.
All major quality measurement systems use science-based indicators of proper processes of care. In this article the authors describe three different measurement options — item-by-item, composite, and all-or-none measurement — then contend that the all-or-none approach offers distinct advantages for achieving optimal patient care.
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Organ Donation Breakthrough Collaborative: Increasing organ donation through system redesign
Shafer TJ, Wagner D, Chessare J, Zampiello FA, McBride V, Perdue J. Organ Donation Breakthrough Collaborative: Increasing organ donation through system redesign. Critical Care Nurse. Apr 2006;26(2):33-48.
The Organ Donation Breakthrough Collaborative was initiated in April 2003 by Health and Human Services Secretary Tommy G. Thompson and others. The goal of the Collaborative: to dramatically increase access to transplantable organs in the US health care system. The authors describe the system redesign and results achieved using the Collaborative methodology developed by the Institute for Healthcare Improvement. The Collaborative has led to major increases in conversion rates at the participating hospitals as well as to national increases in organ donations.
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Finding the balance between quality and cost
Nolan T, Bisognano M. Finding the balance between quality and cost. Healthcare Financial Management. Apr 2006;60(4):66-72.
What's the answer to improving the value if health care? One group believes hospitals could take a lesson from Japanese quality expert Noriaki Kano. At a time when consumer demand for value in health care — both in terms of quality and price — has never been higher, Kano could share important insights with hospital CFOs and clinicians alike.
Fult text available! Click view article below.
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A Guide to Idealized Design
Moen R. A Guide to Idealized Design. Cambridge, Massachusetts: Institute for Healthcare Improvement; 2002.
The Institute for Healthcare Improvement created Idealized Design to bring together organizations committed to comprehensive system redesign. New levels of performance can be achieved only through dramatic system-level redesign. Idealized Design enables the system to perform better in the future than the best it can do today. This guide describes the Idealized Design process in detail.
Full Text Available! Click View unpublished manuscript below.
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Broadening the view of evidence-based medicine
Berwick DM. Broadening the view of evidence-based medicine. Quality and Safety in Health Care. Oct 2005;14(5):315-316.
This article is a commentary on an article by Frank Davidoff and Paul Batalden ["Toward stronger evidence on quality improvement: Draft publication guidelines"] which presents draft guidelines for writing and publishing reports on the experiences and results of quality improvement projects. Dr. Berwick argues that we need to open up to a new wave of disciplined methods of learning from reflective practice and disciplined methods of sharing the learning through transparent, accurate, and complete published reports — such as with the use of publication guidelines.
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Toward stronger evidence on quality improvement. Draft publication guidelines: The beginning of a consensus project
Davidoff F, Batalden P. Toward stronger evidence on quality improvement. Draft publication guidelines: The beginning of a consensus project. Quality and Safety in Health Care. Oct 2005;14(5):319-325.
Unfortunately, scholarly accounts of the methods, experiences, and results of most medical quality improvement work are not published, either in print or electronic form. The authors of this article try to create a set of guidelines for the writing and publishing of reports on health care improvement endeavors.
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Performance of number-between g-type statistical control charts for monitoring adverse events
Benneyan JC. Performance of number-between g-type statistical control charts for monitoring adverse events. Health Care Management Science. Dec 2001;4(4):319-336.
This article investigates the statistical properties of these new charts and illustrates several design considerations that can significantly improve their operating characteristics and sensitivity, including the use of within-limit rules, a new in-control rule, redefined Bernoulli trials, and probability-based limits.
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