# Presentation: 343369

## BioSense: Using Health Data for Early Event Detection and Situational Awareness

- M. Barry Rhodes, Ph.D.
- BioSense Co-Lead
- Division of Emergency Preparedness and Response
- National Center for Public Health Informatics, CDC
- _[brhodes@cdc.gov](mailto:brhodes@cdc.gov)_
- February 1, 2006

## Early Event Detection and Situational Awareness

- Great promise in using health related data, analysis, and visualization for initial event detection
- Established value in public health decision makers knowing:
- Is there really something going on?
- Where is it?
- How big is it?
- Is it spreading?
- Is our response working?
- Is the event over?
- Situational awareness needs exist at the local, state, and federal levels

## BioSenseRT (Real-time)

- Vision
- Provide situational awareness for suspect illness and possible disease cases before, during, and after a health event
- Help confirm or refute the existence of an event, monitor its size, location, rate of spread, and cessation
- Approach
- Real-time delivery of emergency room and acute care data from hospitals to BioSense and local public health _**aggregated and sent every 15 minutes**_
- Electronic “views,” analytics, and reports for national, state, and local public health, hospital, and government officials provided through a secure web site

## Clinical Data of Interest

- Primary Target Data Types
- Hospital Resources and Utilization
- Patient Demographics (obvious identifiers removed)
- Diagnoses and Procedure Codes
- Chief Complaints / Symptoms / Vital Signs
- Discharge Disposition
- Orders (Lab, Radiology, Pharmacy)
- Laboratory Results

## Hospital Recruitment Goals

- Hospitals as Phase 1 data sources were prioritized
- Large metropolitan area
- High-volume ED
- Health systems with multiple hospitals
- Existing hospital IT (i.e. ED system)
- Timeliness of data
**Support of local public health**

## Implementation Concepts

- Effort to be coordinated with local and state public health for early event detection, situational awareness, outbreak characterization
- Real-time data connections of existing clinical, diagnostic and health information sent every 15 minutes
- Industry-accepted (PHIN) standards to be applied in the coding and transmission of data
- Funding available to address incremental costs of hospital / health system participation
- Data feed from the hospital can be split to provide data to CDC and local public health simultaneously

## Value to Public Health

- Simultaneous access of health data by all levels of public health decreases delays in recognition of a problem
- Neighboring jurisdictions have more information
- A national system means broader data availability possible by combining local and national sources
- A step in the right direction for establishing a foundation for electronic reporting
- Increased capacity for biosurveillance using existing clinical and diagnostic real-time data from hospital information systems

## BioSense Early Event Detection component in production since 2003, analyzing VA, DoD ambulatory care and lab order data
BioSenseRT currently receiving data from 10 cities, representing 9 hospital systems, total 32 hospitals
Minimum of 21 additional cities; Goal is 350 hospitals for enhanced pandemic flu preparedness by end of 2006
Initial system users, including local and state public health, participating hospitals, and applied researchers, will participate in ongoing meetings/dialogue with CDC during 2006 to help establish reports, screens, protocols, and analytics

- BioSenseRT currently receiving data from 10 cities, representing 9 hospital systems, total 32 hospitals
- Minimum of 21 additional cities; Goal is 350 hospitals for enhanced pandemic flu preparedness by end of 2006
- Initial system users, including local and state public health, participating hospitals, and applied researchers, will participate in ongoing meetings/dialogue with CDC during 2006 to help establish reports, screens, protocols, and analytics

- BioSense Status