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NYC Syndromic Surveillance

NYC Syndromic Surveillance. IFH HIT Meaningful Use Workshop 10/1/2010 Marlena Plagianos, MS NYCDOHMH mplagian@health.nyc.gov. What is Biosurveillance?.

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NYC Syndromic Surveillance

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  1. NYC Syndromic Surveillance IFH HIT Meaningful Use Workshop 10/1/2010 Marlena Plagianos, MS NYCDOHMH mplagian@health.nyc.gov

  2. What is Biosurveillance? • “Collection and integration of timely health-related information for public health action achieved through the early detection, characterization, and situation awareness of exposures and acute human health events of public health significance.” Aaron T Fleischauer, PhD; Pamela S Diaz, MD; Daniel M Sosin MD . Biosurveillance: A Definition, Scope and Description of Current Capability for a National Strategy. Advances in Disease Surveillance 2008;5:175

  3. Traditional Surveillance • Case definitions • Historically low compliance • Laboratory confirmation can be slow • Still important (e.g. H1N1 in NYC)

  4. Laboratory Confirmation Making firm diagnosis commonly relies on lab result Limited in-house testing in outpatient setting (minutes) Commercial laboratory testing takes time (days-weeks)

  5. Traditional Reporting is Labor Intensive

  6. Traditional Reporting is Labor Intensive

  7. Syndromic Surveillance • Pre-diagnostic indicators of disease • Readiness scenarios: bioterrorism, pandemics • Objectives: • Timely, sensitive, specific surveillance • Detect outbreak before ‘astute clinician’ • Typical Process

  8. New and Exciting Data Types

  9. EHR Syndromic Surveillance • The Primary Care Information Project (PCIP) uses different EHR data sources to conduct & pilot its syndromic surveillance activities • Some syndromes tracked using EHR data are: • Influenza-like Illness (ILI) • Fever • Gastrointestinal Illness (GI) • Case definitions for these syndromes based upon text in these structured fields: • Chief Complaint • Measured Temperature • Diagnosis (ICD-9 CM Code)

  10. System Screenshot

  11. Aggregate Level Syndromic Data • Only “Count” Data is collected

  12. Data processing and syndrome coding

  13. Analysis:Calculate Baseline

  14. Analysis:Test Observed vs. Expected

  15. Analysis:Test Observed vs. Expected

  16. Electronic Health Record Syndromic SurveillanceDuring 2009 Pandemic H1N1 in NYC

  17. Friday

  18. Saturday

  19. Sunday

  20. Monday

  21. Tuesday

  22. Wednesday

  23. Thursday

  24. Friday

  25. Saturday

  26. Sunday

  27. Monday – Memorial Day

  28. Tuesday

  29. H1N1 in New York City:

  30. Objective • To determine whether the timing of the increase in patient visits was different at emergency departments from primary care clinics during the spring 2009 H1N1 influenza outbreak across the 5 boroughs of NYC

  31. Study Sites l 58 Primary Care Providers (PCP): • 9 Institute for Family Health (IFH) clinics • 49 practices enrolled in the NYCDOHMH PCIP (30 visits/day) v50 Emergency Departments • 247 visits/day

  32. Methods • Influenza-like Illness (ILI) as a broad estimate of H1N1

  33. Methods

  34. ED, IFH and PCIP ILI Visits

  35. ED, IFH and PCIP ILI Visits

  36. ED, IFH and PCIP ILI Visits

  37. Facilities with a significant increase in ILI volume

  38. Results, April 24-May 8

  39. Results, May 14-June 4

  40. Findings • Emergency Departments experienced an increase in patients with ILI before Primary Care Providers • PCPs were vastly under-utilized during the outbreak • NYCDOHMH changed messaging to encourage visiting PCPs instead of EDs for mild illness

  41. Future of Syndromic Surveillance

  42. Online Resources CDC Flu Surveillance http://www.cdc.gov/flu/weekly/fluactivity.htm Distribute http://www.isdsdistribute.org/

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