Algorithmic Convergence Across Machine Learning Models Identifies Robust Strategic Priorities for Improving Patient Experience

Richard H. Savel, Payam Benson, Carmen Collins, Jill Fennimore, Dwight McBee, Kwaku Gyekye, Ije Akunyili, Marc Milano, Ruric Andy Anderson

Open source

DOI: 10.1097/jmq.0000000000000348
Published: 2026-09-07
Container: American Journal of Medical Quality
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1097/jmq.0000000000000348,
  title = {Algorithmic Convergence Across Machine Learning Models Identifies Robust Strategic Priorities for Improving Patient Experience},
  author = {Richard H. Savel and Payam Benson and Carmen Collins and Jill Fennimore and Dwight McBee and Kwaku Gyekye and Ije Akunyili and Marc Milano and Ruric Andy Anderson},
  year = {2026},
  journal = {American Journal of Medical Quality},
  doi = {10.1097/jmq.0000000000000348},
  url = {https://doi.org/10.1097/jmq.0000000000000348}
}

RIS

TY  - JOUR
TI  - Algorithmic Convergence Across Machine Learning Models Identifies Robust Strategic Priorities for Improving Patient Experience
AU  - Richard H. Savel
AU  - Payam Benson
AU  - Carmen Collins
AU  - Jill Fennimore
AU  - Dwight McBee
AU  - Kwaku Gyekye
AU  - Ije Akunyili
AU  - Marc Milano
AU  - Ruric Andy Anderson
PY  - 2026
JO  - American Journal of Medical Quality
DO  - 10.1097/jmq.0000000000000348
UR  - https://doi.org/10.1097/jmq.0000000000000348
ER  -

APA

Savel, R. H., Benson, P., Collins, C., Fennimore, J., McBee, D., Gyekye, K., Akunyili, I., Milano, M., & Anderson, R. A. (2026). Algorithmic Convergence Across Machine Learning Models Identifies Robust Strategic Priorities for Improving Patient Experience. American Journal of Medical Quality. https://doi.org/10.1097/jmq.0000000000000348

Source records

crossref · retrieved 2026-09-26T08:09:05.053Z