Tag Archives: Data System Enhancement

Using Data Systems to Improve Maltreated Children’s Access to Early Intervention in Colorado

Conference: The Maternal and Child Health Epidemiology (MCHE) Conference Date: September 2016 Presenter: Taletha Derrington, Lenita Hartman, Christy Scott, Lorendia Schmidt, & Haidee Bernstein This poster describes the effect of the two data system enhancements on EI referrals and evaluation for eligibility among infants and toddlers with substantiated maltreatment in Colorado. Link to Poster

Start Using Process and Data Models

Screen shot of Data Models: Video Overview slide

Presenters: Robin Nelson (DaSy) & Bruce Bull (DaSy, CIID, IDC) This session introduces process and data models, excellent tools for improving communication between program and technical staff during data system development. Developing and using these models provides all parties a clear understanding of what the data system is (or will be) designed to do. The […]

Building a Better Data System: What Are Process and Data Models?

This 2016 document provides an overview of process modeling and data modeling and explains the value of each in the development or major enhancement of data systems. Process modeling and data modeling are important activities in data system development and particularly valuable for creating business requirements. By Robin Nelson & Bruce Bull Link to Document […]

Critical Questions About Early Intervention and Early Childhood Special Education

Red DaSy

This 2015 resource compiles a set of Critical Questions that a quality state data system for early intervention (EI) or early childhood special education (ECSE) should provide data to answer. The answers to these questions serve various functions, including supporting the state agency in effectively administering the program, meeting accountability requirements for EI and ECSE, […]