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Case study

Developing Electronic Data Methods Infrastructure to Participate in Collaborative Research Networks

Authors:

Elisa L. Priest ,

Baylor Scott & White Health
About Elisa L.
DrPH, MPH
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Christopher Klekar,

Baylor Scott & White Health
About Christopher
MPH
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Gabriela Cantu,

Baylor Scott & White Health
About Gabriela
MPH
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Candice Berryman,

Baylor Scott & White Health
About Candice
MBA
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Gina Garinger,

Baylor Scott & White Health
About Gina
MBA
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Lauren Hall,

Baylor Scott & White Health
About Lauren
MPH
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Maria Kouznetsova,

Baylor Scott & White Health
About Maria
PhD, MPH
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Rustam Kudyakov,

Baylor Scott & White Health
About Rustam
MD, MPH
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Andrew Masica

Baylor Scott & White Health.
About Andrew
MD, MSCI
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Abstract

Context: 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.

Case Description: 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.

Lessons Learned: 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.

Conclusion: 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.

How to Cite: Priest EL, Klekar C, Cantu G, Berryman C, Garinger G, Hall L, et al.. Developing Electronic Data Methods Infrastructure to Participate in Collaborative Research Networks. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2014;2(1):18. DOI: http://doi.org/10.13063/2327-9214.1126
Published on 02 Dec 2014.
Peer Reviewed

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