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Presented by Chad Glenn
Rapid Cycle Testing Accelerating changes through the use of PDSA cycles
2 Chad Glenn, Innovation Group
Rapid Cycle Testing Accelerating changes through the use of PDSA - - PDF document
7/11/2017 Rapid Cycle Testing Accelerating changes through the use of PDSA cycles Presented by Chad Glenn Chad Glenn, Innovation Group 2 1 7/11/2017 Chad Glenn, Innovation Group 3 Discussion Topics Learning and improvement
7/11/2017 1
Presented by Chad Glenn
Rapid Cycle Testing Accelerating changes through the use of PDSA cycles
2 Chad Glenn, Innovation Group
7/11/2017 2
3 Chad Glenn, Innovation Group 4 Chad Glenn, Innovation Group
The goal: Learn how PDSA (Plan-Do-Study-Act) cycles can increase learning and rapidly improve processes through smartly designed, small scale iterative tests.
cycles
cycles
implementation
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What are we trying to accomplish? How will we know that a change is an improvement? What changes can we make that will result in an improvement?
Courtesy of IHI
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Courtesy of IHI
AIMS MEASURES CHANGES
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Aim: Decrease LBTC% by 40% over the next 6 months
Theory – Utilization of Clinician in Triage will reduce LWOT% Decreased LBTC %
A P S D A P S D
Cycle 1: Run demand capacity analysis to evaluate feasibility of Clinician-in-Triage based on volume and acuity (1 day) Cycle 2: Cycle 3: Cycle 4: Test parallel processing with 1 APP + 1 nurse in Triage (2 weeks) Cycle 5: Pilot Team Triage all days (4 weeks) Canvas physicians to identify and reach consensus
Test using physician in triage for busy days (2 weeks)
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Aim: Increase APP chart efficiency by 25% over the
next 6 month
Theory – Utilization of scribes increases chart efficiency Improved chart efficiency
A P S D A P S D
Cycle 1: Follow 1 APP through to test theory that they would benefit from the support of a scribe (1 day) Cycle 2: Cycle 3: Cycle 4: Test scribes w/ 2 APPs, one day shift, one night shift (2 weeks) Cycle 5: Pilot test scribes for all APPs (4 weeks) Reference scribes playbook and canvas APPs and scribes to identify best practices for scribe implementation (2 days) Use 1 scribe, 1 APP, 1 shift (2 days)
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Can one learn more by diagnosing the current process or system, or by changing something right away?
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Can one learn more by diagnosing the current process or system, or by changing something?
Teams often spend too much time thinking about all the possible
with a test of a change.
(analysis paralysis).
learning and improvement
Quote from Langley et al. Improvement Guide. p. 142
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The aim of this discussion is the introduce the Model for Improvement (MFI) which is a tool for accelerating change in a complex and dynamic environment. The MFI is not meant to replace existing process improvement effort, but rather accelerate them. It truly acts as a catalyst in that it speeds up the changes that we want to see made.
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Four Steps: Plan, Do, Study, Act
TIME KNOWELEDGE
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P D S A P D S A P D S A P D S A Learning and Improvement AKA ‐ “Rapid Cycle Testing” ‐ “Learning and Improvement Cycles” ‐ “Sequential/ Iterative Testing”
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Triage protocols Scheduling protocols Treatment protocols Discharge protocols
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by PDSA cycle
hypothesis that supports prediction
data to answer questions
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improvement
efficiency
Cycle to help differentiate these situations.
Courtesy of IHI
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Don’t get stuck in the “do-do” phase Don’t get stuck in the “do-do” phase
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Predictions Results
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about the change (Scale up? Test under different conditions?)
an alternative change?
costs) of the change?
basis?
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Iterative Process
Designed by Chad Glenn, IG
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High Moderate Low
Degree of belief that the change will result in an improvement
Developing a change Testing a change cycle 1, cycle 2 … Implementing a change
Unsuccessful proposed change Change still needs further testing
A B C
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Perspective of Participating Teams Perspective of those affected by change Degree of belief Cost of failure Readiness for change Resistant
(no commitment)
Indifferent
(some commitment)
Ready
(strong commitment)
Low degree of belief that a change idea will lead to an improvement Large Very small-scale test Very small-scale test Very small-scale test Small Very small-scale test Very small-scale test Small-scale test High degree of belief that a change idea will lead to an improvement Large Very small-scale test Small-scale test Large-scale test Small Small-scale test Large-scale test Implement
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Hunches Theories Ideas Changes That Result in Improvement A P S D A P S D Very Small Scale Test Follow-up Tests Wide-Scale Tests of Change Implementation of Change
Courtesy IHI – Institute for Healthcare Improvement
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Tips for successful
(does age make difference? eye color? gender?...)
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Think a couple of cycles ahead of the initial test (future tests, implementation) Scale down size of test (# of patients, location) and decrease the time required for the initial test Do not try to get buy-in, consensus; test with volunteers Use temporary supports to make the change feasible during the test Be innovative to make test feasible
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change review and comment on its feasibility
develop it before introducing the change to others
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Courtesy IHI – Institute for Healthcare Improvement
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Act
‐ Abandon? ‐ Adopt? ‐ Accept? Plan
predictions (why)
the cycle (who, what, where, when) Study
analysis of the data
predictions
was learned Do
and unexpected
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Act Plan Study Do
Willing to compromise on scope, size, rigor, and sophistication, but the cycle must be completed by Tuesday.
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(2-4) of PDSA cycles
who's involved, lessons to learn, and when you will do the After Action Reviews (AARs)
Format- increasing in learning and complexity
Be sure to include/think through your timelines.
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The Improvement Guide. G. Langley et al., Jossey-Bass Publishers., San Francisco, 1996.
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The Health Care Data Guide. L. Provost, S. Murray. Jossey-Bass Publishers., San Francisco, 2011.
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Quality Improvement Through Planned Experimentation. 2nd ed. R. Moen, et al., McGraw-Hill, NY, 1998.