One of the aims of the Medicare Access and CHIP Reauthorization Act (MACRA) was to alleviate pain healthcare providers experience as a result of quality measures reporting requirements. Although MACRA was designed to streamline performance reporting by consolidating programs – including the Physician Quality Reporting System (PQRS), the Value Modifier Program, and the Medicare Electronic Health Record (EHR) Incentive Program – compliance with MACRA’s quality reporting requirements is still, as expected, a challenge for clinicians and providers across the industry. Therefore, outsourcing quality measures abstraction remains a good option for healthcare providers because it allows for better use of internal resources to do what healthcare professionals do best: Take care of patients.
Here are three things to consider when selecting a partner for data abstraction outsourcing:
1. Expertise in quality measure abstraction.
How much experience does a candidate have in core measure abstraction? Have they been through iterations and proven they can easily adapt as guidelines change? These are important questions to ask when considering a partnership. Primaris, for example, performs more than 10,000 data abstractions per month and has four decades of experience in quality improvement initiatives, abstraction, and the journey to value-based care. This contributes to our data abstractors being able to deliver accurate information to hospitals and physicians across the country. The point is, if accuracy is important to you, be sure to weigh the level of experience companies have as you vet potential partners.
2. Knowledge of quality improvement principles.
Your data will be more actionable if you work with a company that has proven its knowledge of quality improvement principles. You should expect to receive not only hard data, but also analysis and information that you can use to make adjustments and achieve better results.
Also be sure to check whether your data is ARTA. That's our acronym for accurate, reliable, timely, and actionable data. (Here's a plethora of valuable resources: The 7 Stages of the Health Data Life Cycle.)
3. Real-time feedback and suggestions.
How fast will you see feedback once data is abstracted? Timely information is necessary so you can correct problems before they negatively impact quality levels and payments. If you receive real-time feedback and suggestions on how to respond to issues, you can make improvements and keep on course. Be sure to investigate whether prospects have the capability to provide immediate feedback, or whether there will be a lot of lag time.
MACRA has not yet lessened the reporting burden. That means it's even more important now to have a firm grip of data abstraction. Finding the right partner – a company that is experienced and can apply data to achieve real change – can make a big difference in driving positive outcomes and financial success.
Drowning in abstraction demands? Email us today at email@example.com to discuss how outsourcing your data abstractions can benefit your facility. Primaris takes care of your data so you can take care of what matters most to you: Your patients.