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Electronic Health Record (EHR)

Under the CDC STD Surveillance Network (SSuN) Part B grant, WA DOH is testing eICR of sexually transmitted infections (STI) with a clinical partner. Existing standard vocabulary codes were identified to represent previously-identified information gaps, or the need for new codes or concepts was identified.

Objective:

Previous research identified data gaps between traditional paper-based STI notifiable condition reporting and pilot electronic initial case reporting (eICR) relying on Continuity of Care Documents (CCDs) exported from our clinical partner’s electronic health record (EHR) software. Structured data capture is needed for automatic processing of eICR data imported into public health repositories and surveillance systems, similar to electronic laboratory reporting (ELR). Coding data gaps (between paper and electronic case reports) using standardized vocabularies will allow integration of additional questions into EHR or other data collection systems and may allow creation of standard Clinical Data Architecture (CDA) templates, Logical Observation Identifiers Names and Codes (LOINC) panels, or Fast Healthcare Interoperability Resources (FHIR) resources. Furthermore, identifying data gaps can inform improvements to other standards including nationwide standardization efforts for notifiable conditions.

Submitted by elamb on

Sexually transmitted disease treatment guidelines have incrementally added repeat testing recommendations for Chlamydia trachomatis infections over time, including test-of-cure 3 to 4 weeks following completion of treatment for pregnant women and test-of-reinfection for all patients approximately 3 months after infection. However, few studies have investigated adherence to these recommendations and whether the evolution of guidelines have led to changes in repeat testing patterns over time.

Objective:

To evaluate current rates and temporal trends in adherence with national guidelines recommending chlamydia test-of-cure for pregnant females and test-of-reinfection for all patients.

Submitted by elamb on

A report jointly released by the de Beaumont Foundation and Johns Hopkins University, Using Electronic Health Data for Community Health: Example Cases and Legal Analysis provides public health departments with a framework that will allow them to request data from hospitals and health systems in order to move the needle on critical public health challenges.

Submitted by ctong on

Michigan has been collecting chief complaint data from emergency departments statewide to support situational awareness activities related to communicable disease since 2004. We validated the syndromic system by comparing the chief complaint data to the electronic medical records of a tertiary hospital in southeast Michigan to better understand the utility of the system for noncommunicable disease situations.

Objective

Validation of the syndromic system by comparing the chief complaint data to the electronic medical records (EMR) of a tertiary hospital.

Submitted by teresa.hamby@d… on

Chikungunya virus disease (CHIK) is a mosquito-borne viral infection currently widespread in the Caribbean with the potential for emergence and endemicity in the U.S. via infected travelers and local mosquito vectors. CHIK disease can be severe and disabling with symptoms similar to dengue. CHIK is not a U.S. nationally notifiable disease and tracking travel-associated and locally acquired cases is currently dependent on voluntary reporting via ArboNET. While ArboNET cases are laboratory confirmed and highly specific, ArboNET is a passive surveillance system where representativeness and timeliness may be lacking. In contrast, submitting an electronic bill following HC services is the most mature and widely used form of eHealth. Providers are highly motivated to submit claims for reimbursement and the eHRC process is ubiquitous in the U.S. HC system. HIPAA-compliant eHRCs from provider offices can be captured in e-commerce and consolidated into electronic data warehouses and used for many purposes including public health surveillance. eHRCs are standardized and each claim contains pertinent person, place, and time information as well as ICD-9 diagnostic codes. IMS Health (IMS) is a global HC information company and maintains one of world’s largest eHealth data warehouses that processes ~1 billion provider office eHRCs annually. IMS consolidates eHRCs from >60% of all U.S. office-based providers from all parts of the U.S. The size and predictability of the eHRC flow into the IMS data warehouse supports projections of national estimates and time trends of conditions of interest.

Objective

This paper describes how high-volume electronic healthcare (HC) reimbursement claims (eHRCs) from providers’ offices can be used to supplement Chikungunya surveillance in the U.S.

 

 

Submitted by uysz on

There is a saying in EMS that if you've "seen one EMS system, then you've seen one EMS system". Many EMS systems have good or even great data for surveillance and research, but while there are some standards developing for EMS data formats and sharing, very few systems have the capability to share data using them.Presenters discussed the current state of 9-1-1/EMS dispatch and field electronic medical records systems, and the changing impact of the official and informal standards and variations of data seen in different communities.

ISDS, in cooperation with the Community for Population and Public Health Measures (COPHM), is pleased to announce an upcoming webinar to be held on June 13th. The purpose of this webinar is to inform ISDS members, EHR technology developers, and public health informaticists about the Syndromic Surveillance Reference Implementation. This tool has been designed to enable communications between two organizations or between an organization and the BioSense 2.0 system.

Advances in health information technology are providing exciting opportunities to expand public health surveillance capabilities with the addition of more timely electronic health data. Additionally, the implementation of the Meaningful Use provisions of the HITECH Act presents public health agencies (PHAs) with a chance to develop systems that enhance public health monitoring, prevention, and response activities through the use of novel data sources.

This guide offers standardized specifications to Eligible Hospitals (EHs) and Critical Access Hospitals (CAHs) for the electronic transfer of Syndromic Surveillance (SS) data from hospital Certified Electronic Health Records technology (CEHRT) to the BioSense 2.0 system for SS reporting. This guide will provide an overview of the type of data being collected, the suppliers of the data, the system collecting the information, and the format needed for successful submission of Syndromic Surveillance data to ADHS.

Submitted by uysz on
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