Evidence map›Paper›PMID 34897506›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Enhancing PCORnet Clinical Research Network data completeness by integrating multistate insurance claims with electronic health records in a cloud environment aligned with CMS security and privacy requirements.

Lemuel R Waitman, Xing Song, Dammika Lakmal Walpitage, Daniel C Connolly, Lav P Patel, Mei Liu, Mary C Schroeder, Jeffrey J VanWormer, Abu Saleh Mosa, Ernest T Anye and 1 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Towards Early Prediction of Amyotrophic Lateral Sclerosis Empowered by Machine Learning and Clinical Big Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
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  12. Association of prior treatment with nitrogen-containing bisphosphonates on outcomes of COVID-19 positive patients.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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  17. Research data warehouse best practices: catalyzing national data sharing through informatics innovation.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
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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

11 authors.

Lemuel R WaitmanDepartment of Health Informatics, University of Missouri School of Medicine, Columbia, Missouri, USA.
Xing SongDepartment of Health Informatics, University of Missouri School of Medicine, Columbia, Missouri, USA.ORCID 0000-0002-3712-2904
Dammika Lakmal WalpitageDepartment of Internal Medicine, Enterprise Analytics, University of Kansas Medical Center, Kansas City, Kansas, USA.
Daniel C ConnollyDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
Lav P PatelDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0002-8626-137X
Mei LiuDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0002-8036-2110
Mary C SchroederDivision of Health Services Research, Department of Pharmacy Practice and Science, University of Iowa, Iowa City, Iowa, USA.
Jeffrey J VanWormerCenter for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA.
Abu Saleh MosaDepartment of Health Informatics, University of Missouri School of Medicine, Columbia, Missouri, USA.
Ernest T AnyeOffice of Information Security, University of Missouri Health, Columbia, Missouri, USA.
Ann M DavisDepartment of Pediatrics, University of Kansas Medical Center, Kansas City, Kansas, USA.

Funding

RADx-UP: Improving the Response of Local Urban and Rural Communities to Disparities in Covid-19 TestingUL1TR002366 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mario Castro, JAMES STEVEN LEEDER · 2017 to 2026
$44.3M
NCATS NIH HHS UL1 TR002366NIH HHS UL1TR002366Patient-Centered Outcomes Research Institute RI-CRN-2020-003-IC
6 · The paper itself

Abstract

objectiveThe Greater Plains Collaborative (GPC) and other PCORnet Clinical Data Research Networks capture healthcare utilization within their health systems. Here, we describe a reusable environment (GPC Reusable Observable Unified Study Environment [GROUSE]) that integrates hospital and electronic health records (EHRs) data with state-wide Medicare and Medicaid claims and assess how claims and clinical data complement each other to identify obesity and related comorbidities in a patient sample. MATERIALS AND

methodsEHR, billing, and tumor registry data from 7 healthcare systems were integrated with Center for Medicare (2011-2016) and Medicaid (2011-2012) services insurance claims to create deidentified databases in Informatics for Integrating Biology & the Bedside and PCORnet Common Data Model formats. We describe technical details of how this federally compliant, cloud-based data environment was built. As a use case, trends in obesity rates for different age groups are reported, along with the relative contribution of claims and EHR data-to-data completeness and detecting common comorbidities.

resultsGROUSE contained 73 billion observations from 24 million unique patients (12.9 million Medicare; 13.9 million Medicaid; 6.6 million GPC patients) with 1 674 134 patients crosswalked and 983 450 patients with body mass index (BMI) linked to claims. Diagnosis codes from EHR and claims sources underreport obesity by 2.56 times compared with body mass index measures. However, common comorbidities such as diabetes and sleep apnea diagnoses were more often available from claims diagnoses codes (1.6 and 1.4 times, respectively).

conclusionGROUSE provides a unified EHR-claims environment to address health system and federal privacy concerns, which enables investigators to generalize analyses across health systems integrated with multistate insurance claims.

Indexed as

Electronic Health RecordsPrivacyAgedCenters for Medicare and Medicaid Services, U.S.HumansMedicareObesityUnited StatesAmazon Web Services private cloudCenters for Medicare and Medicaid Servicescloud computingelectronic health recordsobesityPatient-Centered Outcomes Research InstitutePCORnet

Identifiers

PMID34897506
PMCPMC8922172

What OpenQuestion holds

Textmetadata
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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.