How Strong is your Data QA Process?

Do you QA your internal data?

Yes, we QA our internal patient data

No, I don’t even know what QA is

Maybe? I’m not sure.

Do you QA your state data set?

Yes, we QA our state data

Yes, we outsource our state Data QA to a third-party

No, we don't QA our state data

Maybe? I’m not sure.

What do you check for when you QA your data?

Total volume and financials

Total volume, financials, facility names, ZIP code volume change, and product line volume change

I don’t know what we check for

We don’t QA our data

Do you check for discrepancies in data?

Yes, quarterly

Yes, annually

I think so?

We don't check for discrepancies

What is your process for fixing problems when you find them? Select all that apply.

Flag them

Make a caveat

Roll your data forward to normalize the data

Investigate data sources to find an explanation. For example, was there an expansion of services? Did the facility merge with another hospital? Did a specialist leave?

Contact hospital, state, or corporate offices for clarification

None of the above

I'm not sure

Do you have a standardized method for identifying outliers in the data?

We use an algorithm that looks for trends, seasonality, etc

We check with formulas

Not really, someone just looks over it

No, we don’t have a method in place

Do you have an FTE in-house dedicated to QA?

Yes

No, we don’t have anyone dedicated to QA

I don't know

No, we outsource our Data QA to a third-party

How Strong is your Data QA Process?

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