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When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
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Generating Real-World Evidence From the Excellence Network in Rheumatology.

Timothy Beukelman1, Amy Mudano2, Patrick Stewart2

  • 1Foundation for Advancing Science, Technology, Education, and Research (FASTER), Birmingham, Alabama, USA.

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Summary
This summary is machine-generated.

The Excellence Network in Rheumatology (ENRGY) is a practice-based research network (PBRN) using aggregated electronic health records and patient-generated data. This infrastructure facilitates efficient multi-center studies in rheumatology and beyond.

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Area of Science:

  • Rheumatology
  • Health Informatics
  • Clinical Research

Background:

  • The Excellence Network in Rheumatology (ENRGY) was established in 2021.
  • It comprises over 700 private practice rheumatology providers across the US.
  • ENRGY functions as a practice-based research network (PBRN).

Purpose of the Study:

  • To aggregate and analyze electronic health record (EHR) data from diverse rheumatology practices.
  • To enhance the efficiency and quality of multi-center prospective studies.
  • To leverage technology services for improved patient care within the network.

Main Methods:

  • Aggregating structured and unstructured EHR data from multiple platforms.
  • Implementing data quality measures to ensure high-quality clinical data capture.
  • Utilizing linked administrative claims and patient-generated health data (smartphone app, biosensors).

Main Results:

  • ENRGY's data warehouse integrates EHR, claims, and patient-generated health data.
  • The infrastructure supports site identification, patient recruitment, and study conduct.
  • Centralized data management and participant contact streamline research processes.

Conclusions:

  • ENRGY data and infrastructure facilitate efficient prospective studies.
  • The network serves as a model for other specialties in establishing PBRNs.
  • It demonstrates the potential of data linkages and patient-generated data in research.