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Specialized Pediatric Growth Charts For Electronic Health Record Systems: the example of Down syndrome
S Trent Rosenbloom1, Tracy L McGregor, Qingxia Chen
1Departments of Biomedical Informatics.
Insights
This study presents a method for creating specialized growth charts for children with Down syndrome, enabling better integration into electronic health record systems for improved growth monitoring.
Area of Science:
- Pediatric Health
- Medical Informatics
- Genetics
Background:
- Electronic health record (EHR) systems commonly use growth charts for pediatric care.
- Existing growth charts do not adequately serve subpopulations with unique growth patterns, like children with Down syndrome.
- Lack of standardized, implementable growth charts hinders monitoring for specific pediatric groups.
Purpose of the Study:
- To develop an approach for generating subpopulation-specific growth charts.
- To create gender-specific weight growth curves for children with Down syndrome.
- To ensure generated charts meet EHR implementation standards.
Main Methods:
- Generated gender-specific growth curves using weight data from 331 pediatric patients with Down syndrome.
- Collected 2358 weight measurements between July 2001 and March 2005.
- Formatted data tables and printable curves according to Centers for Disease Control and Prevention (CDC) growth chart standards.
Main Results:
- Successfully generated computable data tables and printable growth curves for children with Down syndrome.
- The generated data adheres to established growth chart standards for EHR integration.
- Provided a practical solution for monitoring growth in this specific pediatric subpopulation.
Conclusions:
- The described approach enables the creation of EHR-implementable growth charts for pediatric subpopulations.
- This methodology facilitates accurate growth monitoring for children with Down syndrome.
- The generated data and charts support healthcare providers in clinical decision-making for children with Down syndrome.
Abstract:
Electronic health record (EHR) systems serving pediatric populations typically incorporate growth charts to help healthcare providers monitor children's growth. Currently, easily implementable growth charts are not available for subpopulations having growth that differs from the population as a whole, such as children with Down syndrome. This manuscript describes an approach for generating subpopulation-specific growth charts meeting requirements for implementation into EHR systems, using as an example weights for children with Down syndrome. Gender-specific growth curves were generated from 2358 weight values obtained from 331 patients with Down syndrome from July 2001 until March 2005. The project generated printable curves and computable data tables formatted according to growth chart standards set forth by the Centers for Disease Control and Prevention to facilitate implementation into EHR systems. This approach will help developers implementing growth charts and provides actual data tables for monitoring growth in children with Down syndrome.
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