Difference between revisions of "Healthcare AI Use Cases"
From PatientRecovery
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* [https://www.beckershospitalreview.com/artificial-intelligence/ge-university-hospitals-cleveland-partner-on-ai-lung-imaging-tech.html '''Identify patients' with collapsed lungs''' - artificial intelligence-enabled mobile X-ray system flags images of patients who need immediate intercession, ensuring that patients with collapsed lungs receive more timely care. (7/8/20)] | * [https://www.beckershospitalreview.com/artificial-intelligence/ge-university-hospitals-cleveland-partner-on-ai-lung-imaging-tech.html '''Identify patients' with collapsed lungs''' - artificial intelligence-enabled mobile X-ray system flags images of patients who need immediate intercession, ensuring that patients with collapsed lungs receive more timely care. (7/8/20)] | ||
* [https://www.beckershospitalreview.com/artificial-intelligence/mayo-clinic-to-implement-ai-powered-predictive-patient-triage-platform.html '''Predicts patients' hospitalization risk and triages them to appropriate care''' - uses AI tech, EHR data and a questionnaire to perform clinical intake of patients visiting ER, Urgent Care or Home (6/30/20)] | * [https://www.beckershospitalreview.com/artificial-intelligence/mayo-clinic-to-implement-ai-powered-predictive-patient-triage-platform.html '''Predicts patients' hospitalization risk and triages them to appropriate care''' - uses AI tech, EHR data and a questionnaire to perform clinical intake of patients visiting ER, Urgent Care or Home (6/30/20)] | ||
| + | * [https://jamanetwork.com/journals/jama/fullarticle/2665774 AI model using algorithms and deep learning diagnosed breast cancer at a higher rate than 11 pathologists. (12/12/17)] | ||
Revision as of 08:38, 10 July 2020
ClosedLoop AI Use Cases
Hospitals
- Predict patients most likely to miss appointments
- Predict patients most likely to acquire infections like sepsis
- Predict patients most likely to benefit from periodic check ups
Health Insurers
- Predict patient readmissions and the onset or progression of chronic diseases.
- Predict patient onset or progression of chronic diseases.
- Identify patients' with collapsed lungs - artificial intelligence-enabled mobile X-ray system flags images of patients who need immediate intercession, ensuring that patients with collapsed lungs receive more timely care. (7/8/20)
- Predicts patients' hospitalization risk and triages them to appropriate care - uses AI tech, EHR data and a questionnaire to perform clinical intake of patients visiting ER, Urgent Care or Home (6/30/20)
- AI model using algorithms and deep learning diagnosed breast cancer at a higher rate than 11 pathologists. (12/12/17)
