Better outcomes that stick by testing improvements
to your processes.
Our premise - the work we do every day shapes the outcomes we produce for patients. Understanding and improving our work processes lets us make healthcare better in ways that stick.
So how do customers make improvements with Qualaris? Read on.
Set a measurable goal for an outcome you'd like to reliably produce.
What outcome do you want to reliably produce? Zero preventable infections each month? An excellent care experience for each patient reflected in satisfaction scores? Use Qualaris to set a clear, measurable goal with a timeframe that everyone can work towards together using our quality improvement toolkit.
Identify and measure key processes that drive your outcomes.
If we want better outcomes that stick, we need to first understand how they're produced by key processes. How are our prevention bundles completed? Are handoffs done reliably? How are staff communicating with patients? Use Qualaris to create data collection tools that give you the granular understanding you need to guide effective changes.
Gather opportunities for improvement from your team and your data.
Bringing a team together to observe and understand key processes that produce your outcome can uncover gaps or issues. Is there a step in a bundle people often forget? Are there important communications that aren't happening reliably? Use Qualaris to identify, discuss, and manage opportunities from your data, your team, or other activities like root cause analysis.
Design and test changes to produce your outcome more reliably.
The keystone step - testing your best ideas for improvement and learning whether they work. We want to change equipment, but did that new equipment actually reduce a common error? We want to adjust our approach to fall prevention management, but did we get more reliable coverage of patients at high risk? People have many ideas to try, but if we don't learn whether they work we can spin our wheels. Qualaris makes it easy to collaboratively coordinate tests of change so you can learn what changes are actual improvements that affect your measures.