Published on in Vol 5, No 1 (2022): Jan-Dec
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/42341, first published
.
![Identifying Risk Factors, Patient-Reported Experience and Outcome Measures, and Data Capture Tools for an Individualized Pain Prediction Tool in Pediatrics: Focus Group Study Identifying Risk Factors, Patient-Reported Experience and Outcome Measures, and Data Capture Tools for an Individualized Pain Prediction Tool in Pediatrics: Focus Group Study](https://asset.jmir.pub/assets/b723566c053f4d1eabbcec8921f1e03e.png 480w,https://asset.jmir.pub/assets/b723566c053f4d1eabbcec8921f1e03e.png 960w,https://asset.jmir.pub/assets/b723566c053f4d1eabbcec8921f1e03e.png 1920w,https://asset.jmir.pub/assets/b723566c053f4d1eabbcec8921f1e03e.png 2500w)
Journals
- Wood M, West N, Fokkens C, Chen Y, Loftsgard K, Cardinal K, Whyte S, Portales-Casamar E, Görges M. An Individualized Postoperative Pain Risk Communication Tool for Use in Pediatric Surgery: Co-Design and Usability Evaluation. JMIR Pediatrics and Parenting 2023;6:e46785 View
Books/Policy Documents
- Capriulo M, Pizzolla I, Briganti G. Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry. View