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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

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Implementation of laboratory order data in BioSense Early Event Detection and Situation Awareness System.

Haobo Ma¹, H Rolka, K Mandl

¹CDC, Atlanta, Georgia 30333, USA. HMa@cdc.gov

MMWR Supplements

|September 24, 2005

Summary

Laboratory test order data from LabCorp can enhance early outbreak detection. Grouping these orders into standard syndrome categories improves public health surveillance systems like BioSense.

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Area of Science:

Public Health Surveillance
Infectious Disease Epidemiology
Health Informatics

Background:

Laboratory test orders serve as a crucial early data source for detecting disease outbreaks.
The Centers for Disease Control and Prevention (CDC) receives laboratory order data from Laboratory Corporation of America (LabCorp) in HL7 format.
This data is intended for integration into the BioSense Early Event Detection and Situation Awareness System.

Purpose of the Study:

To develop a standardized method for categorizing laboratory test orders to aid in early outbreak detection.
To create a consensus-based taxonomy for laboratory order data.
To enhance the utility of laboratory order data for public health surveillance.

Main Methods:

A consensus panel grouped test orders into eight standard syndrome categories based on expert opinion.
A laboratory order taxonomy with five main classes was developed and utilized.
International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes were used to understand reasons for test orders.

Main Results:

The study categorized laboratory order codes into eight syndrome groups: fever (53), respiratory (53), gastrointestinal (27), neurological (35), rash (37), lymphadenitis (20), localized cutaneous lesion (11), and specific infection (63).
This categorization provides a quantitative overview of laboratory test order distributions across different syndromes.

Conclusions:

Daily analysis of laboratory order data within the BioSense system allows for the evaluation of code distribution across syndrome groups.
This evaluation facilitates ongoing refinement and modification of the data mapping process.
The developed syndrome categories enhance the value of laboratory order data for real-time public health monitoring.