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Utilizing BioSense Integrator Technology for Electronic Laboratory Results Reporting: A Technical Perspective W. Lane Chambers Healthcare Systems Consultant.

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Presentation on theme: "Utilizing BioSense Integrator Technology for Electronic Laboratory Results Reporting: A Technical Perspective W. Lane Chambers Healthcare Systems Consultant."— Presentation transcript:

1 Utilizing BioSense Integrator Technology for Electronic Laboratory Results Reporting: A Technical Perspective W. Lane Chambers Healthcare Systems Consultant – SAIC BioSense Data Provisioning Project Manager for CHRISTUS Health

2 CHRISTUS BioSense Architecture

3 CDC’s BioSense BioSense is a national program intended to improve the nation’s capabilities for conducting real-time biosurveillance, and enabling health situational awareness through access to existing data from healthcare organizations across the country. The BioSense system collects over 1 million de-identified admission, census, emergency department, laboratory, radiology and pharmacy messages a day from healthcare providers across the US. Data sources include: State/regional surveillance systems Local and regional hospitals and health care systems National laboratories Department of Defense (DoD) Department of was one of the original 10 “vanguard” sites that began transmitting data real time to BioSense in Dec. 2005 Veterans Affairs (VA)

4

5 CHRISTUS’ BioSense Facilities
Facility Region BioSenseADT Census ED Micro Results To BioSense ELR to TX DSHS CHRISTUS St. Michael Health System Texarkana, TX ALTX X CHRISTUS Coushatta Health Care Center Coushatta, LA CLA CHRISTUS St. Frances Cabrini Hospital Alexandria, LA CHRISTUS St. Catherine Hospital, Katy, TX GCTX CHRISTUS St. John Hospital, Nassau Bay, TX CHRISTUS Schumpert Highland, Shreveport, LA NLA CHRISTUS Schumpert St. Mary Place, Shreveport, LA   CHRISTUS St. Patrick Hospital, Lake Charles, LA   SWLA CHRISTUS St. Elizabeth Hospital, Beaumont, TX   SETX CHRISTUS Jasper Memorial Hospital, Jasper, TX   CHRISTUS St. Mary Hospital, Port Arthur, TX  

6 BioSense Message Flows
Standard Queue Application CDC PHIN MS Receivers Data Messaging Broker (transfers from PHINMS, edits and parses messages, and reformats in XML for load) Data Warehouse and HL7 2.5 and vocabulary Local vocabulary and message formats BioSense Integrator with LINKER and PHIN MS Sender Interface Engine HIS/CIS Systems Data Source CDC

7 Functions of the BioSense Integrator
“Subscribe to” and receive (TCP/IP, FTP) HL7 messages from the source operational HIS/CIS systems in local format with local vocabulary Filter data for message types of interest De-identify messages and assign replacement BioSense patient and visit IDs (LINKER) Maintain a cross-reference database linking BioSense IDs to Data Source IDs Transform messages into BioSense HL7 v2.5 format and map local vocabulary to BioSense standards Transmit messages securely to CDC via PHINMS

8 BioSense Split Feeds to Public Health
CDC PHIN MS Receiver Interface Engine BioSense Integrator with LINKER and PHIN MS Sender BioSense HL7 2.5 and vocabulary BioSense Data Warehouse and Application Local vocabulary and message formats Copy of BioSense De-identified Data State or Local Public Health PHIN MS Receiver BioSense Application Public Health Database HIS/CIS Systems Data Source

9 New Requirements for ELR
Simple case detection algorithm for Texas’s reportable diseases Generating output messages containing protected healthcare information (PHI) and expanded patient demographics not in hospital lab results messages Batching and routing ELR output to a separate PHIN MS queue Creating control reports to allow CHRISTUS Lab/Infection Control staff audit that all applicable results had been reported electronically

10 ELR Feed to Texas Public Health
CDC PHIN MS Receiver Cloverleaf Engine BioSense Integrator with LINKER and PHIN MS Sender Standard Feed to BioSense BioSense Data Warehouse and Application Outbound Lab Interface Installed at 6 of 11 Facilities HL7 2.5 ELR Messages with PHI Texas Public Health PHIN MS Receiver BioSense and NBS Application Meditech Lab and HIS/CIS Systems Texas NEDSS-Based System (NBS) CHRISTUS

11 TX Reportable Diseases Case Detection
CHRISTUS’ laboratory organisms mapped to SNOMED codes List of reportable SNOMED codes provided by Texas DSHS Algorithm: Is the result’s SNOMED code on the TX List? Is it a positive result? Is it a final result?

12 Recap of the Project BioSense Project Kickoff – July 24, 2007
BioSense Integrated (end to end) Testing – February 26, 2008 BioSense ADT, Census, ED Activation – 11 sites – April 2, 2008 BioSense Microbiology Results Activation – 6 sites – April 21, 2008 ELR feed to Texas DSHS Activation – 4 sites – April 23, 2008 CHRISTUS is now transmitting ~ 18,000 messages a day to BioSense, every 15 minutes, 24/7. CHRISTUS is sending ~ 4 ELR messages a day to Texas DSHS, every 4 hours if applicable results exist.

13 Next Steps under Consideration
Add additional CHRISTUS facilities to BioSense Lab and ELR feeds as outbound Meditech results interface is implemented Send addition non-microbiology results (HIV, Lead) of interest to Texas to BioSense for ELR feed Establish ELR feed for Louisiana for CHRISTUS’ Louisiana facilities


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