ArticleNPJ digital medicine2020
Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform.
Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03436082 (Post-Market Surveillance With a Novel mHealth Platform), which is not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Post-Market Surveillance With a Novel mHealth Platform
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.
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- Patient-reported outcomes in radiotherapy (PRO-RT) utilizing an integrated patient portal; results from a prospective single-arm trial.JAMIA open · 2026Article
- Empowering multi-source cohort data integration and sharing in the China Cohort Consortium.The Lancet regional health. Western Pacific · 2026Article
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- A novel federated learning framework for medical imaging: Resource-efficient approach combining PCA with early stopping.Medical physics · 2025Article
- Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review.Journal of medical Internet research · 2025Article
- Trauma systems in high socioeconomic index countries in 2050.Critical care (London, England) · 2024Review
- Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study.BMJ open · 2024Article
- Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review.Journal of the American Heart Association · 2023Article
- Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform.NPJ digital medicine · 2022Article
- Data capture and sharing in the COVID-19 pandemic: a cause for concern.The Lancet. Digital health · 2022Review
- PreBMJ open · 2022Article
- Medication Use and Clinical Outcomes by the Dutch Institute for Clinical Auditing Medicines Program: Quantitative Analysis.Journal of medical Internet research · 2022Article
- How can real-world evidence aid decision making during the life cycle of nonprescription medicines?Clinical and translational science · 2022Review
- Use of real-world data and clinical registries to identify new uses of existing vascular endografts: combined use of GORE EXCLUDER Iliac Branch Endoprosthesis and GORE VIABAHN VBX Balloon Expandable Endoprosthesis.BMJ surgery, interventions, & health technologies · 2022Article
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- Cancer Needs a Robust "Metadata Supply Chain" to Realize the Promise of Artificial Intelligence.Cancer research · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 8 institutions in 1 country.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.