Evaluation preview · Model performance and availability are pending final locked-cohort analysis and partner authorization. Not for clinical use.
TWO DEPLOYMENT PATHS
We are your Epic AI solution architect to help you streamline your preoperative workflow
↳ The full platform Streamline the entire preoperative workflow
From patient intake and record retrieval to AI chart review, surgical risk prediction and a clinician-ready preoperative note. ✓ Patient questionnaire and record retrieval ✓ 200+ risk factors automatically reviewed ✓ Surgical risk and resource-use predictions ✓ Review-ready note delivered inside your EHR
BEST FOR Hospitals expanding or redesigning their preoperative operations.
↳ AI Models only in your EHR Bring Hoopcare AI models into your EHR
Keep your current applications and clinical workflow while deploying Hoopcare’s model portfolio in your environment.
✓ 20+ predictive outputs ✓ API or private-cloud deployment ✓ Integration with your existing EHR data ✓ Implementation and validation support BEST FOR Hospitals with an established preoperative workflow and data infrastructure.
POSITIVE IMPACT
Identify more cases for ASCs and outpatient settings.
Better triage changes what your ORs can do. When every patient arrives evaluated and risk-scored, more cases flow confidently to your outpatient and ASC settings — higher throughput, shorter length of stay, fewer day-of-surgery cancellations and avoidable ICU admissions, with risk evidence behind every decision.
→ Higher ASC throughput — route eligible patients to outpatient settings with model-backed confidence. → Fewer surprises — risks surfaced weeks ahead, not on the morning of surgery. → Every decision documented — a risk score and its evidence, in the chart, for every patient.
Today, every additional OR slot means more nurses on the phone — chasing records, re-keying questionnaires, calling patients back. Hoopcare does that work automatically: records retrieved, charts reviewed, evaluations drafted before your team opens them. Preop nurses stop doing data collection and do the one thing that needs them — clinical judgment on the patients who are actually complex.
Predicts whether a case is suitable for ambulatory evaluation or requires additional review. Output: ASC candidate, review or inpatient Model Type: LGBM AUROC range: 0.90–0.96
Hoopcare deploys validated perioperative AI directly inside your Epic environment — predicting mortality, complications, and length of stay without a single patient record leaving your walls. Our forward-deployed engineers work alongside your Epic team: SMART on FHIR integration, model deployment, clinical validation, and go-live in four to six weeks.
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