Algorithm to detect pediatric provider attention to high BMI and associated medical risk

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


We developed and validated an algorithm that uses combinations of extractable electronic-health-record (EHR) indicators (diagnosis codes, orders for laboratories, medications, and referrals) that denote widely-recommended clinician practice behaviors: attention to overweight/obesity/body mass index alone (BMI Alone), with attention to hypertension/other comorbidities (BMI/Medical Risk), or neither (No Attention). Data inputs used for each EHR indicator were refined through iterative chart review to identify and resolve modifiable coding errors. Validation was performed through manual review of randomly selected visit encounters (n = 308) coded by the refined algorithm. Of 104 encounters coded as No Attention, 89.4% lacked any evidence (specificity) of attention to BMI/Medical Risk. Corresponding evidence (sensitivity) of attention to BMI Alone was identified in 96.0% (of 101 encounters coded as BMI Alone) and BMI/Medical Risk in 96.1% (of 103 encounters coded as BMI/Medical Risk). Our EHR data algorithm can validly determine provider attention to BMI alone, with Medical Risk, or neither.

Original languageEnglish (US)
Pages (from-to)55-60
Number of pages6
JournalJournal of the American Medical Informatics Association
Issue number1
StatePublished - Jan 1 2019


  • body mass index
  • electronic health record
  • validation

ASJC Scopus subject areas

  • Health Informatics


Dive into the research topics of 'Algorithm to detect pediatric provider attention to high BMI and associated medical risk'. Together they form a unique fingerprint.

Cite this