Aggregating Multiple Real-World Data Sources using a Patient-Centered Health Data Sharing Platform: an 8-week Cohort Study among Patients Undergoing Bariatric Surgery or Catheter Ablation of Atrial Fibrillation

Sanket S. Dhruva; Joseph S. Ross; Joseph G. Akar; Brittany Caldwell; Karla Childers; Wing Chow; Laura Ciaccio; Paul Coplan; Jun Dong; Hayley J. Dykhoff; Stephen Johnston; Todd Kellogg; Cynthia Long; Peter A. Noseworthy; Kurt Roberts; Anindita Saha; Andrew Yoo; Nilay D. Shah

doi:10.1101/19010348

Aggregating Multiple Real-World Data Sources using a Patient-Centered Health Data Sharing Platform: an 8-week Cohort Study among Patients Undergoing Bariatric Surgery or Catheter Ablation of Atrial Fibrillation

Sanket S. Dhruva, Joseph S. Ross (Lead / Corresponding author), Joseph G. Akar, Brittany Caldwell, Karla Childers, Wing Chow, Laura Ciaccio, Paul Coplan, Jun Dong, Hayley J. Dykhoff, Stephen Johnston, Todd Kellogg, Cynthia Long, Peter A. Noseworthy, Kurt Roberts, Anindita Saha, Andrew Yoo, Nilay D. Shah

Population Health and Genomics

Research output: Working paper/Preprint › Preprint

Abstract

Real-world data sources, including electronic health records (EHR) and personal digital device data, are increasingly available, but are often siloed and cannot be easily integrated for clinical, research, or regulatory purposes. We conducted a prospective cohort study of 60 patients undergoing bariatric surgery or catheter-based atrial fibrillation ablation at two U.S. tertiary care hospitals, testing the feasibility of using a patient-centered health data sharing platform to obtain and aggregate health data from multiple sources. We successfully obtained EHR data for all patients at both hospitals, as well as from 10 additional health systems, which were successfully aggregated with pharmacy data obtained for patients using CVS or Walgreens pharmacies, personal digital device data from activity monitors, digital weight scales, and single-lead ECGs, and patient-reported outcome measure data obtained through surveys to assess post-procedure recovery and disease-specific symptoms. A patient-centered health data sharing platform successfully aggregated data from multiple sources.

Original language	English
Publisher	medRxiv
Number of pages	31
DOIs	https://doi.org/10.1101/19010348
Publication status	Published - 2 Nov 2019

Keywords

health informatics

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10.1101/19010348Licence: CC BY-NC-ND

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Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
Dhruva, S. S., Ross, J. S. (Lead / Corresponding author), Akar, J. G., Caldwell, B., Childers, K., Chow, W., Ciaccio, L., Coplan, P., Dong, J., Dykhoff, H. J., Johnston, S., Kellogg, T., Long, C., Noseworthy, P. A., Roberts, K., Saha, A., Yoo, A. & Shah, N. D., 20 Apr 2020, In: npj Digital Medicine. 3, 9 p., 60.
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Dhruva, S. S., Ross, J. S., Akar, J. G., Caldwell, B., Childers, K., Chow, W., Ciaccio, L., Coplan, P., Dong, J., Dykhoff, H. J., Johnston, S., Kellogg, T., Long, C., Noseworthy, P. A., Roberts, K., Saha, A., Yoo, A., & Shah, N. D. (2019). Aggregating Multiple Real-World Data Sources using a Patient-Centered Health Data Sharing Platform: an 8-week Cohort Study among Patients Undergoing Bariatric Surgery or Catheter Ablation of Atrial Fibrillation. medRxiv. https://doi.org/10.1101/19010348

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abstract = "Real-world data sources, including electronic health records (EHR) and personal digital device data, are increasingly available, but are often siloed and cannot be easily integrated for clinical, research, or regulatory purposes. We conducted a prospective cohort study of 60 patients undergoing bariatric surgery or catheter-based atrial fibrillation ablation at two U.S. tertiary care hospitals, testing the feasibility of using a patient-centered health data sharing platform to obtain and aggregate health data from multiple sources. We successfully obtained EHR data for all patients at both hospitals, as well as from 10 additional health systems, which were successfully aggregated with pharmacy data obtained for patients using CVS or Walgreens pharmacies, personal digital device data from activity monitors, digital weight scales, and single-lead ECGs, and patient-reported outcome measure data obtained through surveys to assess post-procedure recovery and disease-specific symptoms. A patient-centered health data sharing platform successfully aggregated data from multiple sources.",

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author = "Dhruva, {Sanket S.} and Ross, {Joseph S.} and Akar, {Joseph G.} and Brittany Caldwell and Karla Childers and Wing Chow and Laura Ciaccio and Paul Coplan and Jun Dong and Dykhoff, {Hayley J.} and Stephen Johnston and Todd Kellogg and Cynthia Long and Noseworthy, {Peter A.} and Kurt Roberts and Anindita Saha and Andrew Yoo and Shah, {Nilay D.}",

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Dhruva, SS, Ross, JS, Akar, JG, Caldwell, B, Childers, K, Chow, W, Ciaccio, L, Coplan, P, Dong, J, Dykhoff, HJ, Johnston, S, Kellogg, T, Long, C, Noseworthy, PA, Roberts, K, Saha, A, Yoo, A & Shah, ND 2019 'Aggregating Multiple Real-World Data Sources using a Patient-Centered Health Data Sharing Platform: an 8-week Cohort Study among Patients Undergoing Bariatric Surgery or Catheter Ablation of Atrial Fibrillation' medRxiv. https://doi.org/10.1101/19010348

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Aggregating Multiple Real-World Data Sources using a Patient-Centered Health Data Sharing Platform: an 8-week Cohort Study among Patients Undergoing Bariatric Surgery or Catheter Ablation of Atrial Fibrillation

Abstract

Keywords

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Research output

Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform

Cite this