Evidence map›Paper›PMID 34313748›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report.

Guoqian Jiang, Sanket S Dhruva, Jiajing Chen, Wade L Schulz, Amit A Doshi, Peter A Noseworthy, Shumin Zhang, Yue Yu, H Patrick Young, Eric Brandt and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  6. Using real-world data from health systems to evaluate the safety and effectiveness of a catheter to treat ischemic ventricular tachycardia.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Guoqian JiangDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Sanket S DhruvaSchool of Medicine, University of California, San Francisco, and San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.ORCID 0000-0003-0674-2032
Jiajing ChenMercy Research, Mercy, Chesterfield, Missouri, USA.
Wade L SchulzDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Amit A DoshiMercy Clinic, Mercy, St. Louis, Missouri, USA.
Peter A NoseworthyDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Shumin ZhangMedical Device Epidemiology and Real-World Data Science, Office of the Chief Medical Officer, Johnson & Johnson, New Brunswick, New Jersey, USA.
Yue YuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
H Patrick YoungDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-0879-8120
Eric BrandtMercy Research, Mercy, Chesterfield, Missouri, USA.
Keondae R ErvinNational Evaluation System for Health Technology Coordinating Center, Medical Device Innovation Consortium, Arlington, Virginia, USA.
Nilay D ShahRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
Joseph S RossCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA.
Paul CoplanMedical Device Epidemiology and RWD Science, Office of the Chief Medical Officer, Johnson & Johnson, New Brunswick, New Jersey, USA.
Joseph P DrozdaMercy Research, Mercy, Chesterfield, Missouri, USA.ORCID 0000-0001-9181-8534

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NESTcc Renewal -Continuation of the National Evaluation System for Health Technology (NEST) Coordinating Center (CC)U01FD006292 · FDA · MEDICAL DEVICE INNOVATION CONSORTIUM · PI SMITH, RICHARD · 2018 to 2025
$76.1M
Yale-Mayo FDA Center for Excellence in Regulatory Science and InnovationU01FD005938 · FDA · YALE UNIVERSITY · PI Joseph Solomon Ross · 2016 to 2026
$25.4M
UCSF Career Development Program in Implementation Research in Heart and Lung DiseasesK12HL138046 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN, CATTAMANCHI, ADITHYA · 2017 to 2021
$2.9M
Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
Optimizing stroke prevention for older adults with atrial fibrillation: Towards rigorous evaluation and judicious application of a new deviceR01AG062436 · NIA · MAYO CLINIC ROCHESTER · PI NOSEWORTHY, PETER A, YAO, XIAOXI · 2020 to 2024
$2.5M
Leveraging Physician Networks to Improve Care and Outcomes for Low-Income PopulationsR01HL144644 · NHLBI · YALE UNIVERSITY · PI NDUMELE, CHIMA · 2019 to 2021
$1.6M
Optimizing Medical Device Post-Market Surveillance for Public ValueU01FD004585 · FDA · YALE UNIVERSITY · PI KRUMHOLZ, HARLAN MARC · 2012 to 2016
$592k
Pairing Observational and Patient-level Clinical Trial Data to Assess Cardiovascular Risk Reduction with Catheter Ablation for Atrial FibrillationR21HL140205 · NHLBI · MAYO CLINIC ROCHESTER · PI NOSEWORTHY, PETER A, YAO, XIAOXI · 2017 to 2018
$256k
AHRQ HHS R01HS022882FDA HHS 1U01FD006292FDA HHS U01FD004585FDA HHS U01FD005938FDA HHS U01 FD006292NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K12 HL138046NHLBI NIH HHS R01HS025164, R01HL144644NHLBI NIH HHS R21HL 140205-2, R01HL 143070-2, R01HL 131535-4NIA NIH HHS R01AG 062436-1
6 · The paper itself

Abstract

objectiveThe study sought to conduct an informatics analysis on the National Evaluation System for Health Technology Coordinating Center test case of cardiac ablation catheters and to demonstrate the role of informatics approaches in the feasibility assessment of capturing real-world data using unique device identifiers (UDIs) that are fit for purpose for label extensions for 2 cardiac ablation catheters from the electronic health records and other health information technology systems in a multicenter evaluation. MATERIALS AND

methodsWe focused on data capture and transformation and data quality maturity model specified in the National Evaluation System for Health Technology Coordinating Center data quality framework. The informatics analysis included 4 elements: the use of UDIs for identifying device exposure data, the use of standardized codes for defining computable phenotypes, the use of natural language processing for capturing unstructured data elements from clinical data systems, and the use of common data models for standardizing data collection and analyses.

resultsWe found that, with the UDI implementation at 3 health systems, the target device exposure data could be effectively identified, particularly for brand-specific devices. Computable phenotypes for study outcomes could be defined using codes; however, ablation registries, natural language processing tools, and chart reviews were required for validating data quality of the phenotypes. The common data model implementation status varied across sites. The maturity level of the key informatics technologies was highly aligned with the data quality maturity model.

conclusionsWe demonstrated that the informatics approaches can be feasibly used to capture safety and effectiveness outcomes in real-world data for use in medical device studies supporting label extensions.

Indexed as

Electronic Health RecordsHealth Information SystemsFeasibility StudiesInformaticsNatural Language Processingcardiac ablation cathetersinformatics analysismedical device evaluationreal-world evidenceRWEUDIunique device identifier

Identifiers

PMID34313748
PMCPMC8449615

What OpenQuestion holds

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Registered trials

None linked

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.