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Electronic Health Record (EHR)

Description

In recent years, the threat of pandemic influenza has drawn extensive attention to the development and implementation of syndromic surveillance systems for early detection of ILI. Emergency department (ED) data are key components for syndromic surveillance systems. However, the lack of standardization for the content in chief complaint (CC) free-text fields may make it challenging to use these elements in syndromic surveillance systems. Furthermore, little is known regarding how ED data sources should be structured or combined to increase sensitivity without elevating false positives. In this study, we constructed two different models of ED data sources and evaluated the resulting ILI rates obtained in two different institutions.

Objective

To compare the influenza-like illness (ILI) rates in the emergency departments (ED) of a community hospital versus a large academic medical center (AMC).

Submitted by rmathes on
Description

Since the largest epidemic of Zaire ebolavirus (EBOV) in recorded history began in Guinea in December 2013, the epidemic has spread to neighboring countries of Liberia and Sierra Leone resulting in an estimation of over 27,000 total cases and over 11,000 deaths to date. In response to the widespread social disruption caused by this epidemic in West Africa, President Obama committed approximately 2,000 US service members to deploy to the region and provide humanitarian aid. US military physicians were called upon to evaluate service members returning from West Africa (WA) to rule out EVD. The US military also has a considerable number of beneficiaries who travel to WA to visit friends and relatives placing them at risk for exposure to EBOV and the development of illness upon returning to the US.

We are conducting an expanded surveillance program that employs a standard questionnaire that all providers can use when evaluating a patient at-risk for EVD that will also capture information from historical encounters. The data collected from the questionnaire will be used to assess the frequency with which clinicians are called to evaluate patients for EVD and the resources required. However, we realize that many encounters may not be captured with this method, especially those that are not high enough risk to require consultation with infectious disease (ID) specialists, and are developing ways to screen the Electronic Health Record (EHR) to find additional patients.

Objective

To present methods of screening chief complaints and laboratory orders to find patients who presented for Ebola Virus Disease (EVD) screening, in order to determine the impact Ebola concern had on the Military Health System (MHS).

Submitted by teresa.hamby@d… on
Description

Health care reform and the use of electronic health record systems is dramatically changing the health care landscape creating both challenges and opportunities for public health. High adoption of health information technology among Minnesota’s health care providers has created an opportunity to advance e-health by collecting and using these data to improve population health. It has been demonstrated that interoperable clinical data repositories can serve surveillance needs to support both public health and clinical care. Additionally, health reform is fostering the need for the collection of data to manage population health, compare and share data locally and across states for care coordination, and monitor cohorts and attributed populations. This project will provide a critical understanding of the status, challenges, and opportunities for leveraging the substantial investment in health care data systems to better support public health prevention programs, epidemiology, and surveillance to improve population health, address health disparities, and advance health equity.

Objective

This project describes the informatics characteristics of clinical data repositories among Minnesota health systems and their opportunities and readiness to support public health practice. The focus of the study is the use of these data for public health prevention programs and surveillance, including the opportunities to address health disparities. We examine technical, organization, and process readiness of repositories in support of epidemiology and other key public health programs, and how these data can be used as a statewide public health resource. 

Submitted by rmathes on
Description

In the current state of the health care system there is uneven access to primary care, and too many people struggling to navigate the system are receiving care in the hospital for issues that would be better dealt with in the community, and then are being readmitted to the hospital only days after leaving. To address these issues and improve efficient continuity of care, the Health Links program provides a new model of care at the clinical level in Ontario. In this model all of the patient’s health service providers in the community, including primary care, hospital, and community care, work together to create a coordinated care plan for the patient. The initial focus of Health Links is on highcost users. Health Links, and primary care as a whole, require comprehensive data analysis to effectively support patients and providers. SHIIP is a portal-based technology solution that enhances individual patient care while providing real-time feedback and summarized data to help plan care. The primary objective of SHIIP is to develop an Integrated Portal with core functionalities that will facilitate the sharing of information and enable person-centred care coordination. SHIIP aims to assists the success of Health Links by providing consistent maintenance and sharing of patient records, timely communication and collaboration between a patient’s multiple health care providers, and removing physical barriers through the virtualization of care processes. SHIIP is designed to identify and assist in the delivery of care for complex/high needs patients, and will facilitate reporting, performance monitoring and quality improvement efforts. Some of the anticipated benefits of SHIIP include: enhanced patient experience, reduced workflow duplication, improved access to information at point of care, more efficient clinical documentation, and improved health outcomes. Ultimately, SHIIP helps to improve access and quality of healthcare, and consequently health equity, especially for complex/high-needs patients.

Objective

To describe how the South Eastern Integrated Information Portal (SHIIP) will support the Health Links program with the delivery of care for patients, by facilitating reporting, performance monitoring and quality improvement efforts. The portal-based technology that SHIIP uses to integrate all of a patient’s clinical care information into summarized data and to provide real-time feedback will also be explained.

Submitted by Magou on
Description

Statutory veterinary disease surveillance generally focuses on food animals with only minimal resources committed to companion animals. However, the close contact between owners and pets suggests that disease surveillance in these species could benefit both animal and human health.

Following a successful pilot, SAVSNET Ltd. was set up as a joint venture between the University of Liverpool (UoL) and the British Small Animal Veterinary Association (BSAVA) to deliver companion animal health data for research and surveillance. SAVSNET consists of two projects: the first collates results from commercial diagnostic laboratories whilst the second collects data from enrolled veterinary practices for consultations where owners have provided consent by opt-out. Both projects have been approved by the UoL’s Research Ethics Committee and the aims are supported by the Royal College of Veterinary Surgeons (RCVS), the UK’s regulatory body for the veterinary profession.

Applications to use the data are encouraged and are assessed by a panel consisting of BSAVA, UoL and independent members. Data access attracts a nominal fee that is used for long-term sustainability. Currently, SAVSNET data is being used for a wide range of projects by academic collaborators, PhD researchers, undergraduate students and commercial companies.

Objective

SAVSNET—the Small Animal Veterinary Surveillance Network—collects and collates real-time data from veterinary diagnostic laboratories and veterinary practices across the UK to support research and disease surveillance in companion animals.

Submitted by teresa.hamby@d… on
Description

Processing free-text clinical information in an electronic medical record (EMR) may enhance surveillance systems for early identification of ILI outbreaks. However, processing clinical text using NLP poses a challenge in preserving the semantics of the original information recorded. In this study, we discuss several NLP and technical issues as well as potential solutions for implementation in syndromic surveillance systems.

Objective

To review the natural language processing (NLP) and technical challenges encountered in an automated influenza-like illness (ILI) surveillance system.

Submitted by teresa.hamby@d… on
Description

Dengue fever is a dynamic infectious disease, allowing the patient to rapidly move from one stage to another during its course. Proper management of patients depends on early recognition of warning signs, continuous monitoring and re-staging cases and prompt fluid replacement. The telemedicine and Electronic Patient Records (EPR) belong to a series of advances of new features such as decision-making support systems including efforts on health monitoring, in view of the EPR as a support tool to allow the association of welfare activities as a database for the management of epidemiological information and monitoring. In addition, telemonitoring systems can be used for the monitoring of patients with chronic diseases in their homes which leads to cost savings in hospitalization and ensures appropriate care and the proper development of these patients. The continuous remote monitoring of these patients decreases the amount of hospital visits for monitoring procedures, also facilitating successful treatment, as in the fever dengue cases.

Objective

Report successful experience in fighting dengue fever in the Hospital and Emergency Services in São Bernardo do Campo, joining the flowchart included, telephone monitoring and Electronic Patient Records.

Submitted by Magou on
Description

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. Continuing to focus on patient and population health outcomes, the on-going US federal program that certifies HIT to promote interoperability has mandated broader use of an updated standard for communication of SyS data. Under the Edition 2015 federal rule tied to Medicare and Medicaid reimbursement, hospitals, in addition to emergency departments and urgent care centers, are now required to provide SyS data to PHAs using HL7 2.5.1 messages that are in conformance with Release 2.0 of the CDC’s Public Health Information Network (PHIN) guide for SyS. To facilitate the intended application of this updated standard, a new version of conformance testing tools is being published, which will enable HIT developers to increase their probability of meeting the requirements outlined in the standard and lead to enhanced product interoperability and reliability.

Objective

Describe how the 2015 Edition of the National Institute of Standards and Technology’s (NIST) Syndromic Surveillance Messaging Validation Suite continues to support federal efforts to increase healthcare information technology interoperability for timelier public health surveillance in the US; and show how this tool is used to validate messages.

Submitted by aising on
Description

Traditional surveillance methods, such as registries that require manual validation of every diabetes case or questionnaires, are resource intensive and associated with considerable delay in reporting results. An EHR-based surveillance system may be more efficient for sustained monitoring of the incidence and prevalence of childhood diabetes, so as to inform health care needs for this growing population.

Objective

The study goal was to develop an efficient surveillance approach for childhood diabetes across two large Southeastern US public academic health care systems, using electronic health record (EHR) data.

Submitted by teresa.hamby@d… on
Description

The DoD provides daily outpatient and emergency room data feeds to the BioSense Platform within NSSP, maintained by the Centers for Disease Control and Prevention. This data includes demographic characteristics and diagnosis codes for health encounter visits of Military Health System beneficiaries, including active duty, active duty family members, retirees, and retiree family members. NSSP functions through collaboration with local, state, and federal public health partners utilizing the BioSense Platform, an electronic health information system.

Objective

The Department of Defense data is available to National Syndromic Surveillance Program (NSSP) users to conduct syndromic surveillance. This report summarizes the demographic characteristics of DoD health encounter visits.

 

 

Submitted by uysz on