Imagine your health care organization is challenged with excess readmissions to the hospital. Suddenly, you find yourself on a vendor selection team to evaluate predictive analytics that will help your care management team be more proactive in transition of care planning for your patients. 

Does anyone else feel like 2019 is flying by? Before you know it the summer will come and go and you'll be staring down Q3 thinking "I haven't even thought about MIPS yet." Don't let this happen to you! Now is a perfect time to start working on your provider's performance. Remember that in MIPS, performance counts; and for the Quality and Cost categories, that performance counts for 365 days of the year.

Having a nice car wouldn't be very useful if you didn't know how to drive, right? Well, the same could be said about quality reporting software. The software is a helpful tool to have, but in order to reap its benefits, you'll need the proper guidance and support. 

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.

While it may seem like a daunting task, assessing your hospital's profitability can help you streamline operations and work toward improved financial outcomes. And with rising regulatory reporting costs and the risk of government penalties, knowing where your organization stands financially is crucial. But how do you go about getting an accurate depiction of your hospital costs? 

Implementing a case costing solution is a great way to better price the products and services that your organization provides while identifying areas for cost savings. So, to help you get started with your case costing journey, we've highlighted three common hospital case costing methodologies in the infographic below. 

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.

Every year, thousands of health care professionals descend upon one city for the biggest Health care IT conference of its kind. HIMSS is approaching quickly... are you ready for it? Over the years the number of attendees has grown. For 2019, HIMSS anticipates 50,000 conference attendees and 1,200 exhibitors.

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.