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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/KelaHealth
KelaHealth

KelaHealth

Founded by Bora Chang & Erich Huang & Jeff Sun in 2020

Predict surgical risks and recommend clinical interventions for patients before operations

Pricing model

Demo

You can use KēlaHealth to predict surgical risks and guide medical decisions for individual patients across perioperative care. It plugs into existing hospital systems and partner applications via an API to analyze patient histories against data from millions of surgical procedures. Clinicians receive specific risk warnings, suggested clinical interventions, and scheduling recommendations before surgery takes place. This helps surgical teams reduce complications, avoid hospital-acquired conditions, shorten recovery times, prevent readmissions, and improve operating room scheduling and patient throughput across hospital facilities.

What KelaHealth does

Calculate patient risk scores for upcoming surgical proceduresGenerate clinical intervention checklists for surgical teamsIdentify high-risk patients needing pre-op stabilizationMonitor hospital-acquired condition rates across surgical departmentsAdjust surgical schedules based on predicted case durationsFeed predictive analytics into medtech software via APIPredict individual patient surgical complication risksRecommend patient-specific clinical interventions before surgeryIdentify modifiable preoperative health risk factorsDeliver predictive insights directly via API into existing softwareForecast operating room scheduling accuracyTrack patient safety indicators to reduce readmissions

Pricing breakdown

Pricing model: Book a demo

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KēlaHealth, surgical intelligence, predictive analytics, perioperative care, patient risk prediction, clinical decision support, healthcare analytics, surgical outcomes, hospital readmission reduction, medtech API, surgical risk assessment, clinical operations, patient safety, surgical complications prevention, healthcare machine learning