Using Clinical Notes and Medical Codes to Identify Stimulant Use in Hospital Data  

Details

• Personal Author:
  Gidali, Doreen M. ; Adams, Nikki B. ; Shi, Minchan ; Mitchell, Dwayne L.
• Corporate Authors:
  National Center for Health Statistics (U.S.)
• Description:
  This white paper outlines the methodology used to develop the National Center for Health Statistics Stimulant Algorithm, an analytic resource that uses medical codes and text-based analysis of clinical notes to identify therapeutic and nontherapeutic stimulant use in hospital encounter data. It also describes how the algorithm was evaluated against gold-standard annotated data from the National Hospital Care Survey and summarizes its performance.
• Subjects:
  • Substance-Related Disorders
  • Psychostimulants
  • Hospital Records
  • Medical Records Systems, Computerized
  • Health Care Surveys
• Keywords:
  • Natural language processing
  • Machine learning
  • Non-therapeutic opioid use
  • National Hospital Care Survey (NHCS)
• Source:
  National Hospital Care Survey
• Series:
  NCHS Vital and Health Statistics Series
• DOI:
  https://dx.doi.org/10.15620/cdc/252467
• Document Type:
  Text
• Genre:
  White Paper
• Place as Subject:
  United States
• CIO:
  NCHS - National Center for Health Statistics
• Topic:
  Health Statistics
• Pages in Document:
  50 pdf pages
• Download URL:
  https://stacks.cdc.gov/view/cdc/252467/cdc_252467_DS1.pdf
• File Type:
  [PDF - 2.08 MB]
• Collection(s):
  National Center for Health Statistics
• Main Document Checksum:
  urn:sha-512:5fb2ae1b7f5ba56d5acf474dfdda867c4fd2e4453894b16ca279b829426c3814cdf6cef5f8ceb1f6a776c611d1760b38bd57ac5a3fd04d9121a88202ac127114