Interpret - 3 I's of Process Improvement (Part 2 of 3)
You've done your research and investigated the issue in your health system. You gathered feedback from patients, staff, focus groups, and surveys over the last 90 days and now it's time to interpret what you found.
While you may think interpretation is the easiest of the 3 I's, it can be tricky because too many people go through this process using a form of confirmation bias, meaning they view this data as a tool to simply confirm what they already believe. Instead it should be viewed as a hypothesis which you set out to disprove what you originally believed. You don't need to be a scientist (I am definitely not), but keep an open mind when viewing the results of your investigation.
Interpreting the Data
You've collected information and feedback about the wait times in your ED. Now's the time to do a root cause analysis to understand why delays are happening. You're looking for answers to the following questions:
What
Why
Who
Some things to help when interpreting your findings:
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Next time we'll get into intervening... how to fix the issue.
Note: This is the second article in the series of utilizing a simple framework for process improvement and we've been using the example of rectifying the issue of long wait times in the Emergency Department. If you missed the first article focused on Investigating, you can find it here.
Networking and Learning Opportunity for Patient Experience
NRC Health is hosting our 30th annual conference in scenic San Diego on August 21-23. Hub 24 is the place to learn about new patient experience, market experience, consumer experience, and employee experience initiatives from your peers and industry leaders. Make your travel plans and confirm your spot here before the venue is full.
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