My Growth Charts

Why implement electronic growth charts?

The benefits of an electronic Growth Charts over paper-based charts are apparent in several ways:
  1. It improves the ability to monitor the health and development of a child through increased observations as it embeds into clinical workflow.1
  2. It centralizes data management through interactive charting, manipulation of measurement data, standardized calculations (z-scores, exact percentage points), and customizable user preferences and patient characteristics (specialty charts for premature infants and syndrome charts).2
  3. It facilitates compliance with 2 of the core quality “Meaningful use” requirements of the Health Information Technology for Economic and Clinical Health Act (HITECH).3
    • Adult Weight Screening and Follow-Up (0421 QIP) - Percentage of patients aged 18 years and older with a calculated BMI in the past six months or during the current visit documented in the medical record AND if the most recent BMI is outside parameters, a follow-up plan is documented.4
    • Weight Assessment and Counseling for Children and Adolescents (0024 NCQA) - Percentage of patients 2 -17 years of age who had an outpatient visit with a Primary Care Physician (PCP) or OB/GYN and who had evidence of BMI percentile documentation, counseling for nutrition and counseling for physical activity during the measurement year.4

  1. Development of a domain model for the pediatric growth charting process by mapping to the HL7 Reference Information Model. Rocca MA, Rosenbloom ST, Spooner A, Nordenberg D. AMIA Annu Symp Proc. 2006:1077. PubMed PMID: 17238696; PubMed Central PMCID: PMC1839441.
  2. Implementing pediatric growth charts into an electronic health record system. Rosenbloom ST, Qi X, Riddle WR, Russell WE, DonLevy SC, Giuse D, Sedman AB, Spooner SA. J Am Med Inform Assoc. 2006 May-Jun;13(3):302-8. Epub 2006 Feb 24. PubMed PMID: 16501182; PubMed Central PMCID: PMC1513651.
  3. Health Information Technology for Economic and Clinical Health Act (HITECH)
  4. Meaningful Use Criteria