How to Effectively Validate an HL7 Syndromic Surveillance Interface

Current local, state, and national initiatives related to meaningful use and the modernization of electronic health records, and the growing availability of electronic information exchanges, have become important drivers to establishing syndromic surveillance systems. Effective implementation of electronic syndromic surveillance interfaces requires approaches that ensure the receipt of quality, timely, and reliable information.

October 10, 2017

Evaluation of Hepatitis C Surveillance in Washington State

Hepatitis C is a nationally notifiable viral infection that occurs as a result of parenteral contact with infected body fluids. An estimated 3.5 million persons are currently infected with HCV.1 Infection status is divided into acute (short-term, onset within 6 month of exposure) and chronic (long-term). For most people (75-85%), acute HCV infection leads to chronic infection.2 Those with chronic infection remain relatively asymptomatic until the infection becomes severe enough to be recognized or the infected individual is screened for infection with hepatitis C.

August 31, 2017

National Syndromic Surveillance Program (NSSP) BioSense Data Quality Workgroup

To provide community input on data quality issues and enhance data quality through sharing and testing of scripts.

Summary of activities:

The Data Quality workgroup has worked to address Data Quality issues through the development, sharing and testing of scripts. The Data Quality workgroup formed a DQ EHR-Vendor Concern Subcommittee to address issues across vendors nationwide. 

March 13, 2017

KS Onboarding Presentation

These slides provide an overview of the onboarding process for jurisdictions in Kansas supplying data for BioSense. This presentation emphasizes steps needed to improve data quality.

October 29, 2017

National Syndromic Surveillance Program (NSSP) BioSense Onboarding Workgroup - Report

Objective

To share best practices for onboarding amongst community members in the interest of improving onboarding efforts nationally.

October 29, 2017

National Syndromic Surveillance Program (NSSP) BioSense Syndrome Definitions Workgroup - Report

This report summarizes a series of seven meetings of the Syndrome Definition Workgroup held in 2014 and 2015.

Objective

To review, validate, and modify syndromes and provide community input on a process to update or develop syndromes.

October 29, 2017

Towards a Framework for Data Quality Properties of Indicators used in Surveillance

Effective use of data for disease surveillance depends critically on the ability to trust and quantify the quality of source data. The Scalable Data Integration for Disease Surveillance project is developing tools to integrate and present surveillance data from multiple sources, with an initial focus on malaria. Consideration of data quality is particularly important when integrating data from diverse clinical, population-based, and other sources.

November 06, 2017

Timeliness of Chlamydia Laboratory and Provider Reports: A Modern Perspective

Timeliness of reports sent by laboratories and providers is a continuous challenge for disease surveillance and management. Public health organizations often collect communicable disease reports with various degrees of timeliness raising the concern about the delay in patient information received. Timely reports are beneficial to accurately evaluate community health needs and investigate disease outbreaks. According to Indiana state law, chlamydia reports are required to be sent to public health within 3 days after a positive test result confirmation.

December 12, 2017

Assessing the Potential Impact of the BioSense 24-hour Rule Using NC DETECT ED Data

Per a frequently asked questions document on the ISDS website, approximately two thirds of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use the patient ID, facility ID and earliest date in the record to identify a unique visit. If the earliest dates in records with the same patient ID and facility ID occur within the same 24-hour time frame, those two visits are combined into one visit and the earliest date will be stored.

September 28, 2017

Validation of New Jersey Emergency Department (ED) Registration Data in BioSense 2.0

BioSense 2.0, a redesigned national syndromic surveillance system, provides users with timely regional and national data classified into disease syndromes, with views of health outcomes and trends for use in situational awareness. As of July 2014, there are 60 jurisdictions nationwide feeding data into BioSense 2.0. In New Jersey, the state’s syndromic surveillance system, EpiCenter, receives registration data from 75 of NJ’s 80 acute care and satellite emergency departments. EpiCenter is a system developed by Health Monitoring Systems, Inc.

December 29, 2017

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