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First published February 24, 2006 as JAMIA PrePrint; doi:10.1197/jamia.M1944
Journal of the American Medical Informatics Association 2006;13(3):302-308
© 2006 American Medical Informatics Association

A more recent version of this article appeared on May 1, 2006
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Submitted on August 25, 2005
Accepted on January 11, 2006

Implementing Pediatric Growth Charts into an Electronic Health Record System

S. Trent Rosenbloom MD, MPH1*, XiaoFeng Qi2, William R. Riddle PhD3, William E. Russell MD4, Susan C. DonLevy MSN, MPH5, Dario Giuse DrIng2, Aileen B. Sedman MD6, and S. Andrew Spooner MD, MS7

Affiliation of the authors: 1 Department of Biomedical Informatics, Vanderbilt University, Nashville, TN; Department of Pediatrics, Vanderbilt University, Nashville, TN; School of Nursing, Vanderbilt University, Nashville, TN; 2 Department of Biomedical Informatics, Vanderbilt University, Nashville, TN; 3 Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN; 4 Department of Pediatrics, Vanderbilt University, Nashville, TN; Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN; 5 Department of Pediatrics, Vanderbilt University, Nashville, TN; 6 University of Michigan Medical Center, Ann Arbor, MI; 7 Department of Pediatrics, University of Tennessee College of Medicine, Memphis, TN

* To whom correspondence should be addressed.

Electronic Health Record (EHR) systems are increasingly being adopted in Pediatric practices; however, requirements for integrated growth charts are poorly described and are not standardized in current systems. We integrated growth chart functionality into an EHR system being developed and installed in a multi-specialty pediatric clinic in an academic medical center. During a three-year observation period, rates of electronically documented values for weight, stature and head circumference increased from fewer than 10 total per weekday, up to 488 weight values, 293 stature values and 74 head circumference values (P<0.001 for each measure). By the end of the observation period, users accessed the growth charts an average 175 times per weekday, compared to 127 patient visits per weekday to the sites that most closely monitored pediatric growth. Because EHR systems and integrated growth charts can manipulate data, perform calculations and adapt to user preferences and patient characteristics, users may expect greater functionality from electronic growth charts than from paper-based growth charts.




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S. A. Spooner and and the Council on Clinical Information Technology
Special Requirements of Electronic Health Record Systems in Pediatrics
Pediatrics, March 1, 2007; 119(3): 631 - 637.
[Abstract] [Full Text] [PDF]


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