Live Population Health Report with Hospital Length of Stay prediction is one of the applications of Population Health Management for Healthcare - A Cortana Intelligence Solution. The product aims at improving clinical and health outcomes while managing and reducing cost with help of Machine Learning techniques. It leverages clinical and socioeconomic in-patient data (simulated) generated by the hospitals for population health reporting. Results acn be used by hospitals to optimize care management systems and focus their clinical resources on patients with more urgent need.
Input variables : Clinical and socioeconomic in-patient data
Output Variables : Length of hospital stay
| Statistical | : | Mallow's CP | R Squared | Mean Square Error | Adjusted R Squared | Mean Absolute Error | Huber Loss |
| Business | : | Bed Occupancy Rate | Medical Equipment Utilization | Optimized Hospital Resource Utilization |
| Infrastructure | : | Log Bytes | Logging/User/IAMPolicy | Logging/User/VPN | CPU Utilization | Memory Usage | Error Count | Prediction Count | Prediction Latencies | Private Endpoint Prediction Latencies | Private Endpoint Response Count |
Visit Model : github.com
Additional links : github.com
| Model Category | : | Commercial |
| Date Published | : | August, 2017 |
| Healthcare Domain | : | Provider |
| Code | : | github.com |
| Utilization Management |
| Hospital Resource Utilization |