| Autor: |
Ryu, Alexander J., Ayanian, Shant, Qian, Ray, Core, Marcia A., Heaton, Heather A., Lamb, Matthew W., Parikh, Riddhi S., Boyum, Jens P., Garza, Esteban L., Condon, Jennifer L., Peters, Steve G. |
| Zdroj: |
Mayo Clinic Proceedings; 20220101, Issue: Preprints |
| Abstrakt: |
We recently brought an internally developed machine-learning model for predicting which emergency department patients would require hospital admission into the live electronic health record environment. Doing so involved navigating several engineering challenges, which required the expertise of multiple parties across our institution. Our team of physician data scientists developed, validated and implemented the model. We recognize a broad interest and need to adopt machine-learning models into clinical practice, and seek to share our experience to enable other clinician-led initiatives. This Brief Report covers the entire model deployment process, starting once a team has trained and validated a model they wish to deploy in live clinical operations. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
