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

Abstract 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 under...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/5e07bfbeda874cca845ab8814d561e86
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5e07bfbeda874cca845ab8814d561e86
record_format	dspace
spelling	oai:doaj.org-article:5e07bfbeda874cca845ab8814d561e862021-12-02T18:27:51ZAggregating multiple real-world data sources using a patient-centered health-data-sharing platform10.1038/s41746-020-0265-z2398-6352https://doaj.org/article/5e07bfbeda874cca845ab8814d561e862020-04-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0265-zhttps://doaj.org/toc/2398-6352Abstract 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.Sanket S. DhruvaJoseph S. RossJoseph G. AkarBrittany CaldwellKarla ChildersWing ChowLaura CiaccioPaul CoplanJun DongHayley J. DykhoffStephen JohnstonTodd KelloggCynthia LongPeter A. NoseworthyKurt RobertsAnindita SahaAndrew YooNilay D. ShahNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 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 Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
description	Abstract 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.
format	article
author	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
author_facet	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
author_sort	Sanket S. Dhruva
title	Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
title_short	Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
title_full	Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
title_fullStr	Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
title_full_unstemmed	Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
title_sort	aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/5e07bfbeda874cca845ab8814d561e86
work_keys_str_mv	AT sanketsdhruva aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT josephsross aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT josephgakar aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT brittanycaldwell aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT karlachilders aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT wingchow aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT lauraciaccio aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT paulcoplan aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT jundong aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT hayleyjdykhoff aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT stephenjohnston aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT toddkellogg aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT cynthialong aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT peteranoseworthy aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT kurtroberts aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT aninditasaha aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT andrewyoo aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform AT nilaydshah aggregatingmultiplerealworlddatasourcesusingapatientcenteredhealthdatasharingplatform
_version_	1718377978500481024

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

Ejemplares similares