Improvement science is a problem-solving approach centered on continuous inquiry and learning.
Change ideas are tested in rapid cycles, resulting in efficient and useful feedback to inform system improvements.
A core principle of improvement science is that a system’s performance is a result of its design and operation, not simply a result of individuals’ efforts within the system.
Improvement science if focused upon helping organizations build a shared understanding about how systems work, where breakdowns occur, and what actions can be taken to improve overall performance.
The primary tools of improvement science is the Plan-Do-Study-Act (PDSA) inquiry cycle. Practitioners test changes, document the results, and revise their theories about how to achieve their aim.
This is small-scale testing, which enables quick learning and nimble adjustments with minimal cost.
Over time and with repeated cycles of small-scale testing along with other forms of research, an organization can identify ways to achieve positive results reliably and at scale.
According to the Carnegie Foundation
It starts with a single question: “What specifically is the problem we are trying to solve?” It enlivens a co-development orientation: engage key participants early and often.
The critical issue is not what works, but rather what works, for whom and under what set of conditions. Aim to advance efficacy reliably at scale.
It is hard to improve what you do not fully understand. Go and see how local conditions shape work processes. Make your hypotheses for change public and clear.
Embed measures of key outcomes and processes to track if change is an improvement. We intervene in complex organizations. Anticipate unintended consequences and measure these too.
Engage rapid cycles of Plan, Do, Study, Act (PDSA) to learn fast, fail fast, and improve quickly. That failures may occur is not the problem; that we fail to learn from them is.
Embrace the wisdom of crowds. We can accomplish more together than even the best of us can accomplish alone.
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