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Davidson Arthur

Description

IIS have effectively increased vaccination rates through targeted engagement and outreach, often with clinicians and patients. Little has been published around IIS use for generating meaningful population health measures. To leverage IIS data for sub-county population health measures, new tools are required to make IIS data easily accessed for this distinct use case. Human papillomavirus (HPV), the most common sexually transmitted infection in the United States, has a highly effective (97%) vaccine to prevent infection when administered to individuals 9-26 years old. According to the National Immunization Survey, only 47% of Colorado females 13-17 years had completed the HPV vaccine series in 2011. In 2012, Denver metropolitan health departments were awarded a three year grant to support the Alliance for HPV Free Colorado, where media and clinic coaching were used to improve HPV vaccination coverage among adolescents (11-17 years) in Adams, Arapahoe, Denver, Douglas, and Jefferson counties. Recent HPV vaccination schedule changes from three to two required doses highlighted further challenges in monitoring vaccination UTD rates.

Objective: To describe a business intelligence system designed to reprocess and utilize an immunization information system's (IIS) data to visualize, and track population trends in immunization coverage in an urban population.

Submitted by elamb on
Description

For more than a decade, biosurveillance systems (and more recently BioSense) have been employed in the United States. Efforts to drastically expand these surveillance capacities have been a national priority given concerns about national security. However, there has been little emphasis on value or increasing value to communities or agencies contributing and analyzing data. This qualitative analysis focused on all biosurveillance stakeholders and the opportunity to enhance interoperability and reuse of data and systems.

 

Objective

To understand the perspective of biosurveillance stakeholders and how their participation creates value for them as well as public health departments.

Submitted by elamb on
Description

Communicable diseases are underreported by physicians, especially diseases without laboratory tests. The goals of our study were to determine reporting levels for clinical chickenpox, describe clinical data elements common to chickenpox, and assess ability of an electronic syndromic surveillance system, BioSense, to capture chickenpox cases.

Submitted by elamb on
Description

Opioid ODs have been rising globally and nationally. The death rate from ODs in the United States has increased 137% since 2000, including a 200% increase of OD deaths involving opioids1. The pilot project, a collaboration across 3 states, allowed information sharing with Syndromic surveillance (SyS) partners across jurisdictions, such as sharing a standard SyS case definition and verifying its applicability in each jurisdiction. This is a continuation of the work from an initial pilot project presented during the ISDS Opioid OD Webinar series.

Objective:

The objective is to develop a standard opioid overdose case definition that could be generalized nationally

Submitted by elamb on
Description

Timely access to Emergency Department (ED) Chief Complaint (CC) data, before the definitive diagnosis is established, allows for early outbreak detection and prompt response by public health officials.BioSense 2.0 is a cloud-based application that securely collects, tracks, and shares ED data from participating hospitals around the country. Denver Health (DH) is one of several Colorado hospitals contributing ED Chief Complaint data to BioSense 2.0. In August 2013, ED clinicians reported an increase in patients presenting with excited delirium, possibly related to synthetic marijuana (SM). We used this event to test the use of CC field of ED data for detection of a novel public health event (i.e., serious adverse events related to synthetic marijuana use) not currently categorized in the BioSense syndromic surveillance library.

Objective

The aims of this presentation is to use ED chief complaint data, to test BioSense 2.0 for detection of a novel public health event (i.e., serious adverse events related to synthetic marijuana use) not currently categorized in the BioSense syndromic surveillance library.

Submitted by uysz 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.

Two public health practitioners will describe their experiences collaborating with University researchers to develop and evaluate new informatics tools for public health. They will identify factors that led to the successes and failures in those collaborations.

Panelists

Joe Gibson, MPH, PhD, Director of Epidemiology - Marion County Public Health Department

Arthur Davidson, MD, MPH, Director of Public Health and Informatics - Denver Health

Date and Time

Description

Recently signed in Denver, the Paris Declaration demonstrates a collective resolution to end AIDS by continually monitoring these goals. However siloed data and in/out migration results in poor capacity to track population level care indicators for persons living with HIV (PLWH). Surveillance should not only enumerate PLWH but also support prevention and care programming (1). We designed and implemented the HIV Data to Care Tool to describe the continuum, from case finding to HIV care. This study describes a system to combine data sources to inform local HIV surveillance, outreach, and care. Development objectives included targeted community and clinical interventions and evaluation, user defined reports to identify subpopulation disparities, and a persistent data visualization readily available to stakeholders.

Objective

To describe Denver Public Health’s model for designing a business intelligence (BI) tool for HIV surveillance and outreach and the impact after implementation.

Submitted by Magou on
Description

NSSP, a Centers for Disease Control and Prevention (CDC) surveillance system, allows timely detection of emergency department (ED) trends by matching chief complaint (CC) text or diagnosis (DX) codes to established syndrome criteria [1, 2]. No CDC syndrome definition currently exists for marijuana-related visits. Accidental child ingestions and over-consumption of edible products are an emerging concern [3, 4]. A validated marijuana syndrome will allow health departments with access to ED data to measure relative trends and disparities in marijuana-related ED visits.

Objective

To evaluate methods of measuring marijuana-related emergency department visits at Denver metropolitan area hospitals participating in the National Syndromic Surveillance Program (NSSP).

Submitted by Magou on
Description

Clostridium difficile (CD), a gram-negative, anaerobic, sporeforming bacterium causes symptoms ranging from mild to severe diarrhea and may result in death. Approximately 75% of CDI cases have symptom onset outside of health care settings. Annual US costs of treatment and infection containment have surpassed $4.8 billion. Risk factors for CDI include recent broad-spectrum antibiotic exposure, advanced age, severe underlying morbidities, immunocompromised status, long-term hospital stays, and residence in long-term-care facilities. Nationally, CO-CA cases have increased from 2.8/100,000 person in 1993 to 14.9/100,000 person in 2005.

Objective

Identify population-based Clostridium difficile infection (CDI) incidence stratified by Health Care Facility Onset (HCFO), Community Onset-Healthcare Facility Associated (CO-HCFA), and Community Onset-Community Associated (CO-CA) CDI in Denver County from 2011 - 2013 and describe demographic, health care facility exposure, and medication use risk factors.

Submitted by teresa.hamby@d… on