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Quality Improvement Project Measures Worksheet
Use this worksheet to identify the process, outcome, and balancing measures for your quality improvement project.
Are You Using Data the Right Way?
Health care leaders rely on data to guide decisions, yet when data is misinterpreted it impacts the quality of those decisions. This article discusses using data the right way to inform decisions, including control charts to display and interpret data over time.
Free from Harm: Accelerating Patient Safety Improvement Fifteen Years after To Err Is Human
This report assesses the state of patient safety in health care, advocating for a total systems approach across the continuum of care and establishment of a culture of safety, and calling for action by government, regulators, health professionals, and others to place higher priority on patient safety improvement and implementation science.
Personalized Perfect Care
The authors propose measuring quality from the patient’s perspective as an expression of his or her personalized health needs. The Personalized Perfect Care Bundle combines several distinct measures into one and is scored as “all-or-none,” with the patient’s care being counted as complete if he or she has met all of the quality measures for which he or she is eligible.
WIHI: Measures That Matter: Whole System Measures 2.0
December 1, 2016 | Against a backdrop of hundreds of improvements that are being tracked and reported on by thousands of health systems in the US alone, guidance on which measures are most important to the pursuit of better care, better health, and lower cost couldn’t be more timely.
Whole System Measures 2.0: A Compass for Health System Leaders
This white paper presents Whole System Measures 2.0, a set of 15 measures to help health care system leaders and boards better understand their organization’s current (and desired) performance across three (Triple Aim) domains: population health, experience of care, and per capita cost.
A Guide to Measuring the Triple Aim: Population Health, Experience of Care, and Per Capita Cost
This white paper provides suggested measures for the three dimensions of the Triple Aim, accompanied by data sources and examples, and describes how these measures might be used along with process and outcome measures for particular projects to create a learning system to achieve the Triple Aim.
More Quality Measures versus Measuring What Matters: A Call for Balance and Parsimony
The authors propose a policy that quality measurement should be parsimonious: to measure quality, outcomes, and costs with appropriate metrics that are selected based on needs of patients, providers, and payers.
Deciphering Harm Measurement
This article looks at several current approaches to measuring harm.
WIHI: You Can't Improve What You Can't Evaluate
April 19, 2012 | Four leading experts discuss challenges with the design and evaluation of improvement initiatives, and offer guidance on building in a robust learning and evaluation system for every step of the way.
Author in the Room: All-or-None Measurement
April 2006 | A discussion with the authors of the JAMA article "All-or-None Measurement Raises the Bar on Performance."
Science of Improvement: Establishing Measures
Measurement is a critical part of testing and implementing changes; measures tell a team whether the changes they are making actually lead to improvement.
Annotated Bibliography for Improving Care for Patients with Congestive Heart Failure
This annotated bibliography presents selected literature for improving care for patients with congestive heart failure.
Profiles in Improvement: Sheila Leatherman, School of Public Health, University of North Carolina at Chapel Hill
Who's improving health care? People are at hospitals and in office practices all across the US and internationally. IHI is sharing the stories of these individuals. Here is a profile of Sheila Leatherman (Chapel Hill, North Carolina, USA).
Whole System Measures
This white paper describes and promotes the use of a system of metrics, called the Whole System Measures, to measure the overall quality of a health system and to align improvement work across a hospital, group practice, or large health care system.
Patient First: Efficient Patient Flow Management Impact on the ED
Memorial Regional Hospital (Hollywood, Florida, USA) improves care and service in the adult emergency department by focusing on key operational, clinical, and service improvement strategies.
Reducing ED Door-to-Doctor Time by Implementing Lean Process and Tools
Florida Hospital (Orlando, Florida, USA) reduces emergency department door-to-doctor time by implementing lean process and tools.
Know When Enough Data is Enough
Measurement should speed improvement, not slow it down; a team needs just enough data to make a sensible judgment as to next steps.
Improving Inpatient and Emergency Department Flow for Veterans
VA Boston Healthcare System (West Roxbury, Massachusetts, USA) focused its efforts on reducing both inpatient and emergency department flow in order to increase access to inpatient tertiary services for veterans.
Successful Measurement for Improvement
Successful measurement is a cornerstone of successful improvement. The key is to choose the right measurements, so that you can see results quickly and adapt your interventions accordingly, putting less strain on resources and more focus on outcomes.
Risk Priority Number (from Failure Modes and Effects Analysis)
The Risk Priority Number, or RPN, is a numeric assessment of risk assigned to a process, or steps in a process, as part of Failure Modes and Effects Analysis (FMEA), in which a team assigns each failure mode numeric values that quantify likelihood of occurrence, likelihood of detection, and severity of impact.
Cost per Surgery
Formula: Dollars allocated to surgical accounting codes per month divided by the number of surgical cases.
Balanced Score Card Quality Report
An example of a balanced score card used to display goals and data related to patient satisfaction, finance, strategy, patient safety, development, and employee measures.
Simple Data Collection Planning
Simple data collection planning is a process to ensure that the data you collect for performance improvement are useful and reliable, without being unnecessarily costly and time-consuming to obtain.
A histogram is a special type of bar chart used to display the variation in continuous data like time, weight, size, or temperature.