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Meaningful Use

Description

Understanding your data is a fundamental pillar of disease surveillance success. With the increase in automated, electronic surveillance tools many public health users have begun to rely on those tools to produce reports that contain processed results to perform their daily jobs. These tools can focus on the algorithm or visualizations needed to produce the report, and can easily overlook the quality of the incoming data. The phrase “garbage in, garbage out” is often used to describe the value of reports when the incoming data is not of high quality. There is a need then, for systems and tools that help users determine the quality of incoming data.

Objective

The objective of this project was to develop visualizations and tools for public health users to determine the quality of their surveillance data. Users should be able to determine or be warned when significant changes have occurred to their data streams, such as a hospital converting from a free-text chief complaint to a pick list. Other data quality factors, such as individual variable completeness and consistency in how values are mapped to standard system selections should be available to users. Once built, these new visualizations should also be evaluated to determine their usefulness in a production disease surveillance system.

Submitted by teresa.hamby@d… on
Description

Timeliness of emergency room (ER) data is arguably its strongest attribute in terms of its contribution to disease surveillance. Timely data analyses may improve the efficacy of prevention and control measures. There are a number of studies that have looked at timeliness prior to the advent of Meaningful Use, and these studies note that ER data were not fast enough for them to be useful in real time2,3. However, the change in messaging practices in the Meaningful Use era potentially changes this. Other studies have shown that changes in processes and protocol can dramatically improve timeliness1,4 and this motivates the current study of timeliness to identify processes that can be changed to improve timeliness.

Objective:

To explore the timeliness of emergency room surveillance data after the advent of federal Meaningful Use initiatives and determine potential areas for improvement.

Submitted by elamb on
Description

With increasing availability of syndromic meaningful use data, new approaches to disease surveillance utilizing linkages to other data systems are possible. Expanded communicable disease information may be valuable during outbreaks or other public health emergencies. San Diego County is experiencing a significant and protracted hepatitis A outbreak. The disease has been transmitted person-to-person through close contact or through a fecally-contaminated environment, and has been primarily affecting homeless people and injection and non-injection illicit drug users. As of August 31, 2017, there were nearly 400 cases with 15 deaths. Approximately, 70% of the cases were hospitalized. This is one of the nation’s largest hepatitis A outbreaks since the introduction of the hepatitis A vaccine in 1995. Additional cases are expected over the next twelve months. The population affected by this outbreak presents some challenges for outbreak response. It is often a difficult population to reach. In addition, many have multiple comorbidities and often have health care seeking behaviors that differ from the general population. Using the medical record number (MRN) to link hepatitis A disease cases from the communicable disease registry to syndromic HL7 messages for emergency department visits and hospitalizations enabled the identification of additional hospital encounters the cases may have had before, during, or following their hepatitis A disease incident. This allowed an exploration of the ways in which this unique population interacted with the health care system in the context of a communicable disease outbreak. This presentation will highlight the steps to link information across surveillance systems, the results, the challenges, and the benefits of linked information to public health departments.

Objective:

To describe how the County of San Diego linked information from a communicable disease registry and syndromic surveillance system to further describe cases associated with a large hepatitis A outbreak. Specifically, to detail the linkage process which resulted in a longitudinal understanding of individuals’ hospital visits before, during, and after the reported hepatitis A incident.

Submitted by elamb on
Description

In 2005, the Cook County Department of Public Health (CCDPH) began using the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) as an emergency department (ED)-based local syndromic surveillance program (LSSP); 23 (100%) of 23 hospitals in suburban Cook County report to the LSSP. Data are transmitted in delimited ASCII text files (i.e., flat files) and contain a unique patient identifier, visit date and time, zip code, age, sex, and chief complaint. Discharge diagnosis and disposition are optional data elements. Prior to 2017, the Illinois Department of Public Health placed facilities participating in the Cook LSSP in a holding queue to transform their flat file submissions into a HL7 compliant message; however as of 2017, eligible hospitals must submit HL7 formatted production data to IDPH to fulfill Meaningful Use. The primary syndromic surveillance system for Illinois is the National Syndromic Surveillance Program (NSSP), which transitioned to an ESSENCE interface in 2016. As of December 2016, 20 (87%) of 23 hospitals reporting to the LSSP also reported to IDPH and the NSSP. As both syndromic surveillance systems aim to collect the same data, and now can be analyzed with the same interface, CCDPH sought to compare the LSSP and NSSP for data completeness, consistency, and other attributes.

Objective:

This analysis was undertaken to determine how the data completeness, consistency, and other attributes of our local syndromic surveillance program compared to the National Syndromic Surveillance Platform.

Submitted by elamb on
Description

As syndromic surveillance reporting became an optional activity under Meaningful Use Stage 3 and incentive funds are slated to end completely in 2021, Washington State sought to protect syndromic reporting from emergency departments. As of December 2016, Washington State emergency departments had received $765,335,529.40 in incentive funding, with facilities receiving an average of three payments of $479,974.04 each.1 Considering the public health importance of syndromic surveillance reporting and the fiscal impact of mandatory reporting, the Washington State Department of Health (WA DOH) sought a new statute to require reporting from all emergency departments within the state.

Objective:

To protect syndromic surveillance data reporting from emergency departments in Washington State beyond the cessation of Meaningful Use incentive funding in 2021.

Submitted by elamb on
Description

Meaningful Use (MU) Stage 2 public health reporting for Eligible Professionals (EPs) included a menu option for ambulatory syndromic surveillance. Review of currently existing models lead to a collaboration between the Illinois Health Information Exchange (ILHIE) and IDPH to build services that would support the use of the MPI, a database that can uniquely match records across systems. The MPI providers a mechanism for public health to manage multiple data streams, while maintaining confidentiality of health information and supporting the mission of public health to identify patterns of illness, apply effective interventions and conduct program evaluation. This initiative will allow IDPH to extend the use of the MPI to other surveillance domains, including hospital discharge, communicable disease, cancer and extensively drug resistance organism reporting.

Objective

This presentation will describe public health efforts to improve data collection by utilizing technology that supports record linkage through the implementation of the Master Patient Index (MPI). The initial use case will be applied to ambulatory syndromic surveillance at Illinois Department of Public Health (IDPH). It will include applications for incorporating the MPI into currently existing public health surveillance data and benefits to data integration and bidirectional information exchange.

Submitted by teresa.hamby@d… on

In response to the Meaningful Use roundtable discussion at the 2011 ISDS Conference in Atlanta, Georgia, ISDS has established a monthly community conference call open to anyone interested in issues relating to Meaningful Use. The purpose of this call is to bring together various stakeholders with a vested interest in this field and spark collaborative efforts to share guidance, resources, and technical assistance.

Submitted by elamb on

Expert panelists Art Davidson (Denver Health) and Julia Gunn (Boston Public Health Commission), whose respective organizations were 2009 Davies Awards recipients, gave a 30 minute webinar on Meaningful Use and electronic health record technology. This webinar aimed to assist attendees in gaining a better understanding of Meaningful Use, how it may impact their surveillance work, and how they can work with ISDS to represent their perspectives and that of their local or state health agencies.

A webinar hosted by the ISDS and the Distribute Community of Practice on March 5th, 2010.