What causes your organization’s data to go bad? And what steps can you take to maintain data integrity?

Welcome to the final part of our three-part series on data quality. In a previous post, I discussed what it means to have fit data and reviewed six dimensions of data fitness: completeness, correctness, timeliness, uniqueness, format validity and acceptability. Remember, data fitness relates to how fit each of your organization’s data elements are for their ultimate purpose.

In 2017, health care organizations were hit with a new quality reporting challenge: MIPS. Dun dun dun. Through MIPS, under the Quality Payment Program (QPP), physician Medicare reimbursements would either be incentivized or penalized based on their performance.

The start of the year is a time of transition...or is it? Shouldn’t we be able to just roll over into the next year and immediately start tracking what’s happening? Yes, of course. And maybe you're thinking you already do, but the question is, can you track your eCQMs starting on January 1 using the new specifications?

You may have heard a little bit about something called CQL in relation to eCQMs. Today we explain the basics of CQL and review how will it affect your quality reporting in 2019.

How fit is your data? And what does it mean to have ‘fit’ data?

To understand data fitness, you need to first have a good understanding of data quality. A helpful and well-adopted definition of data quality throughout the data quality industry is the fitness to the purpose of use. In other words, the way that you use certain measures, analytics or reports defines its quality or integrity. So when it comes to evaluating your health care organization’s data fitness, you need to think about how fit each data element is for its ultimate purpose.

The problems facing our health care system are numerous. As a former practicing physician, I’ve experienced first-hand what it’s like to feel pulled in 20 different directions – trying to cut costs while providing the best care possible for my patients. Now as CEO of a technology company, I have experienced the system from the other side. Even after 25 years of navigating our health care system as a physician, I found myself learning aspects of this complicated system all over again.

As I reflected on 2018, I realized how much health care played a role in many conversations. I share some of my observations regarding the current state of health care in America and attempt to make a few predictions for 2019.

In the MIPS program, there are several different sets of quality measures that are available for the Quality category. You may have heard various terms thrown around: eCQM, Registry and QCDR. Depending upon your practice's situation, one of these "collection types" (as CMS refers to them) may be better suited for your needs. Typically most practices find themselves debating on whether they should use eCQMs or Registry measures for their Quality category data requirements. So what's the difference? 

Today, we are going to review the difference between these two common measure types.

This year is sure to bring many exciting changes, and yes, some difficult challenges to the health care space. But don't get bogged down. Start your year off right by getting a jump on your regulatory requirements. 

Did you know that you should already be tracking some of your MIPS measures ? Remember that there is a greater risk and reward factor this year, so your MIPS performance is more important than ever.

Medisolv has the tools to help your organization gear up for quality reporting success. In this FREE 24-page eBook, you’ll learn about MIPS Year 3 and find all the information needed to complete the program in 2019. 

Can you believe another year has come and gone? 2018 was an interesting year in the health care space. It was full of changing policy decisions and technology innovations that will surely impact our health care system for years to come.