Improving care seems like a monumental undertaking. It sounds expensive. It sounds overwhelming. But the good news is, if you have a clinical data registry, improving healthcare delivery and advancing research has never been more achievable.
Here are three technology essentials to consider when designing, building, and managing a clinical registry that will get you moving closer to measuring and improving care.
Running a successful clinical registry, also called a patient registry or disease registry, is a significant undertaking that requires the right technology and the right approach. Today’s most valued and most effective registries use healthcare analytics that go beyond data hoarding and warehousing, and set the stage to play a crucial role in advancing care and research.
Specifically, registry technology should cover three essentials:
Successful data acquisition creates a complete (and sometimes large) data set. Two key aspects of this step include data sources and data integration technologies.
Registries that achieve measurable results rely on a diverse and complete data set. They harmonize data from many sources, including:
In order to drive participation, registries must use efficient electronic data collection methods that leverage industry standards and minimize workflow burden.
To accomplish this, registry technology should support:
Importantly, successful registries should base their data acquisition strategy on their goals and purpose – not just the data most readily or easily available to them. Focusing on what you need rather than on what you can get will point your registry at a purpose that will yield long-term success.
Transforming your raw data assets into high-quality, research-grade information requires a few key steps.
Once data has been collected, it needs to be organized, validated, quality-checked, and cleaned. The goal is to ensure data are as accurate and complete as possible before analytic transformation. For example, our automated data validation step includes flagging duplicate and incomplete records, and incorrect information (such as a patient born in the 1800s or who is 10 feet tall), and scrubbing the data or notifying the source of the error to be corrected. This ensures your data assets are not only solely valued for “quantity” but are also of the highest quality.
After data cleaning and validation, applying advanced analytics ensures data and reports are credible and trusted, and can be used for research publication, quality improvement, regulatory reporting, post-market surveillance, and more.
How do you use analytics to ensure measurement is fair, trusted, and engaging?
Specific methodological and statistical tools we use include:
While leveraging analytics and data science unleashes the value of your registry data, making data and reports accessible, engaging, and easily understood unlocks the value of your mission. We think of your registry participants and end-users as everyday people who have a wide exposure to a variety of digital experiences.
When it comes to engaging with your registry, participants:
Our focus on user experience ensures that every persona can get value from the data, whether their needs are simple or complex. A few of the specific reporting features we use in our registry platform to drive patient engagement and support analysis include:
Beyond reporting and data visualizations, registries can harness emerging tools and technologies to add utility and value to their programs.
Patient data informs a more complete view of quality, smoothing the gaps between clinical visits documented in the EHR, and helps you achieve even greater results. Modern patient-reported outcomes surveys and engagement tools allow you to collect the right data from the right patient at the right time.
Bringing together clinical data and patient-reported outcomes creates a powerful asset. Outcomes calculators use predictive analytics to intelligently combine registry data to predict outcomes, risks, and results of procedures, therapies, and treatments. This enables physicians to make data-driven decisions and empowers patients to engage in informed conversations about their outcomes.
Supporting CMS quality reporting not only drives quality improvement but also extends business value to registries. Physicians and other providers can use registries to report under the CMS MIPS program across all reporting categories, via a Qualified Clinical Data Registry (QCDR) or Qualified Registry (QR). By selecting and reporting on meaningful, clinically-relevant measures, monitoring performance rates, and reviewing estimated MIPS scores, they will understand their expected reimbursements in these programs.
These three essential steps to a successful registry are complex but achievable. ArborMetrix has built strong partnerships with our clients that put acquiring, organizing, analyzing, and acting on data at the center of their registry strategy.
Our clinical registry platform and our strategy and partnership, put these goals in their grasp. We bring our proven strengths in delivering clinical data registries that lead to scientific findings and actionable insights that have a real impact on real people.
Check out the following articles for more like this.