ArborMetrix Blog

Understanding the Basics of Modern Clinical Data Registries

understanding-clinical-data-registry-770x385

Healthcare’s digital transformation is long underway, yet still lagging. Calls for better and more efficient care, therapies, and outcomes have never been louder and more insistent. The role of clinical data registries has never been more significant.

It’s necessary to understand the importance of registries and how they make sense out of large volumes of disparate healthcare data to measurably improve care and advance research. Let’s start with the basics.

What is a Clinical Data Registry?

A clinical data registry, also called a patient registry or disease registry, is an interactive database that collects, organizes, and displays health care information. The purpose of a data registry is to evaluate and improve outcomes for a population defined by a particular condition, disease, or exposure.

Specifically, registries use observational study methods to collect and harmonize data about the treatment, outcomes, and well-being of patients who receive care over time. They aggregate large data sets and analyze trends or patterns in treatments and outcomes.1

Registries can serve many purposes and provide value for a variety of healthcare stakeholders. For example:

The number of registries has grown over the past several decades as healthcare information has become digitized. Yet despite their increase in use and significance, they face real challenges in establishing the participation, engagement, and utility needed to drive their sustainability.

Modern clinical data registries address these limitations by going beyond data collection and data warehousing. They rely on advanced analytics and data science to transform data into meaningful insights that are USEFUL, USABLE, and USED by a variety of stakeholders to achieve a desired outcome.

Types of Clinical Registries

Clinical registries come in many different forms. The type of registry depends on the organization managing or sponsoring it, and the patient population, disease, condition, or treatment it examines.

Here are a few examples of clinical data registries:

  • Patient Registries: Patient registries examine a specific disease or condition, such as cirrhosis or congenital heart disease. They bring together data to evaluate longitudinal outcomes, best practices, treatment guidelines, and to support research and therapeutic development. A growing number of organizations, both patient foundations and pharmaceutical organizations, are establishing patient registries to study the treatment of rare diseases and conditions such as hemophilia and other genetic diseases.

  • Specialty Registries: Many clinical registries focus on advancing care and outcomes across a medical specialty or subspecialty, such as pathology, sleep medicine, surgery, and trauma medicine. These registries often aim to develop guidelines and decision support tools, accelerate research, and advance care through collaborative quality improvement. Specialty registries also provide a mechanism for physicians and providers to report to the Centers for Medicare and Medicaid Services (CMS) under the Merit-based Incentive Payment System (MIPS) as Qualified Clinical Data Registries (QCDRs).

  • Population Registries: Some registries span both specialty care and specific diseases and conditions – and are more broadly focused across entire patient populations. These registries aim to capture the health, well-being, diagnostic, treatment, and outcome data for every patient within a population defined by demographics (age, gender, or other social determinants), geography (state, region, country and including like Health Information Exchanges and within Health Departments), or disease or condition (diabetes, cancer).

  • Device Registries: Medical device registries are focused on tracking the effectiveness, safety, and value of medical devices. Device registries come in several forms. Medical specialty organizations may collect data on various devices used for procedures or conditions, as part of their clinical data registries. Medical device companies establish registries and use registry data to support post-market surveillance.

  • Payer Registries: Healthcare payers, such as Blue Cross Blue Shield, establish registries focused on measuring and improving value by advancing outcomes and reducing costs. Payer-sponsored registries are often organized across a specific geography or region and by specialty (surgery, urology, emergency medicine, for example).

Although registry goals and purposes vary, when designed with the right approach and built with the right analytics technology, they can measurably improve care.

How are Clinical Data Registries Used?

Healthcare organizations such as medical specialty societies, patient foundations, pharmaceutical companies, and medical device manufacturers establish registries for many purposes and uses.

Purposes:

  • Quality improvement
  • Benchmarking
  • Clinical research
  • Clinical effectiveness
  • Cost effectiveness
  • Device surveillance
  • Treatment surveillance
  • Population surveillance

Uses:

  • Decision support
  • Guideline development
  • Measure development
  • Regulatory and public reporting (MACRA/MIPS, QCDR)
  • Value-based reimbursement and payment
  • Patient engagement
  • Post-market surveillance
  • Registry-based clinical trials
  • Education development
  • Certification and accreditation

What is the Value of Clinical Data Registries?

Clinical data registries are valuable when they measurably improve care and achieve results. Examples of this in action are advancing research, establishing and evaluating guidelines, or managing and reducing costs.

Achieving value happens when:

  • Physicians and providers use high quality, data-driven insights to better understand expected outcomes, make evidence-based decisions, and share best practices.
  • Patients share timely and personal data about their condition and outcomes and gain a greater understanding of their care that leads to informed shared decision-making.
  • Researchers and developers use registry data as the foundation for registry-enhanced or registry-based research, clinical trials, or post-market surveillance studies.

Registry Quality Improvement Examples

Here are a couple specific examples of registries that have achieved quality improvement and measurable value:

You can read more about how MSQC and PC4 are top examples of using clinical data registries to achieve real-world quality improvement. 

Medical Device Registry Examples

Clinical registries sponsored by medical specialty societies and patient advocacy organizations are proving to deliver tremendous value in tracking and measuring the effectiveness of medical devices and drugs. Medical device and pharmaceutical developers leverage registry data to gain insights into how their products actually perform in the real world.

Here's an example:
The Extracorporeal Life Support Organization aimed to transform its international registry into a rich data asset for ECMO device manufacturers. Through real-time access to device usage and outcomes data, coupled with advanced analytics and reporting services, device manufacturers have the tools they need for data-driven research and development, rapid regulatory submissions, and cost-effective registry-based clinical trials.

How Does a Clinical Data Registry Work?

Today’s most successful registries use healthcare analytics technology that goes beyond data collection and data warehousing and plays a crucial role in advancing care and research.

Specifically, registry technology should:

  1. Collect various data using industry-leading technology and standards.
  2. Organize disparate data into high-quality data.
  3. Transform the data into evidence using advanced analytics and data science. Enable various users to act on the evidence (registry data) using dashboards, reports, surveys and other unique decision support tools.

There is a lot that goes into each of these four essential building blocks. To learn more, read our post on The 4 Technology Essentials for Clinical Data Registries that Improve Care.

Getting Started: Leverage the Power of Clinical Data Registries

The National Quality Registry Network outlines some key considerations when approaching a clinical data registry and deciding what to outsource to a vendor. This includes your in-house availability and expertise, budget impact, convenience, and the many responsibilities that can be outsourced or kept in-house.

At ArborMetrix, we help healthcare organizations and companies demonstrate real and measurable results through robust analytics and intuitive reporting. Through our comprehensive partnerships and clinical expertise, we enable our clients to leverage their real-world evidence for real-world results.

If you have any questions or would like to learn more about our clinical data registry solutions, contact me at bmoore@arbormetrix.com.

Want to learn more about ArborMetrix clinical data registry solutions?

Learn More

Topics: quality improvement- clinical data registry

Bradley Moore, M.P.H., Director, Registry Solutions

Bradley Moore, M.P.H., Director, Registry Solutions

Bradley considers registries to be so much more than data - they are living, evolving, valuable resources that drive meaningful, measurable quality improvement. He has more than a decade of experience implementing technology solutions for nonprofits, government agencies, and healthcare organizations to help extend their value. He is driven to find innovative and high-impact solutions to healthcare’s most intractable issues.

Previous Post

4 Technology Essentials for Patient Registries that Improve Care [2020]

Next Post

Top 3 Takeaways from the 2020 CMS Quality Conference

Related Posts