title: Developing electronic data methods infrastructure to participate in collaborative research networks.
abstract: BACKGROUND
  Collaborative networks support the goals of a learning health system by sharing, aggregating, and analyzing data to facilitate identification of best practices care across delivery organizations. This case study describes the infrastructure and process developed by an integrated health delivery system to successfully prepare and submit a complex data set to a large national collaborative network.
  
  
  METHODS
  We submitted four years of data for a diverse population of patients in specific clinical areas: diabetes, chronic heart failure, sepsis, and hip, knee, and spine. The most recent submission included 19 tables, more than 376,000 unique patients, and almost 5 million patient encounters. Data was extracted from multiple clinical and administrative systems.
  
  
  CONCLUSIONS
  We found that a structured process with documentation was key to maintaining communication, timelines, and quality in a large-scale data submission to a national collaborative network. The three key components of this process were the experienced project team, documentation, and communication. We used a formal QA and feedback process to track and review data. Overall, the data submission was resource intensive and required an incremental approach to data quality.
  
  
  CONCLUSIONS
  Participation in collaborative networks can be time and resource intense, however it can serve as a catalyst to increase the technical data available to the learning health system.
authors.affiliation: Baylor Scott & White Health.
authors.forename: Elisa L
authors.initials: EL
authors.lastname: Priest
authors.affiliation: Baylor Scott & White Health.
authors.forename: Christopher
authors.initials: C
authors.lastname: Klekar
authors.affiliation: Baylor Scott & White Health.
authors.forename: Gabriela
authors.initials: G
authors.lastname: Cantu
authors.affiliation: Baylor Scott & White Health.
authors.forename: Candice
authors.initials: C
authors.lastname: Berryman
authors.affiliation: Baylor Scott & White Health.
authors.forename: Gina
authors.initials: G
authors.lastname: Garinger
authors.affiliation: Baylor Scott & White Health.
authors.forename: Lauren
authors.initials: L
authors.lastname: Hall
authors.affiliation: Baylor Scott & White Health.
authors.forename: Maria
authors.initials: M
authors.lastname: Kouznetsova
authors.affiliation: Baylor Scott & White Health.
authors.forename: Rustam
authors.initials: R
authors.lastname: Kudyakov
authors.affiliation: Baylor Scott & White Health.
authors.forename: Andrew
authors.initials: A
authors.lastname: Masica
keywords: Informatics; Learning Health System; Methods
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