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Displaying results 257 - 264 of 704
  • 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
    … (required variables are: Age, Gender, Date and time of visit, Zip Code, Chief complaint, Diagnosis/Diagnosis code, … ED REGISTRATION OF INTENT FROM NYSStart SENDS INITIAL ACK. TO ED SENDS ED INVITATION TO TEST (1st/2nd) ED ACCEPTS …
  • 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.
    … (required variables are: Age, Gender, Date and time of visit, Zip Code, Chief complaint, Diagnosis/Diagnosis code, … ED REGISTRATION OF INTENT FROM NYSStart SENDS INITIAL ACK. TO ED SENDS ED INVITATION TO TEST (1st/2nd) ED ACCEPTS …
  • Creating a shared epidemiologic vocabulary: lessons from the former Soviet Union

    Content Type: Abstract

    As part of the United States Department of Defense strategy to counter biological threats, the Defense Threat Reduction Agency’s biological threat reduction program is enhancing the capabilities of countries in the former Soviet Union… read more
    … Consequently, many fundamental Soviet terms and concepts lack simple correlates in English and other languages … Consequently, many fundamental Soviet terms and concepts lack simple correlates in English and other languages … Consequently, many fundamental Soviet terms and concepts lack simple correlates in English and other languages …
  • 2012 Meaningful Use: Inpatient and Ambulatory Care Data project FAQ

    Content Type: FAQ

    This Frequently Asked Questions (FAQ) document addresses the questions that recurred throughout the development of the ISDS Meaningful Use Workgroup Recommendations.
    … are the differences between Chief Complaint, Reason For Visit, Admit Reason, and Encounter Reason? 14. Why are … differ for 14 core data elements of interest: facility/visit type; medical record number; admit reason; date of …
  • The Big Picture: Using Antibiotic Use and Surveillance Data to Better Inform Stewardship in Healthcare Settings

    Content Type: Webinar

    The Centers for Disease Control and Prevention (CDC) estimates that antibiotic-resistant infections affect 2 million people and cause 23,000 deaths annually in the United States. It is well documented that the primary driver of antibiotic resistance… read more
    … BMJ. 2007:335(7627);982. Shehab CID 2008;47 (6):735-43. Linder CID 2008; 47(6);744-6. CDC. Antibiotic resistance … and anaphylaxis � 1 in 1000 antibiotics lead to ED visit for an adverse event Physician Perception of Patient … Gonzales JAMA Intern Med 2013 Feb 25;173(4):267-73. Linder Inform Prim Care. 2009;17(4):231-40. Audit and …
  • Defining Clinical Condition Categories for Biosurveillance

    Content Type: Abstract

    The goal of this project is to create a set of clinical condition categories based on explicit criteria for use in biosurveillance programs. The categories will be defined and keywords and ICD-9-CM diagnosis codes for implementation will be proposed.
    … to local preferences. However, this disparity may also hinder comparison of biosurveillance data from different … nationally notifiable infectious diseases; 3) reasons for visit from CDC’s Hurricane Morbidity Report Form for Active …
  • Sharing Public Health Information with Non-Public Health Partners

    Content Type: Abstract

    Automated Electronic Disease Surveillance has become a common tool for most public health practitioners. Users of these systems can analyze and visualize data coming from hospitals, schools, and a variety of sources to determine the health of their… read more
    … this information, however, can be difficult due to lack of secure tools and guidance policies. This abstract … this information, however, can be difficult due to lack of secure tools and guidance policies. This abstract …
  • Data capture and visualization for a canine influenza outbreak - New York City, 2018

    Content Type: Abstract

    Data-driven decision-making is a cornerstone of public health emergency response; therefore, a highly-configurable and rapidly deployable data capture system with built-in quality assurance (QA; e.g., completeness, standardization) is critical.… read more
    … in New York City (NYC) and provide aggregate data back to the veterinary community as an interactive … in New York City (NYC) and provide aggregate data back to the veterinary community as an interactive dashboard. …