AMIA and Indiana University Perdue University Indianapolis (IUPUI) are sponsoring a new 10×10 course focusing on health information exchanges. The goal of the AMIA-IUPUI 10×10 course is to explore the electronic exchange of data, information and knowledge between clinical and public health organizations in support of population health. Students will examine the strategic, organizational, legal, technical, and socio-political aspects of clinical and public health information exchange in the United States and abroad. The course is already underway but the instructors are still able to take new students. Additional information is available at: https://www.amia.org/10×10-iupui-course-description
Please check out this new tool from ISDS and CSTE that will help public health professionals navigate the transition from ICD-9-CM to ICD-10 CM.
Session Title: NYC Macroscope Electronic Health Record Surveillance System: Preliminary Validation Results
Date: Thursday, August 20, 2015
Time: 3:00 pm Eastern Time / 2:00 pm Central Time / 1:00 pm Mountain Time / 12:00 pm Pacific Time
Session Description: Data from electronic health records offer great promise for expanding the coverage, scope and granularity of population health surveillance, but little is known about how EHR-based measures should be defined and interpreted outside of the syndromic surveillance context. Here we describe the New York City Macroscope Electronic Health Record Surveillance system and our work to validate it against contemporaneous data from the New York City Health and Nutrition Examination Survey, and present population-level validation study results for smoking, and for hypertension prevalence, treatment and control.
- Announcements – (CDC and ONC) [5 minutes]
- NYC Macroscope Electronic Health Record Surveillance System: Preliminary Validation Results
- Future Directions in Population Health Surveillance: NYC HANES and Its Use in Validating Electronic Health Record Data – Sharon Perlman, MPH, Director of Special Projects, Division of Epidemiology, NYC Department of Health and Mental Hygiene
- Validation of Electronic Health Record Data for Population Health Surveillance – Katharine H. McVeigh, PhD, MPH, Director of Research, Division of Family and Child Health, New York City Department of Health and Mental Hygiene
- Question and Answer Session – [15 minutes]
Webinar Registration Instructions
Pre-register for this online event at: https://attendee.gotowebinar.com/register/6622823985119063809
After registering, you will receive a confirmation email containing information about joining the webinar. The invitation will include a link to add these recurring meetings to your calendar.
GoToWebinar System Requirements and Connectivity Test Information
View GoToWebinar System Requirements: http://support.citrixonline.com/s/G2W/Help/SystemRequirements
Connectivity Test Information: http://support.citrixonline.com/en_US/Webinar/all_files/G2W060001
EHR Meaningful Use Communications
Office of Public Health Scientific Services (OPHSS)
Centers for Disease Control and Prevention
Date: Tuesday, July 21, 2015
Time: 1:00 PM – 2:30 PM EDT
Debbie Travers, PhD, RN, CEN, FAEN
Associate Professor of Nursing and Emergency Medicine
Faculty, Carolina Health Informatics Program
School of Nursing, CB 7460
University of North Carolina at Chapel Hill
Chapel Hill, NC
In this webinar Dr. Travers will review two tools developed at the University of North Carolina at Chapel Hill, which aid in processing textual CC’s and triage notes in support of syndromic surveillance.
Textual data from emergency departments (EDs) is a common source of data for syndromic surveillance. In the last few years the adoption of electronic health records systems in EDs has improved the availability of timely electronic data from EDs for secondary uses however using these data for syndrome surveillance can still be problematic. Chief complaints from ED visits are a common data source for syndromic surveillance, but there is still no standard for documenting CC. EDs still customize their own CC pick lists, and additionally many allow free text entries. Another source of symptom data from EDs is triage notes, which are documented with methods such as point and click phrase builders and free text entry by ED nurses.
At the completion of this webinar participants will be able to:
- Identify tools for processing textual ED chief complaint and triage note data for syndromic surveillance.
- Describe the process for obtaining Emergency Medical Text Process (EMT-P) and the Unified Medical Language System (UMLS).
- Discuss the benefits and challenges of using triage notes for syndromic surveillance.
Learn more about this webinar on our website.
Join us for a webinar on Jul 15, 2015 at 12:00 PM MDT.
The adoption of ICD-10-CM/PCS is effective October 1, 2015 for medical claims. Public health programs that obtain data from multiple data sources may receive data in overlapping time periods without clear indication of which coding scheme (ICD-9 or ICD-10) was used.
Some data reporting entities are not covered by HIPAA and may not switch to ICD-10-CM on 10/1/2015 and some data reporting entities may choose to implement ICD-10-CM before 10/1/2015, given no prohibition against doing so.
To help programs and data users identify which coding scheme is used, the University of California at Davis (UCD) developed a SAS program.
Conversion Tool to the ICD-9 CM to ICD-10 CM Transition is made possible through funding from the Center for Surveillance, Epidemiology and Laboratory Services (CSELS) within the Office of Public Health Scientific Services (OPHSS) at the Centers for Disease Control and Prevention (CDC).
After registering, you will receive a confirmation email containing information about joining the webinar.
Thank you to everyone who was able to join the webinar “Tools and Apps to Enhance Situational Awareness for Global Disease Surveillance”. NACCHO has included the links to the resources and tools that Dr. Alina Desphande went over during her presentation. A copy of the slides is available below and a recording of the webinar can be found in the link below. Los Alamos National Labortory is looking for feedback on the tools so please review them and fill out their online feedback form.
Description: Situational awareness is important for early warning and early detection of infectious disease outbreaks and occurs at both local and global scales. Los Alamos National Laboratory (LANL) is developing a suite of tools to provide actionable information and knowledge for enhanced situational awareness during an unfolding event. These tools are available to the global disease surveillance community through the LANL biosurveillance gateway (http://bsv.lanl.gov, under “resources” tab) or through independent links provided with each tool description;
The Biosurveillance Resource Directory (BRD, http://brd.lanl.gov): A tool to facilitate obtaining disease surveillance information. Contains information on disease surveillance resources worldwide
The Biosurveillance Analytics Resource Directory (BARD, http://bard.lanl.gov/brd): A tool to rapidly select appropriate epidemiological models for infectious disease prediction, forecasting and monitoring. Currently includes information on models for Malaria, Cholera, Influenza, Dengue and Foot and Mouth Disease.
The Surveillance Window app (SWAP, http://swap.lanl.gov): An app to provide context and a frame of reference for disease surveillance information on an unfolding event, through matching of user input to a library of global historical disease outbreaks
Adobe Connect Recording
Game Plan: Communicable Disease Surveillance for Super Bowl XLVIII – New Jersey, 2014
Enhanced Epidemiologic Surveillance Efforts for Super Bowl XLIX and Super Bowl related events in Maricopa County, Arizona, 2015
Date: Thursday, May 7th, 2015
Time: 3:00 PM – 4:30 PM EDT (7:00 PM – 8:30 PM GMT)
Teresa Hamby, MSPH
Data Analyst, Communicable Disease Service
New Jersey Department of Health
Aurimar Ayala, MPH
Office of Epidemiology
Maricopa County Department of Public Health
In the summer of 2013, the New Jersey Department of Health (NJDOH) began planning for Super Bowl XLVIII to be held on February 2, 2014, in Met Life Stadium, located in the Meadowlands of Bergen County in northeast New Jersey. NJDOH Staff participated in the larger planning committee of the Department which was further coordinated at the state level by the New Jersey State Police and other law enforcement and emergency response agencies.
A principal component of NJDOH’s Super Bowl surveillance activities included the utilization of an existing online syndromic surveillance system, EpiCenter. EpiCenter, developed by Health Monitoring Systems, Inc. (HMS), incorporates statistical management and analytical techniques to process health-related data in real time. This presentation will review how surveillance activities were planned and implemented and discusses outcomes and post-event conclusions.
Super Bowl XLIX took place on February 1st, 2015 in Glendale, Arizona. In preparation for this large scale public event and related event activities, the Maricopa County Department of Public Health (MCDPH) was tasked with developing a plan for enhanced surveillance, situational awareness and methods for early detection of public health emergencies and outbreaks. A Public Health and Medical Resource Work Group and an Epidemiology Work Group with local, state and federal partners were organized and monthly meetings to discuss epidemiologic surveillance activities and develop a plan took place from July 2014 to January 2015. Fiesta Bowl (December 31st, 2014) scheduled to take place in the same location as Super Bowl, was selected to pilot test epidemiologic surveillance strategies.
Epidemiologic surveillance strategies were developed and coordinated to monitor levels of disease activity and provide situational awareness during Pro Bowl (January 25th, 2015), NFL Experience and Super Bowl Central (January 24th, 2015 through February 1st, 2015) and Super Bowl. Surveillance strategies were successfully tested during Fiesta Bowl. Field surveillance collected information on 4 distinct syndromes (gastrointestinal, respiratory, dermatological and neurological) as well as injuries. An aberration detection system was developed to detect increases in illness reported to the Arizona Medical Electronic Disease Surveillance System. Enhanced surveillance alerts for increases in illness were sent to healthcare partners and were in place during all monitored events. An enhanced animal surveillance network was also established. Biosense was monitored for syndromic surveillance at participating facilities. The Arizona Prehospital Information and EMS Registry System was also monitored for selected syndromes. Influenza-like illness surveillance for sentinel sites was in place. Poison Control Center data and mortality surveillance within an all hazards approach was also coordinated. MCDPH also monitored foodborne outbreaks and produced a daily outbreak report. Syndromic surveillance in hotels and urgent cares located within a 5 mile radius of the events was also conducted. In addition, the NFL clinic provided daily reports to MCDPH. The MCDPH Public Health Incident Command Center was activated and the Intelligence Section, responsible for epidemiologic surveillance, produced a daily Intelligence Section Report summarizing results from all surveillance efforts.
Learn more about this webinar on ISDS’s website.