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QUALITY TODAY

A blog dedicated to advancing healthcare quality.

When it Comes to Data Abstraction, Quality Checks Improve Accuracy

Posted by Rachel Verslues on Feb 16, 2017 9:00:00 AM

There are times in healthcare when two-person verification is essential in order to safeguard against errors. One time when two-person verification is common is during blood transfusions, another time is when medications (like insulin) are being administered. The point is, there are certain instances when it just makes sense to have multiple sets of eyes verifying information because stakes are high and outcomes are important. The same can be said about data abstraction. Since data accuracy is important, it is helpful to have a team of people working together on data abstraction so they can periodically cross-check results for quality.

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Topics: data abstraction, IRR

Why Inter-Rater Reliability Matters & How to Do It

Posted by Revee White on Jun 27, 2016 10:00:00 AM

As new payment models continue to push the demand for more and more healthcare big data, it is essential that organizations produce quality data that is complete, valid and reliable. Often, your data relies on the skills, training and commitment of your abstraction team. Data abstraction results should be validated through ongoing Inter-Rater Reliability (IRR) review to determine accuracy and completeness.

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Topics: operational efficiency, IRR, data abstraction

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