Cloud Computing Synthetic Syndromic Surveillance Systems: Opioid Epidemic in Illinois.
AMIA Annu Symp Proc
; 2022: 580-586, 2022.
Article
en En
| MEDLINE
| ID: mdl-37128419
ABSTRACT
With an increasing number of overdose cases yearly, the city of Chicago is facing an opioid epidemic. Many of these overdose cases lead to 911 calls that necessitate timely response from our limited emergency medicine services. This paper demonstrates how data from these calls along with synthetic and geospatial data can help create a syndromic surveillance system to combat this opioid crisis. Chicago EMS data is obtained from the Illinois Department of Public Health with a database structure using the NEMSIS standard. This information is combined with information from the RTI U.S. Household Population database, before being transferred to an Azure Data Lake. Afterwards, the data is integrated with Azure Synapse before being refined in another data lake and filtered with ICD-10 codes. Afterwards, we moved the data to ArcGIS Enterprise to apply spatial statistics and geospatial analytics to create our surveillance system.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Vigilancia de Guardia
/
Servicios Médicos de Urgencia
/
Sobredosis de Droga
/
Nube Computacional
/
Epidemia de Opioides
/
Analgésicos Opioides
Tipo de estudio:
Screening_studies
Límite:
Female
/
Humans
/
Male
/
Middle aged
País/Región como asunto:
America do norte
Idioma:
En
Revista:
AMIA Annu Symp Proc
Asunto de la revista:
INFORMATICA MEDICA
Año:
2022
Tipo del documento:
Article
País de afiliación:
Israel