Harnessing Data Science Through Healthcare IT Interoperability

The ability to harness data science for use in improving population health and public health surveillance begins with the application of interoperability standards to electronic messaging for data exchange between HIT used by public health authorities (PHAs) and the providers who submit patient data to them. When electronic transmissions between these entities are not based on interoperability standards, the patient data that are exchanged may be incomplete, inaccurate, invalid, and/or untimely.

June 18, 2019

A Semantic Platform for Surveillance of Adverse Childhood Experiences

Adverse Childhood Experiences (ACEs) have been linked to a variety of detrimental health and social outcomes. In the last 20 years, the association between ACEs with several adult health risk behaviors, conditions, and diseases including suicides, and substance abuse, mental health disturbances and impaired memory, nervous, endocrine and immune systems impairments, and criminal activities have been studied. One of the challenges in studying and timely diagnosis of ACEs is that the links between specific childhood experiences and their health outcomes are not totally clear.

June 18, 2019

Improving Syndromic Data Quality through Implementation of Error Capture Module

Oregon Public Health Division (OPHD), in collaboration with The Johns Hopkins University Applied Physics Laboratory, implemented Oregon ESSENCE in 2011. ESSENCE is an automated, electronic syndromic surveillance system that captures emergency department data from hospitals across Oregon. While each hospital system sends HL7 2.5.1-formatted messages, each uses a uniquely configured interface to capture, extract, and send data. Consequently, ESSENCE receives messages that vary greatly in content and structure.

January 25, 2018

A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems

In 2015, there were 212 million new cases of malaria, and about 429,000 malaria death, worldwide. African countries accounted for almost 90% of global cases of malaria and 92% of malaria deaths. Currently, malaria data are scattered across different countries, laboratories, and organizations in different heterogeneous data formats and repositories. The diversity of access methodologies makes it difficult to retrieve relevant data in a timely manner. Moreover, lack of rich metadata limits the reusability of data and its integration.

January 25, 2018

Advancing PH Emergency Preparedness Informatics to Support Emergency Responses

The purpose of this project is to demonstrate progress in developing a scientific and practical approach for public health (PH) emergency preparedness and response informatics (EPRI) that supports the National Health Security Strategy and Global Health Security Agenda (GHSA) objectives. PH emergency operations centers (EOC) contribute to health security objectives because they operationalize response, recovery and mitigation activities during national and international PH events.

May 25, 2017

An Informatics Framework to Support Surveillance System Interoperability in Minnesota

The Minnesota Department of Health (MDH) needs to be able to collect, use, and share clinical, individual-level health data electronically in secure and standardized ways in order to optimize surveillance capabilities, support public health goals, and ensure proper follow-up and action to public health threats.

May 26, 2017

Integrating Poison Center Data into Oregon ESSENCE using a Low-Cost Solution

Oregon Public Health Division (OPHD), in collaboration with the Johns Hopkins University Applied Physics Laboratory, implemented Oregon ESSENCE in 2012. Oregon ESSENCE is an automated, electronic syndromic surveillance system that captures emergency department data. To strengthen the capabilities of Oregon ESSENCE, OPHD sought other sources of health-outcome information, including Oregon Poison Center (OPC). In the past, Oregon’s surveillance staff manually monitored OPC data on the National Poison Data Service (NPDS) website.

July 10, 2017

NEDSS Base System (NBS): Electronic Data Exchange and Workflow Decision Support

The NBS is an integrated disease surveillance system deployed in 22 public health jurisdictions to support receipt, investigation, analysis and reporting, and data exchange for state reportable conditions. The NBS is governed by the Centers for Disease Control and Prevention (CDC) and state, local, and territorial users that make up the NBS Community. In the early 2000’s, electronic laboratory results reporting (ELR) was implemented in an effort to improve timeliness and completeness of disease reporting.

July 17, 2017

The Public Health Community Platform: Implementing Electronic Case Reporting

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

September 21, 2017

HIT Conformance Testing: Advancing Syndromic Surveillance System Interoperability

Speed, reliability, and uniformity of data collection enable syndromic surveillance (SyS) systems to provide public health authorities (PHAs) with timely information about community health threats and trends. Increasingly, healthcare information technology (HIT) is being used to accelerate and automate data collection for more real-time surveillance, reducing irregularity in how SyS data are packaged and sent by healthcare providers.

August 31, 2017

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NSSP Community of Practice

Email: syndromic@cste.org

 

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