Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness
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 nati...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-10-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-023-02310-4 |
| _version_ | 1827634010568785920 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Jeffrey A. Kline |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T15:07:27Z |
| format | Article |
| id | doaj.art-01486f4c4e674d7b9be11e1cbb9326d3 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-03-09T15:07:27Z |
| publishDate | 2023-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-01486f4c4e674d7b9be11e1cbb9326d32023-11-26T13:32:20ZengBMCBMC Medical Informatics and Decision Making1472-69472023-10-0123111110.1186/s12911-023-02310-4Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illnessJeffrey A. Kline0Brian Reed1Alex Frost2Naomi Alanis3Meylakh Barshay4Andrew Melzer5James W. Galbraith6Alicia Budd7Amber Winn8Eugene Pun9Carlos A. Camargo10Department of Emergency Medicine, Wayne State UniversityDepartment of Emergency Medicine, Wayne State UniversityNewton MassachusettsDepartment of Emergency Medicine, John Peter Smith HospitalDepartment of Emergency Medicine, George Washington University School of MedicineDepartment of Emergency Medicine, George Washington University School of MedicineDepartment of Emergency Medicine, University of Mississippi Medical CenterInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and PreventionCoronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and PreventionGeneral Dynamics Contractor to the Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and PreventionDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical SchoolAbstract 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.https://doi.org/10.1186/s12911-023-02310-4EpidemiologyEmergency medicineSARS-CoV-2Electronic medical records |
| spellingShingle | 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 Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness BMC Medical Informatics and Decision Making Epidemiology Emergency medicine SARS-CoV-2 Electronic medical records |
| title | Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness |
| title_full | Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness |
| title_fullStr | Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness |
| title_full_unstemmed | Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness |
| title_short | Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness |
| title_sort | database derived from an electronic medical record based surveillance network of us emergency department patients with acute respiratory illness |
| topic | Epidemiology Emergency medicine SARS-CoV-2 Electronic medical records |
| url | https://doi.org/10.1186/s12911-023-02310-4 |
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