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Electronic Case Reporting (eCR)

Description

As the knowledge required to support case reporting evolves from unstructured to more structured and standardized formats, it becomes suitable for electronic clinical decision support (CDS). CDS for case reporting confronts two challenges: a) While EHRs are moving toward local CDS capabilities, it will take several years for EHR systems to consistently support this capability; and b) public health-related CDS knowledge, such as Zika infection detection and reporting rules, may differ from jurisdiction to jurisdiction. Therefore, there is an ongoing need to manage reporting rules in a distributed manner. Similarly, there is a need for more decentralized models of CDS execution to overcome some of the disadvantages of centralized deployment and to leverage local CDS capabilities as they become available over the next several years.

Objective: To discuss how clinical decision support (CDS) for electronic case reporting (eCR) will evolve over time to provide multiple deployment models

Submitted by elamb on
Description

Communicable disease reporting from providers can be a time-consuming process that results in delayed or incomplete reporting of infectious diseases, limiting public health's ability to respond quickly to prevent or control disease. The recent development of an HL7 standard for automated Electronic initial case reports (eICR) represents an important advancement for public health surveillance. The Illinois Department of Public Health (IDPH) participated in a pilot with the Public Health Informatics Institute and an Illinois-based provider group to accept eICR reports for Gonorrhea and Chlamydia.

Objective: Comparison of content in eCR and ELR cases reporting Review technical challenges and strategies for data management

Submitted by elamb on
Description

Reporting allows for the collection of statistics that show how often disease occurs, which helps researchers identify disease trends and track disease outbreaks. U.S. Navy has a modified list of reportable medical events to accommodate for deployment limiting functions. Reports on all reportable events are submitted to the Naval Disease Reporting System (NDRS). Medical event surveillance is particularly important in the military populations where medical events can have mission-degrading implications and affect troop strength.

Objective

The purpose of the study was to determine whether, through the use of existing electronic laboratory and clinical care databases, it is possible to capture the majority of reportable disease cases, and remove the burden of case finding from the commands through NDRS. Establishment of a more efficient reporting system was proposed to provide more timely disease reporting and aid in active disease surveillance.

Submitted by elamb on
Description

The National Notifiable Disease Surveillance System (NNDSS) comprises many activities including collaborations, processes, standards, and systems which support gathering data from US states and territories. As part of NNDSS, the National Electronic Disease Surveillance System (NEDSS) provides the standards, tools, and resources to support reporting public health jurisdictions (jurisdictions). The NEDSS Base System (NBS) is a CDC-developed, software application available to jurisdictions to collect, manage, analyze and report national notifiable disease (NND) data. An evaluation of NEDSS with the objective of identifying the functionalities of NC systems and the impact of these features on the user’s culture is underway.

 

Objective

The culture by which public health professionals work defines their organizational objectives, expectations, policies, and values. These aspects of culture are often intangible and difficult to qualify. The introduction of an information system could further complicate the culture of a jurisdiction if the intangibles of a culture are not clearly understood. This report describes how cultural modeling can be used to capture intangible elements or factors that may affect NEDSS-compatible (NC) system functionalities within the culture of public health jurisdictions.

Submitted by hparton on
Description

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

Public health agencies have to work with a several disparate systems, a lack of robust reporting capabilities, and a lack of standardized surveillance, along with inherent funding challenges. The purpose of this analysis is to help state and local health departments explore the potential of available surveillance systems to meet their needs, framing the landscape of the EDSS world so that they can make informed surveillance IT decisions. The analysis represents a point-in-time snapshot of the functionality of these systems.

Submitted by uysz on
Description

The PHCP is a community-led initiative to provide shared infrastructure, services, and applications to the public health community as solutions for complex public health informatics problems. The project has progressed by establishing a governance structure led by an executive committee representative of the public health practice community. The executive committee has established the strategic path for the continued development of the PHCP and prioritized eCR as the initial use case for implementation.

Objective

To inform the community on the progress of electronic case reporting (eCR) utilizing the shared infrastructure and applications of the Public Health Community Platform (PHCP).

Submitted by rmathes on
Description

Taking into account reporting delays in surveillance systems is not methodologically trivial. Consequently, most use the date of the reception of data, rather than the (often unknown) date of the health event itself. The main drawback of this approach is the resulting reduction in sensitivity and specificity1. Combining syndromic data from multiple data streams (most health events may leave a “signature” in multiple data sources) may be performed in a Bayesian framework where the result is presented in the form of a posterior probability for a disease2.

Objective

We apply an empirical Bayesian framework to perform change point analysis on multiple cattle mortality data streams, accounting for delayed reporting of syndromes.

Submitted by Magou on
Description

Rabies is an infectious disease which was and remains to be one of the most serious diseases of all species of hematothermal animals and humans, in many regions of the world. The epizootic situation on rabies in the Republic of Azerbaijan has been unfavorable for many years, which is confirmed by scientific data and the veterinary cases reporting in the EIDSS system. This system was introduced in the country in 2009 and is the electronic System of disease control. The program allows to provide monitoring and prevention of diseases within the concept “One World - One Health System” by integration of systems of observation of animal diseases, human diseases, and disease carriers.

Objective

to show the instability of an epizootic situation on rabies cases of animals in the Republic of Azerbaijan, on the example of the cases analysis in Electronic Integrated Disease Surveillance System (EIDSS) electronic reporting system

 

Submitted by Magou on