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Displaying results 33 - 40 of 900
  • 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
    … Hospital (EH) Onboarding Approach for the Meaningful Use (MU) Incentive Program Promise Nkwocha, MSc. RHCE … (required variables are: Age, Gender, Date and time of visit, Zip Code, Chief complaint, Diagnosis/Diagnosis code, … this visit at this facility including the nature of the visit, critical timing information and a unique visit …
  • Two Unique Syndromic Surveillance Systems: State and Federal Collaboration to Identify Spike in “Visits of Interest”

    Content Type: Success Stories

    The New Jersey Department of Health (NJDOH) uses Health Monitoring Systems’ EpiCenter to collect, manage, and analyze real-time emergency department (ED) data acquired from acute care hospitals and satellite EDs. NJDOH integrates these data into a… read more
    … expert identified a spike in the NJDOH’s hospital ED “Visits of Interest” category based on chief complaint and … team that NSSP ESSENCE identified an uptick in ED “Visits of Interest.” NJDOH’s data analyst assessed the … complaints in two contiguous counties. Although these visits had prompted an alert in NJDOH’s SyS system for total …
  • A Controlled Vocabulary for "Reason for Visit" in Ambulatory Encounters

    Content Type: Abstract

    Objective: To enable improved health surveillance and clinical decision support within ambulatory Electronic Health Record (EHR) systems.
    … RANKED SLOPE= -1 A Controlled Vocabulary for “Reason for Visit” in Ambulatory Encounters F Mostashari*, N Soulakis*, … encounters; 5,627 (1.9%) had no documented reason for visit. There were 410,633 reasons listed, comprised of 254 …
  • Secrets of My Success (and Failures): Productive Practitioner/Researcher Collaboration

    Content Type: Webinar

    Two public health practitioners will describe their experiences collaborating with University researchers to develop and evaluate new informatics tools for public health. They will identify factors that led to the successes and failures in those… read more
    … … Secrets Of My Success (and Failures): Productive … core data system ! MPI !  Shared learning, oriented us !  May use Regenstrief’s MPI ! Reportable disease case … Practice and Research Committees … 984 … Secrets of My Success (and Failures): Productive …
  • CDC Heroin v3

    Content Type: Syndrome

    THE KNOWLEDGE REPOSITORY HAS BEEN UPDATED TO INCLUDE CDC HEROIN OVERDOSE V4 - THE UPDATED SYNDROME DEFINITION CAN BE FOUND HERE. States… read more
    … some lessons learned in querying heroin overdose ED visits in syndromic surveillance systems. Based on this … indicating a heroin poisoning is present, the ED visit is automatically included in the syndrome. If there is … diagnosis codes. A large increase in heroin overdose ED visits may be attributable to increased supply and use of …
  • Evaluating the Validity of ED Visit Data for Biosurveillance

    Content Type: Abstract

    The North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) receives a designated set of data elements electronically available from 110 emergency departments (EDs) (98%) on at least a daily basis via… read more
    … system. Document Evaluating_The_Validity_Of_Ed_Visit_Data_For_Biosurveillance.pdf Submitted by elamb on … Results The study examines 9,144 visit records, 1,717 visits from Hospital L and 7,427 visits for System S. For Hospital L, 11 data fields match …
  • The NGram CC Classifier: A Novel Method of Automatically Creating CC Classifiers Based on ICD9 Groupings

    Content Type: Abstract

    Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but… read more
    … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which … applies the ICD9 classifier to a training set of ED visits for which both the CC and ICD9 code are known. A … ly C ou nt s ICD ngram Fig. 2 Daily Counts N gram vs ICD y = 0.56x + 23.68 R = 0.9 0.0 20.0 40.0 60.0 80.0 100.0 …
  • Oregon ESSENCE: Using ESSENCE for Mass Gathering Surveillance

    Content Type: Report

    Syndromic surveillance is the near real-time monitoring of key health indicators in emergency department (ED) and urgent care visits. Oregon ESSENCE tracks the number of visits for specific patient symptoms using… read more
    … indicators in emergency department (ED) and urgent care visits. Oregon ESSENCE tracks the number of visits for … https://1859oregonmagazine.com/explore-oregon/outdoors/total-solar-eclipse/ Using … “During the last [time period], X-related visits at Y county facilities were within expected levels.” Elevated …