Displaying results 1 - 8 of 18
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Meaningful Use Rules and the PHIN Syndromic Surveillance Messaging Guide
Content Type: Webinar
Join the ISDS Public Health Practice Committee for a special meeting with Dr. Farzad Mostashari, the National Coordinator for Health Information Technology and founding president of ISDS. Following a brief discussion with Dr. Mostashari about… read more -
21st Century Health Care Demands New Models for Population Health Data Aggregation and Sharing: A Federated Approach
Content Type: Abstract
This paper describes the value of a distributed approach to population health efforts that span clinical research, quality measurement and public health. The goal of the paper is to challenge the traditional paradigm which relies on centralized data… read more -
A Controlled Vocabulary for "Reason for Visit" in Ambulatory Encounters
Content Type: Abstract
Objective: To enable improved health surveillance and clinical decision support within ambulatory Electronic Health Record (EHR) systems. -
Exploring Syndrome Definition by Applying Clustering Methods to Electronic Health Records Data
Content Type: Abstract
Electronic Health Record (EHR) data offers the researcher a potentially rich source of data for tracking disease syndromes. Procedures performed on the patient, medications… read more -
Automated Creation of High-Quality Maps Using SAS and Python
Content Type: Abstract
New York City ED syndromic surveillance data uses SaTScan to detect spatial signals. SaTScan analysis has been integrated into SAS since 2002, and signal maps have been generated from SAS since 2003. Signal maps are created occasionally to… read more -
Cluster Detection Incorporating Lagged Test Data
Content Type: Abstract
Using New York CityÃs dead bird surveillance for West Nile Virus (WNV), this paper presents two explorations of the spatial cluster detection problem in which lagged test results are available for a random subset of observations. First, we… read more -
Comparison of Ambulatory Electronic Health Record and Emergency Department Visit Log Data for Respiratory, Fever, and GI Syndromes
Content Type: Abstract
This paper describes three years of electronic health record (EHR) data from a network of urban ambulatory care clinics in New York City. -
Could Outpatient Visits Enhance Our Ability of Early Detecting Influenza-Like Illness Outbreaks?
Content Type: Abstract
This paper describes HHC outpatient data and evaluates the performance for early influenza-like illness (ILI) outbreak detection. We compare its detection ability to that of the emergency department (ED) data and of the two data sources… read more