Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
| Autor: | Jun Dong, Karla Childers, Peter A. Noseworthy, Andrew Yoo, Kurt E. Roberts, Hayley J. Dykhoff, Anindita Saha, Paul Coplan, Joseph S. Ross, Stephen S. Johnston, Joseph G. Akar, Wing Chow, Laura Ciaccio, Todd A. Kellogg, Cynthia Long, Sanket S. Dhruva, Nilay Shah, Brittany Caldwell |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Computer applications to medicine. Medical informatics R858-859.7 Medicine (miscellaneous) Health Informatics Pharmacy 030204 cardiovascular system & hematology lcsh:Computer applications to medicine. Medical informatics computer.software_genre Article Health data 03 medical and health sciences 0302 clinical medicine Data acquisition Health Information Management medicine 030212 general & internal medicine Digital device business.industry Outcome measures medicine.disease Computer Science Applications lcsh:R858-859.7 Data integration Medical emergency business Real world data computer Patient centered |
| Zdroj: | npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020) NPJ Digital Medicine |
| ISSN: | 2398-6352 |
| DOI: | 10.1038/s41746-020-0265-z |
| Popis: | Real-world data sources, including electronic health records (EHRs) 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 ten 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. |
| Databáze: | OpenAIRE |
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