New
Requirements for Supporting Statement A
GenIC
Request
for Approval under the
Generic Clearance for the Collection of Routine Customer Feedback
OMB Number 0920-1050
CDC eICR Data Project
Goal
of the study (e.g. determine behavioral factors that influence
changes in weight over time or evaluate program delivery
processes):
Electronic
Initial Case Report (eICR) data is generated by electronic health
record systems when an update is made to a patient encounter related
to a reportable condition. This data is sent to jurisdictions as a
signal for investigation into potential cases of these conditions.
EICR data contains the entire encounter record from the EHR in
highly technical format making it difficult for jurisdictions to
use. The goal of this study is to learn how to improve eICR data
format, composition, and provisioning to improve its acceptance by
jurisdiction case investigation systems. EICR data is generated
based on a standard which the CDC provides to make eICR data
interoperable amongst jurisdictions. This exploration intends to
improve those standards and associated tooling.
Intended
use of the resulting data (e.g., provide suggestions for improving
community-based programs):
With
these learnings, the CDC can recommend existing tools or prioritize
potentially new products that can help address the challenges (e.g.,
tools that can help with deduplication of data).
Methods
to be used to collect (e.g., prospective cohort design; randomized
trial; etc.):
15
semi-structured 1:1 interviews.
The
subpopulation to be studied
Participating
jurisdictions include Dallas
County Health and Human Services (DCHHS) and the Chicago Department
of Public Health (CDPH).
How
data will be analyzed
We
plan to review this information and summarize the themes to guide
product roadmaps and technical plans moving forward - i.e.,
answering the question: what enrichments could we add to the eICR
data to make it more usable and accessible for use in public health
investigations and activities?
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
Author | Beth H. Stover |
File Modified | 0000-00-00 |
File Created | 2025-05-19 |