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Identifying Risk Factors, Patient-Reported Experience and Outcome Measures, and Data Capture Tools for an Individualized Pain Prediction Tool in Pediatrics: Focus Group Study.

Michael D WoodNicholas C WestRama Syamala SreepadaKent C LoftsgardLuba PetersenJulie M RobillardPatricia PageRanda RidgwayNeil K ChadhaElodie Portales-CasamarMatthias Görgesnull null
Published in: JMIR perioperative medicine (2022)
This study established 5 key data domains for identifying pain risk factors and evaluating postoperative recovery at home, as well as the functional requirements and delivery modes of selected tools with which to capture these metrics both in the hospital and after discharge. These tools have been implemented to generate data for the development of personalized pain risk prediction models.
Keyphrases
  • risk factors
  • chronic pain
  • pain management
  • electronic health record
  • patient reported
  • neuropathic pain
  • big data
  • healthcare
  • patients undergoing
  • emergency department
  • machine learning