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Published in: BMC Medical Informatics and Decision Making 1/2023

Open Access 01-12-2023 | SARS-CoV-2 | Database

Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness

Authors: Jeffrey A. Kline, Brian Reed, Alex Frost, Naomi Alanis, Meylakh Barshay, Andrew Melzer, James W. Galbraith, Alicia Budd, Amber Winn, Eugene Pun, Carlos A. Camargo Jr.

Published in: BMC Medical Informatics and Decision Making | Issue 1/2023

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Abstract

Background

For surveillance of episodic illness, the emergency department (ED) represents one of the largest interfaces for generalizable data about segments of the US public experiencing a need for unscheduled care. This protocol manuscript describes the development and operation of a national network linking symptom, clinical, laboratory and disposition data that provides a public database dedicated to the surveillance of acute respiratory infections (ARIs) in EDs.

Methods

The Respiratory Virus Laboratory Emergency Department Network Surveillance (RESP-LENS) network includes 26 academic investigators, from 24 sites, with 91 hospitals, and the Centers for Disease Control and Prevention (CDC) to survey viral infections. All data originate from electronic medical records (EMRs) accessed by structured query language (SQL) coding. Each Tuesday, data are imported into the standard data form for ARI visits that occurred the prior week (termed the index file); outcomes at 30 days and ED volume are also recorded. Up to 325 data fields can be populated for each case. Data are transferred from sites into an encrypted Google Cloud Platform, then programmatically checked for compliance, parsed, and aggregated into a central database housed on a second cloud platform prior to transfer to CDC.

Results

As of August, 2023, the network has reported data on over 870,000 ARI cases selected from approximately 5.2 million ED encounters. Post-contracting challenges to network execution have included local shifts in testing policies and platforms, delays in ICD-10 coding to detect ARI cases, and site-level personnel turnover. The network is addressing these challenges and is poised to begin streaming weekly data for dissemination.

Conclusions

The RESP-LENS network provides a weekly updated database that is a public health resource to survey the epidemiology, viral causes, and outcomes of ED patients with acute respiratory infections.
Appendix
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Literature
2.
go back to reference Kline JA, Pettit KL, Kabrhel C, Courtney DM, Nordenholz KE, Camargo CA. Multicenter registry of United States emergency department patients tested for SARS-CoV-2. J Am Coll Emerg Physicians Open. 2020;1(6):1341–8.CrossRefPubMedPubMedCentral Kline JA, Pettit KL, Kabrhel C, Courtney DM, Nordenholz KE, Camargo CA. Multicenter registry of United States emergency department patients tested for SARS-CoV-2. J Am Coll Emerg Physicians Open. 2020;1(6):1341–8.CrossRefPubMedPubMedCentral
3.
go back to reference Lewnard JA, Hong VX, Patel MM, Kahn R, Lipsitch M, Tartof SY. Clinical outcomes associated with SARS-CoV-2 Omicron (B.1.1.529) variant and BA.1/BA.1.1 or BA.2 subvariant infection in Southern California. Nature Medicine. 2022;28(9):1933–43. Lewnard JA, Hong VX, Patel MM, Kahn R, Lipsitch M, Tartof SY. Clinical outcomes associated with SARS-CoV-2 Omicron (B.1.1.529) variant and BA.1/BA.1.1 or BA.2 subvariant infection in Southern California. Nature Medicine. 2022;28(9):1933–43.
4.
go back to reference Nyberg T, Ferguson NM, Nash SG, Webster HH, Flaxman S, Andrews N, et al. Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study. Lancet. 2022;399(10332):1303–12. Nyberg T, Ferguson NM, Nash SG, Webster HH, Flaxman S, Andrews N, et al. Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study. Lancet. 2022;399(10332):1303–12.
5.
go back to reference Geismar C, Nguyen V, Fragaszy E, Shrotri M, Navaratnam AMD, Beale S, et al. Symptom profiles of community cases infected by influenza, RSV, rhinovirus, seasonal coronavirus, and SARS-CoV-2 variants of concern. Sci Rep. 2023;13(1):12511.CrossRefPubMedPubMedCentral Geismar C, Nguyen V, Fragaszy E, Shrotri M, Navaratnam AMD, Beale S, et al. Symptom profiles of community cases infected by influenza, RSV, rhinovirus, seasonal coronavirus, and SARS-CoV-2 variants of concern. Sci Rep. 2023;13(1):12511.CrossRefPubMedPubMedCentral
6.
go back to reference Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.CrossRefPubMed Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.CrossRefPubMed
7.
go back to reference Teutsch S, Churchill R. Principles and Practice of Public Health Surveillance. 2nd ed. New York: Oxford University Press; 2000.CrossRef Teutsch S, Churchill R. Principles and Practice of Public Health Surveillance. 2nd ed. New York: Oxford University Press; 2000.CrossRef
8.
go back to reference Korzeniewski SJ, Bezold C, Carbone JT, Danagoulian S, Foster B, Misra D, et al. The Population Health OutcomEs aNd Information EXchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease. Online J Public Health Inform. 2020;12(1): e3.CrossRefPubMedPubMedCentral Korzeniewski SJ, Bezold C, Carbone JT, Danagoulian S, Foster B, Misra D, et al. The Population Health OutcomEs aNd Information EXchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease. Online J Public Health Inform. 2020;12(1): e3.CrossRefPubMedPubMedCentral
9.
go back to reference Senate U. Historically unprepared: Examination of the Federal Government's Pandemic Prepardness and Initial COVID-19 response. file:///C:/Users/gr5041/Downloads/873516%20(3).pdf: HSGAC Majority Staff Report; 2022. Senate U. Historically unprepared: Examination of the Federal Government's Pandemic Prepardness and Initial COVID-19 response. file:///C:/Users/gr5041/Downloads/873516%20(3).pdf: HSGAC Majority Staff Report; 2022.
10.
go back to reference Duda SN, Kennedy N, Conway D, Cheng AC, Nguyen V, Zayas-Cabán T, et al. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review. J Am Med Inform Assoc. 2022;29(9):1642–53.CrossRefPubMedPubMedCentral Duda SN, Kennedy N, Conway D, Cheng AC, Nguyen V, Zayas-Cabán T, et al. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review. J Am Med Inform Assoc. 2022;29(9):1642–53.CrossRefPubMedPubMedCentral
11.
go back to reference Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, et al. Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study. J Med Internet Res. 2022;24(5): e37931.CrossRefPubMedPubMedCentral Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, et al. Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study. J Med Internet Res. 2022;24(5): e37931.CrossRefPubMedPubMedCentral
Metadata
Title
Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness
Authors
Jeffrey A. Kline
Brian Reed
Alex Frost
Naomi Alanis
Meylakh Barshay
Andrew Melzer
James W. Galbraith
Alicia Budd
Amber Winn
Eugene Pun
Carlos A. Camargo Jr.
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2023
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-023-02310-4

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