CloudMedx provides predictions of patient risk for congestive heart failure and triages patients based on their likelihood to be readmitted to the hospital in a certain amount of time. These predictive insights help physicians construct personalized treatment guidelines to improve a patient’s outcome before they fall ill. The AI platform also collects patient data from devices at their homes, to remotely monitor patient health.
“Through our clinical models, we can predict who are the high risk patients, would need more follow ups, more hand holding and more care interventions,” said Tashfeen Suleman, CEO of CloudMedx. “Based on these insights, we can equip case managers with insights to follow up with the necessary interventions that ensure a smooth transition for these patients back into their own homes.”
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