A blog dedicated to advancing healthcare quality.

How to Keep Data From Shifting Your Focus from Quality Healthcare

Posted by Jodie Jackson, Jr. on Jun 12, 2017 9:00:00 AM

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Topics: practice transformation, value-based care, data abstraction

Navigating the Rapids of Healthcare Quality Improvement

Posted by Jodie Jackson, Jr. on Jun 1, 2017 9:00:00 AM

A lazy, carefree float trip on one of the Midwest's meandering rivers was memorable for a lot of good reasons, but mostly for the decision that one canoe team of co-workers made to challenge the rapid, churning current on the left side of the gravel bar.

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Topics: registry abstraction, value-based care, quality improvement, data abstraction

Why Registries are more essential now than ever

Posted by Rachel Verslues on Apr 24, 2017 9:00:00 AM

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As you know, healthcare registries are used to track outcomes and capture patient data for defined populations. Registries are valuable because the information they contain can be analyzed and used to make data-driven decisions and improvements to patient care. In the age of value-based payments, quality improvements are often tied to improved financial outcomes. The examples below underscore why registries are becoming increasingly important under payment models that prioritize quality, outcomes and efficiency – and why accurate registry reporting is so critical.

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Topics: registry abstraction, data abstraction

10 Ways Hospitals Can Make Registry Abstraction Easier

Posted by Rachel Verslues on Apr 6, 2017 9:00:00 AM

Registry abstraction is one of those things that is important, but doesn’t always get treated that way. It’s not that hospitals don’t understand the importance of registry abstraction or the reasoning behind it, most do. However, hospitals admittedly struggle with registry abstraction. Competing priorities and limited amounts of time and resources often cause registry abstraction to get pushed to the backburner. The fact that so many hospitals around the country are weeks or months behind on abstraction, and have new charts piling up every day, is proof there are challenges to overcome. Below is a list of ten things hospitals should address in order to improve registry abstraction.

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Topics: registry abstraction, data abstraction

5 Tips for Effectively Managing Quality Measure Reporting

Posted by Adam Voight on Mar 27, 2017 9:00:00 AM

5 TIPS Quality Reporting graphic.pngWhat is the hardest part about managing quality measure reporting? Often it’s assumed that the most stressful part of quality measure reporting is achieving quality standards. But the truth is, that isn’t always the case. Although the pressure to demonstrate a high level of performance against quality measures is significant, the biggest challenge for providers is actually complying with the complex and time-consuming reporting process. 

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Topics: quality improvement, data abstraction

Essential Resources for Registry Abstraction Updates

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

Do you know where to find the latest abstraction guidelines and updates from registries? Registries are constantly making changes and updating their manuals. That can lead to headaches for hospital teams as they attempt to accurately abstract data. Registry changes are easy to miss, but there are some resources hospital abstractors can turn to for updated information. The resources below are essential for anyone tracking registry abstraction updates.

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Topics: registry abstraction, data abstraction

Here's How You Can Catch Up for Good with Chart Abstractions

Posted by Rachel Verslues on Mar 9, 2017 9:00:00 AM

As most hospitals know, getting behind on registry abstraction is easy. Getting caught up, on the other hand, is a very different story. When it comes to abstraction, there always seems to be more work to do than time to do it. So, when you fall behind (even just a little) it can be really difficult to catch up and get current on charts. For hospitals that are facing weeks or months of backlogged abstraction work, the following tips can be helpful for getting and staying caught up.

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Topics: registry abstraction, data abstraction

Are You Struggling to Stay Afloat with Quality Reporting?

Posted by Rachel Verslues on Feb 27, 2017 9:00:00 AM

Your data is more than just numbers. It tells a story about your patients, your staff and your organization as a whole. Analyzing this data allows healthcare providers to look at specific diseases and processes within the organization to provide feedback to staff to do their job better.

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Topics: abstraction vendor, data abstraction

Registry Abstraction: Tracking Down Missing Data

Posted by Adam Voight on Feb 23, 2017 9:00:00 AM


Anyone within a hospital that has ever been responsible for abstracting data from medical charts knows the pain of charts that are missing data from required registry reporting fields. The data points hospitals are required to submit vary from one registry to the next. While it is the job of abstractors to know what data is required for the different registries, abstractors can only pull information from records if that info is actually there. Because missing data is a such a common problem – not to mention a huge headache for abstractors – it is helpful to know some strategies for tracking down key information that is absent from charts.

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Topics: care coordination, data abstraction

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: IRR, data abstraction

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