![Childhood Obesity Data Initiative](https://webarchive.library.unt.edu/web/20201221141651im_/https://wcms-wp.cdc.gov/obesity/initiatives/codi/images/1-codi-banner.png)
Childhood Obesity Data Initiative
![Research that assesses childhood obesity interventions is limited because researchers cannot easily link pediatric health-related data stored across different health information systems to assess what interventions are effective. Research that assesses childhood obesity interventions is limited because researchers cannot easily link pediatric health-related data stored across different health information systems to assess what interventions are effective.](https://webarchive.library.unt.edu/web/20201221141651im_/https://www.cdc.gov/obesity/initiatives/codi/images/3-data-challenge.png)
The Data Challenge
Research that assesses childhood obesity interventions is limited because researchers cannot easily link pediatric health-related data stored across different health information systems to assess what interventions are effective.
Child health data, including clinical information, social health determinants, weight management programs, and geographic markers are maintained throughout communities in many separate information systems operated by hospitals, provider networks, and clinical and community-based programs.
To improve data capacity for childhood obesity research, the U.S. Centers for Disease Control and Prevention (CDC) is leading the Childhood Obesity Data Initiative (CODI) to leverage existing information technology tools in innovative ways to facilitate access to childhood obesity data across health systems and sectors.
CODI will bring together data stored across different organizations to create an individual-level, linked longitudinal record that includes individual and community-level risk factors, weight management interventions delivered in clinical and community settings, and clinical outcomes across health information systems.
Broader Access to Standardized Data
CODI will build on the existing, clinically focused Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM) by piloting -through the addition of ancillary tables to the CDM-improved access to social determinants of health, geographic risk markers, and information about participation in clinical and community weigh management programs.
Privacy Preserving Record Linkage
CODI will allow researchers to link a child’s records across health information systems and community-based programs while protecting individuals’ personally-identifiable information. Through Privacy Preserving Record Linkage (PPRL), a child’s information is encoded in a secure, private format behind a firewall prior to sharing, through a process called data hashing. CODI uses these hashed data to link records across systems and programs.
![CODI will build on the existing, clinically focused Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM) by piloting -through the addition of ancillary tables to the CDM-improved access to social determinants of health, geographic risk markers, and information about participation in clinical and community weigh management programs. CODI will build on the existing, clinically focused Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM) by piloting -through the addition of ancillary tables to the CDM-improved access to social determinants of health, geographic risk markers, and information about participation in clinical and community weigh management programs.](https://webarchive.library.unt.edu/web/20201221141651im_/https://www.cdc.gov/obesity/initiatives/codi/images/5-standardized-data.png)
Distributed Data Network
CODI will allow scientists and researchers to query information from multiple data sources across IT systems and sectors to create a more comprehensive longitudinal record about a child.
![DI will allow scientists and researchers to query information from multiple data sources across IT systems and sectors to create a more comprehensive longitudinal record about a child. DI will allow scientists and researchers to query information from multiple data sources across IT systems and sectors to create a more comprehensive longitudinal record about a child.](https://webarchive.library.unt.edu/web/20201221141651im_/https://www.cdc.gov/obesity/initiatives/codi/images/7-solution.png)
CODI will be piloted in Denver, Colorado using the Colorado Health Observation Regional Data Service (CHORDS). CHORDS operates a PCORnet-compatible data model called the CHORDS Virtual Data Warehouse.
Pilot participants include Denver Health, Children’s Hospital Colorado, and Kaiser Permanente Colorado. Other potential clinical and community partners are being considered. The pilot is anticipated to go live in late 2020.