Model / Framework

The NQRN Registry Maturational Framework: Evaluating the Capability and Use of Clinical Registries

Authors:

Abstract

Clinical registries are increasingly used as national performance measurement platforms. In 2018, nearly 70 percent of the more than 50 specialty society registries in the United States were used by the Centers for Medicare & Medicaid Services (CMS) to measure the quality of clinical care. Private payers and evaluating organizations also use or desire to use registry information to inform quality improvement programs and value-based payment models.

The requirements for an entity to become a CMS Qualified Clinical Data Registry (QCDR) constitute a minimum set of standards for the purpose of reporting to the CMS Quality Payment Program. Models and frameworks exist that can help classify registries by purpose and use, and maturity models are available for evaluating health IT systems generally. However, there is currently no framework that describes the capability that should be expected from a registry at different phases of its development and maturity.

In response, the National Quality Registry Network (NQRN) has developed a registry maturational framework. The framework models early, intermediate and mature development phases, the capabilities anticipated during these phases and 17 domains across which registry programs support those capabilities. The framework was developed and refined by NQRN registry stewards, users and other stakeholders between 2013–2018. It is intended to be used as a developmental guide or for registry evaluation. The successful use of registry information to execute value-based payment models is a critical need in U.S. health care. The NQRN framework can help ensure that our national system of registries is rising to the occasion.

Keywords:

RegistriesClinical RegistriesPatient RegistriesClinical Data RegistriesQualified Clinical Data RegistriesQCDRsElectronic Health RecordsEHRsQuality ImprovementHealth Information ExchangeHealth Services ResearchData Collection
  • Year: 2019
  • Volume: 7 Issue: 1
  • Page/Article: 29
  • DOI: 10.5334/egems.278
  • Submitted on 29 Jun 2018
  • Accepted on 12 Jun 2019
  • Published on 17 Jul 2019
  • Peer Reviewed