Strategy Two
Update and Develop New Approaches to Surveillance in Response to the Changing Landscape of Available Data, Information, and Technology
STLTs can create a more modernized chronic disease surveillance system by enhancing existing data systems with non-traditional data.
Read more about ways you can improve current data sources and new approaches to traditional surveillance.
New Approaches to Strengthening Chronic Disease Surveillance Systems
Centers for Disease Control and Prevention (CDC)’s Chronic Disease Indicators (CDI)
State-level chronic disease data compiled from various data sources, including surveys, vital records, and administrative data, and applies standardized definitions to estimate and track a wide range of key indicators of chronic diseases and their risk factors. These CDIs on one easy-to-navigate central location can help inform evidence-based decision-making, policy development, and tailored efforts to improve population health outcomes.
Learn more about the Chronic Disease Indicators.
MDPHNet: Secure, Distributed Sharing of Electronic Health Record Data for Public Health Surveillance, Evaluation, and Planning
MDPHnet consists of a distributed network that provides the MDPH with the capacity to query clinical practices’ EHR data. The distributed network obviates the need for practices to send all of their EHR data to the health department; rather, electronic queries are distributed to participating practices for local execution behind their firewalls.
Geographical Precision of Rural Chronic Disease Surveillance in Sullivan County, NY
Sullivan County Public Health Services compared emergency department claims data with mailed health surveys to estimate the prevalence of chronic conditions. The claims data provided more geographically detailed maps of disease prevalence, particularly for conditions like diabetes and asthma, demonstrating the utility of alternative data sources in areas with limited surveillance infrastructure.
Improving Data Representativeness
Introduction to Application Programming Interfaces (APIs)
This course on CSTE Learn provides a clear, beginner-friendly introduction to APIs. It is designed for epidemiologists and public health professionals who are new to APIs. Over the course of six lessons, learners will explore what APIs are, how they work, and how they enable applications to communicate seamlessly. Learners will recognize the fundamentals of APIs.
PeoplePrism
PeoplePrism provides access to timely and rich data and includes interactive, geospatial mapping capabilities that can illuminate capability and service deserts, or sectors where demand exceeds supply or capabilities, by a user-defined area.
Utah Health Places Index (HPI)
A data and policy platform created to advance health equity through open and accessible data. The Utah HPI supports efforts to prioritize equitable community investments and develop critical programs and policies across the state. Neighborhood-by-neighborhood, the Utah HPI maps data on social conditions that drive health — like education, job opportunities, and transportation.
We All Count Talking Data Equity Series
Talking Data Equity is a weekly informal conversation and live Q&A on a variety of data equity topics. Topics include examples of how to handle missing data through an equity lens.
Toolkit Navigation
Foundational Concepts
Understand the core principles, key terminology, and initiatives grounding CSTE’s Chronic Disease Surveillance Data Modernization Strategic Plan
Implementation Actions and Strategies
Learn about the strategies and objectives outlined in CSTE’s Chronic Disease Surveillance Data Modernization Strategic Plan and explore tools for implementation
Implementation Stories
Draw from real-world examples of chronic disease surveillance across a range of jurisdictions with varying levels of experience and resources
Community and Collaboration
Identify and cultivate partnerships with other practitioners working on chronic disease surveillance modernization