Literature DB >> 34897506

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 Waitman1, Xing Song1, Dammika Lakmal Walpitage2, Daniel C Connolly3, Lav P Patel3, Mei Liu3, Mary C Schroeder4, Jeffrey J VanWormer5, Abu Saleh Mosa1, Ernest T Anye6, Ann M Davis7,8.   

Abstract

OBJECTIVE: The 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 METHODS: EHR, 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.
RESULTS: GROUSE 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).
CONCLUSION: GROUSE 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.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Amazon Web Services private cloud; Centers for Medicare and Medicaid Services; PCORnet; Patient-Centered Outcomes Research Institute; cloud computing; electronic health records; obesity

Mesh:

Year:  2022        PMID: 34897506      PMCID: PMC8922172          DOI: 10.1093/jamia/ocab269

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  20 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Experiences Building Globus Genomics: A Next-Generation Sequencing Analysis Service using Galaxy, Globus, and Amazon Web Services.

Authors:  Ravi K Madduri; Dinanath Sulakhe; Lukasz Lacinski; Bo Liu; Alex Rodriguez; Kyle Chard; Utpal J Dave; Ian T Foster
Journal:  Concurr Comput       Date:  2014-09-10       Impact factor: 1.536

3.  The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized-A New Paradigm in Large-Scale Computational Research.

Authors:  Jessica W Lau; Erik Lehnert; Anurag Sethi; Raunaq Malhotra; Gaurav Kaushik; Zeynep Onder; Nick Groves-Kirkby; Aleksandar Mihajlovic; Jack DiGiovanna; Mladen Srdic; Dragan Bajcic; Jelena Radenkovic; Vladimir Mladenovic; Damir Krstanovic; Vladan Arsenijevic; Djordje Klisic; Milan Mitrovic; Igor Bogicevic; Deniz Kural; Brandi Davis-Dusenbery
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

4.  Exploration of PCORnet Data Resources for Assessing Use of Molecular-Guided Cancer Treatment.

Authors:  Ryan M Carnahan; Lemuel R Waitman; Mary E Charlton; Mary C Schroeder; Aaron D Bossler; W Scott Campbell; James R Campbell; Bradley D McDowell; Nicholas C Smith; Brian M Gryzlak; Elizabeth A Chrischilles
Journal:  JCO Clin Cancer Inform       Date:  2020-08

5.  Harnessing cloud computing with Galaxy Cloud.

Authors:  Enis Afgan; Dannon Baker; Nate Coraor; Hiroki Goto; Ian M Paul; Kateryna D Makova; Anton Nekrutenko; James Taylor
Journal:  Nat Biotechnol       Date:  2011-11-08       Impact factor: 54.908

6.  Accrual to Clinical Trials (ACT): A Clinical and Translational Science Award Consortium Network.

Authors:  Shyam Visweswaran; Michael J Becich; Vincent S D'Itri; Elaina R Sendro; Douglas MacFadden; Nicholas R Anderson; Karen A Allen; Dipti Ranganathan; Shawn N Murphy; Elaine H Morrato; Harold A Pincus; Robert Toto; Gary S Firestein; Lee M Nadler; Steven E Reis
Journal:  JAMIA Open       Date:  2018-08-21

7.  Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.

Authors:  Xing Song; Alan S L Yu; John A Kellum; Lemuel R Waitman; Michael E Matheny; Steven Q Simpson; Yong Hu; Mei Liu
Journal:  Nat Commun       Date:  2020-11-09       Impact factor: 14.919

8.  Coding of obesity in administrative hospital discharge abstract data: accuracy and impact for future research studies.

Authors:  Billie-Jean Martin; Guanmin Chen; Michelle Graham; Hude Quan
Journal:  BMC Health Serv Res       Date:  2014-02-13       Impact factor: 2.655

9.  The SMART IRB platform: A national resource for IRB review for multisite studies.

Authors:  Nichelle Cobb; Elizabeth Witte; Maria Cervone; Aaron Kirby; Douglas MacFadden; Lee Nadler; Barbara E Bierer
Journal:  J Clin Transl Sci       Date:  2019-07-29

10.  The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.

Authors:  Melissa A Haendel; Christopher G Chute; Tellen D Bennett; David A Eichmann; Justin Guinney; Warren A Kibbe; Philip R O Payne; Emily R Pfaff; Peter N Robinson; Joel H Saltz; Heidi Spratt; Christine Suver; John Wilbanks; Adam B Wilcox; Andrew E Williams; Chunlei Wu; Clair Blacketer; Robert L Bradford; James J Cimino; Marshall Clark; Evan W Colmenares; Patricia A Francis; Davera Gabriel; Alexis Graves; Raju Hemadri; Stephanie S Hong; George Hripscak; Dazhi Jiao; Jeffrey G Klann; Kristin Kostka; Adam M Lee; Harold P Lehmann; Lora Lingrey; Robert T Miller; Michele Morris; Shawn N Murphy; Karthik Natarajan; Matvey B Palchuk; Usman Sheikh; Harold Solbrig; Shyam Visweswaran; Anita Walden; Kellie M Walters; Griffin M Weber; Xiaohan Tanner Zhang; Richard L Zhu; Benjamin Amor; Andrew T Girvin; Amin Manna; Nabeel Qureshi; Michael G Kurilla; Sam G Michael; Lili M Portilla; Joni L Rutter; Christopher P Austin; Ken R Gersing
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 7.942

View more
  1 in total

1.  Research data warehouse best practices: catalyzing national data sharing through informatics innovation.

Authors:  Shawn N Murphy; Shyam Visweswaran; Michael J Becich; Thomas R Campion; Boyd M Knosp; Genevieve B Melton-Meaux; Leslie A Lenert
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 7.942

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.