A Bias-Aware Analytic Framework for Real-World Data with AI-Audited Workflows: Application to Opioid Ordering in Pediatric Oncology.

Morphew T, Pease H, Fortier MA, Kain ZN, Sayrs LW

DOI: 10.3390/bioengineering13101098
Published: 2026 Sep 23
Container: Bioengineering (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering13101098,
  title = {A Bias-Aware Analytic Framework for Real-World Data with AI-Audited Workflows: Application to Opioid Ordering in Pediatric Oncology.},
  author = {Morphew T and Pease H and Fortier MA and Kain ZN and Sayrs LW},
  year = {2026},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering13101098},
  url = {https://doi.org/10.3390/bioengineering13101098}
}

RIS

TY  - JOUR
TI  - A Bias-Aware Analytic Framework for Real-World Data with AI-Audited Workflows: Application to Opioid Ordering in Pediatric Oncology.
AU  - Morphew T
AU  - Pease H
AU  - Fortier MA
AU  - Kain ZN
AU  - Sayrs LW
PY  - 2026
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering13101098
UR  - https://doi.org/10.3390/bioengineering13101098
ER  -

APA

T, M., H, P., MA, F., ZN, K., & LW, S. (2026). A Bias-Aware Analytic Framework for Real-World Data with AI-Audited Workflows: Application to Opioid Ordering in Pediatric Oncology.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13101098

Source records

pubmed · retrieved 2026-11-10T05:46:07.759Z