Evaluation preview · Model performance and availability are pending final locked-cohort analysis and partner authorization. Not for clinical use.
RETURN ON INVESTMENT
Increase preoperative capacity. Identify more cases for ASCs and outpatient setting.
50% less manual chart review Up to 2× preop capacity
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.
Use the full platform or bring only the AI models into your existing 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 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.
MODEL CATALOG
20+ outcomes predicted. One API.
Training and validation on de-identified 1.3M+ surgical case cohort — full metrics shared under NDA and in forthcoming peer-reviewed publications.
↳ 1. Calibrated 0–100 Global Procedure Risk Score Prediction
20+ OUTCOMES · ENSEMBLE One calibrated score combining patient and procedure risk. Output: 0–100 score, risk tier and drivers AUROC range:0.90–0.96
SITE OF CARE · CLASSIFICATION 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
↳ 4. Length of Stay (total & ICU) & OR time Prediction
RESOURCE UTILIZATION · REGRESSION
Predicts total postoperative hospital and ICU days. Output: expected hospital and ICU stay Model Type: LGBM Tweedie MAE LoS Time: 0.3—0.5 days MAE ICU Time: 0.3—0.5 days
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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