Displaying results 545 - 552 of 578
-
Discovering the National Biosurveillance Integration Center (NBIC)
Content Type: Webinar
The National Biosurveillance Integration Center (NBIC) serves to enable early warning and shared situational awareness of acute biological events and support better decisions through rapid identification, characterization, localization, and tracking… read more… through enhanced coding of food, national guidelines, and training for a food safety help line call center • Applies … -
BioSense 2.0 Webinar: The Kansas Experience, Health Information Exchanges, and Onboarding
Content Type: Webinar
Public health jurisdictions participating in BioSense 2.0 can be on-boarded in several ways, including one hospital at a time or through a health information exchange (HIE). Onboarding through an HIE can simplify the process and ease the burden on… read more… Kansas experience to BioSense through Missouri ESSENCE. Six Kansas facilities in the Kansas City … -
Text mining using tidy data principles
Content Type: Webinar
Presented April 25, 2018. Text data is increasingly important in many domains, and tidy data principles and tidy tools can make text mining easier and more effective. I will demonstrate how we can manipulate, summarize, and visualize the… read more… T I D Y T E X T TEXT DATA IS INCREASINGLY IMPORTANT NLP TRAINING IS SCARCE ON THE GROUND TIDY DATA PRINCIPLES + … -
Eligible Hospital (EH) Onboarding Approach for the Meaningful Use (MU) Incentive Program
Content Type: Meeting Recordings & Notes
From the BioSense 2.0 Onboarding Workgroup meeting, February 4, 2015 Presenter Promise Nkwocha, MSc. RHCE, New York City Department of Health and Mental Hygiene read more… “P” for Production, “D” for Debug/Testing or “T” for Training/Testing. Version ID 12 String 5 [1..1] R R R R … -
NYC Onboarding Presentation
Content Type: Presentation Slides
This NYC DOHMH presentation details the process for onboarding data into BioSense for the NYC hospitals for certification.… “P” for Production, “D” for Debug/Testing or “T” for Training/Testing. Version ID 12 String 5 [1..1] R R R R … -
HL7 Version 2.5.1 PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care and Inpatient Settings, Release 2.0, NIST Clarifications and Validation Guidelines, Version 1.5 (July 2016)
Content Type: Messaging Standard
This document lists conformance testing issues and associated policies derived by NIST, in collaboration with the CDC, based on a review of the HL7 Version 2.5.1 PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care,… read more… values: "P" for Production, "D" for Debug or "T" for Training. NIST-28 MSH-12 SS-016 implementation SS-016 needs … values: "P" for Production, "D" for Debug or "T" for Training. ERR-15 NIST-28 MSH-12 SS-016 implementation SS-016 … -
Using AFDL Algorithm to Estimate Risk of Positive Outcomes of Microbial Tests at Food Establishments
Content Type: Abstract
One of the common tasks faced by the U.S. Department of Agriculture (USDA) food safety analysts is to estimate the risk of observing positive outcomes of microbial tests of food samples collected at the slaughter and food… read more… Montevideo over six months following two years worth of training data. Figure below presents lift charts summarizing … -
CDC All Drug Overdose v3 Parsed
Content Type: Syndrome
Query purpose: To assist state, local, tribal, territorial, and federal public health practitioners in monitoring emergency department (ED) visits for suspected nonfatal overdoses involving any drug using syndromic surveillance… read more… poisoning of unintentional or undetermined intent. Within ESSENCE, the syndrome query is applied to the Chief … Revision of All Drug Overdose v2 Date Added to ESSENCE: January 16, 2024 Definition Description: The CDC …
Pagination
- First page
- Previous page
- …
- 68
- 69
- 70
- 71
- …
- Next page
- Last page