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BioSense Overview

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RSV Codes by Week, BioSense, July 04-Dec 05. TM. TM. TM. Present: BioSenseRT ... RSV. Upper respiratory infections. Hemoptysis. Rash. Rash. Severe Illness and ... – PowerPoint PPT presentation

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Title: BioSense Overview


1
BioSense Overview
  • Jerome Tokars, MD, MPH
  • Associate Director for Science
  • Division of Emergency Preparedness and Response
  • Feb 14, 2006

2
BioSense Overview
  • Past
  • BioSense system
  • Special analyses
  • Present
  • BioSenseRT
  • Future
  • Some priorities for 2006

3
Past (and Current)
  • Department of Defense (DOD) outpatient Medical
    Treatment Facilities (n355)
  • ICD-9 CM diagnosis codes
  • CPT procedure codes
  • Veterans Affairs (VA) outpatient medical centers
    and clinics (n849)
  • ICD-9 CM diagnosis codes
  • CPT procedure codes
  • LabCorp
  • Preliminary diagnoses (ICD-9 CM)
  • Test orders
  • BioWatch negative test results

4
Codes Mapped to 11 Syndromes
  • Botulism-like
  • Fever
  • Gastrointestinal
  • Hemorrhagic illness
  • Localized cutaneous lesion
  • Lymphadenitis
  • Neurological
  • Rash
  • Respiratory
  • Severe illness/death
  • Specific infection

5
Analytic Home Page
6
BioIntelligence Center (BIC)
  • Initiated June 2004
  • Dedicated monitors (personnel)
  • Examine BioSense application for data anomalies
  • Support for state and local personnel
  • System troubleshooting and enhancement

7
Spectrum of Uses for Electronic Data
  • Syndromes
  • Diagnoses of specific diseases
  • Influenza
  • RSV
  • Injuries
  • Viral meningitis
  • West Nile Virus
  • Laboratory/radiology results

8
Numbers of Events, Standard vs BioSense
Influenza Surveillance
2003-2004
2004-2005
Sentinel Physician reports
9
RSV Codes by Week, BioSense, July 04-Dec 05
10
Present BioSenseRT
  • An initiative within the BioSense Project that
    emphasizes acquisition of clinically rich data in
    real time from hospitals in major US cities
  • Data transmitted within 15 min of appearance in
    HIS
  • Data visualized within 2 hours of receipt

11
BioSenseRT Functions
  • Early Event Detection
  • Early detection of disease prodromes
  • Notification
  • The early upswing of the epi curve
  • Situational Awareness
  • Information to manage an event
  • Description
  • All phases of the epi curve

12
BioSenseRT Patient Populations
  • Emergency Department
  • Hospital Inpatient
  • Ambulatory Care

13
BioSenseRT Data Types
  • Hospital level data
  • Daily census (resources and bed utilization)
  • Patient level data
  • Chief complaint and diagnosis
  • Patient demographics (obvious identifiers
    removed)
  • ED data vital signs, etc
  • Micro lab orders and results
  • Radiology orders and results
  • Pharmacy orders

Phase 1
14
Cities with BioSense Hospitals 2005 Commitments
  • Atlanta, GA
  • Baltimore, MD
  • Boston, MA
  • Chicago, IL
  • Columbus, OH
  • Dallas, TX
  • Denver, CO
  • El Paso, TX
  • Indianapolis, IN
  • Las Vegas, NV
  • Los Angeles, CA
  • Miami, FL
  • Milwaukee, WI
  • Philadelphia, PA
  • Phoenix, AZ
  • Portland, OR
  • San Diego, CA
  • St. Louis, MO
  • Washington D.C.

Currently receiving data from 32 hospitals in 10
cities
15
Data Analyses and PresentationChief Complaint
and Diagnosis
  • 11 standard syndromes
  • 79 standard groups based on chief complaints and
    diagnoses
  • Primary unit of analysis is the facility (ie
    hospital)
  • Later analysis by county and/or zip code

16
Diagnosis Groups (n79)
  • Botulism-like
  • Paralysis
  • Speech disturbance
  • Dysphagia
  • Fever
  • Fever
  • Septicemia and bacteremia
  • Viral infection, unspecified
  • GI
  • Abdominal pain
  • Anorexia
  • Diarrhea
  • Food poisoning
  • Intestinal infections, ill-defined
  • Nausea and vomiting

17
Diagnosis Groups
  • Hemorrhagic
  • Coagulation defects
  • Gastrointestinal hemorrhage
  • Hemorrhage
  • Purpura and petechia
  • Cutaneous lesion
  • Insect bites
  • Skin infection
  • Lymphadenitis
  • Lymphadenopathy
  • Neurological
  • Alteration of consciousness
  • CNS, inflammatory disease
  • Convulsions
  • Gait abnormality
  • Headache
  • Meningismus
  • Photophobia

18
Diagnosis Groups
  • Respiratory
  • Asthma
  • Bronchitis and bronchiolitis
  • Chest pain
  • Cough
  • Cyanosis and hypoxemia
  • Dyspnea
  • Influenza-like illness
  • Otitis media
  • Pleurisy
  • Pneumonia and lung abscess
  • Respiratory (continued)
  • Respiratory failure
  • RSV
  • Upper respiratory infections
  • Hemoptysis
  • Rash
  • Rash
  • Severe Illness and Death
  • Coma
  • Death
  • Shock

19
Diagnosis GroupsNot Classified Into Syndromes
  • Allergy
  • Anemia
  • Bites, animal
  • Burns
  • Carbon monoxide poisoning
  • Cardiac dysrhythmias
  • Cerebrovascular disease
  • COPD
  • Dehydration
  • Diabetes mellitus
  • Dizziness
  • Edema
  • Falls
  • Fractures and dislocation
  • Heart disease, ischemic
  • Heat, excessive
  • Hypertension
  • Hypotension
  • Injury, NOS
  • Jaundice
  • Malaise and fatigue
  • Mental disorders
  • Migraine
  • Motor vehicle traffic accidents
  • Myalgia
  • Neoplasms
  • Numbness
  • Open wound
  • Poisoning by medicines
  • Pregnancy, childbirth complications
  • Sprains and strains
  • Syncope and collapse
  • Urinary tract infection
  • Visual impairment

20
(No Transcript)
21
BioSense FutureSome Priorities for 2006 (and
beyond)
  • Additional data sources and types
  • Revised data analysis strategy
  • Monitoring and reporting protocols
  • Enhance BioSenseRT application
  • Evaluate current application views
  • Influenza
  • Evaluations

22
Additional data sources and types
  • Microbiology
  • BT agents
  • Reportable diseases
  • Other organisms of interest
  • Routine cultures and susceptibility
  • Radiology
  • CXR infiltrate, pneumonia
  • Extremity fracture, dislocation
  • ED-specific data fever, acuity
  • Pharmacy
  • Poison Control Center data
  • Commercial laboratories
  • Claims clearinghouse

BioSenseRT
23
Evaluation
  • Early
  • Accuracy of data and application
  • Comments from users
  • Middle
  • Can we detect influenza?
  • Can we see known localized outbreaks?
  • Data useful in an emergency?
  • Later
  • Is there value added?

24
Themes
  • Richer data
  • Real-time data
  • More specific events
  • Situational awareness as well as early event
    detection
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