Enterprise AI
A hospital network
Clinicians see readmission risk before a patient goes home
- Healthcare
- Client under NDA
- Global
- 15%
- Fewer readmissions, with the prediction inside the EHR
Readmissions were hurting patients and the provider's costs, and there was no reliable way to spot at-risk patients before they left.
What we did
Medical history and operational data were merged into one dataset, and the strongest predictors of readmission became the model's features. Candidate models were cross-validated against past outcomes. The prediction shows up inside the EHR workflow clinicians already use, and staff were trained on what it means.
Related work
See all- A major financial institution
Financial Services/Client under NDA
A major financial institution saw 25% fewer fraudulent transactions after we put machine-learning scoring inside its banking systems.
25%
Fewer fraudulent transactions, caught in real time
- A manufacturing group
Manufacturing/Client under NDA
A manufacturing group lowered supply chain costs 20% with demand and inventory forecasts that feed its ERP.
20%
Off supply chain costs, with shorter lead times
- A metropolitan transit network
Government & Public Sector/Client under NDA
A metropolitan transit network's voice line now resolves 70% of calls without a person, in eleven languages.
70%
Calls resolved without a person
Tell us which system the AI has to run inside
If that system is not ready for AI yet, tell us that too. An engineer will reply and say plainly whether we are the right firm for it.