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Ready-to-use AI models for perioperative care
to grow efficiency and quality of care

License Hoopcare's validated risk models and ship clinical prediction inside your own product. One API, seven endpoints — global risk, MACCE, AKI, transfusion, length of stay, ICU, ASC eligibility — deployable in your cloud, your customer's VPC, or fully on-prem. Built on 1.3M+ procedures.
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OUR UPCOMING PUBLICATIONS

Validated AI models trained on 1.3 M+ procedures to predict complications.

Model development and analysis are complete.
Final manuscript details are being prepared ahead of submission.
AI-Enabled Preoperative Chart Review for Surgical Complications Prediction with 1.3M procedures
PRE-SUBMISSION
AUTOMATIC CHART REVIEW
AI-Enabled Preoperative Triage for ASC Eligibility  Prediction
PRE-SUBMISSION
ASC ELIGIBILITY
Machine Learning Model to Predict Red Blood Cell Transfusion Volume trained on 1.3M procedures
PRE-SUBMISSION
TRANSFUSION RISK
Preoperative Prediction of Postoperative Hospital & ICU Length of Stay
PRE-SUBMISSION
LENGTH OF STAY PREDICTION
LLM driven M&M review: Cause, Mechanism, and Preventability in 8,212 Deaths
PRE-SUBMISSION
M&M REVIEW
Machine Learning Model to Predict VTE after Surgery and Guide Thromboprophylaxis Trained on 1.3M Procedures
PRE-SUBMISSION
VTE RISK
Machine Learning Model to Predict High Pain Level after Surgery
PRE-SUBMISSION
PAIN RISK
MODEL CATALOG

20+ outcomes predicted.
One API.

Training and validation on de-identified 1.3M-patient cohort — full metrics shared under NDA and in forthcoming peer-reviewed publications.

↳ 1. Calibrated 0–100 Global Procedure Risk Score Prediction

One calibrated 0–100 score per patient and procedure — the triage backbone for every downstream decision.
Standard & advanced models · 100 to 1,500+ features
Output: 0–100 score · 5-tier risk
Risk Score  65/100
MINS → High Risk
Cursor icon showing a hand pointer
AKI → Low Risk
Pain → Low Risk
Transfusion → Low Risk

↳ 2. Number of RBC Required Prediction

Predicted RBC units per case — anemia optimization upstream, blood-bank planning downstream.

Output: predicted total RBC required per procedure

↳ 3. ASC Eligibility Prediction

Is this patient safe in an ambulatory setting? The site-of-service engine behind outpatient growth.

Output: eligible / needs review / inpatient — with risk drivers

↳ 4. Length of Stay (Total & ICU) Prediction

Predicted total and ICU days — the clinical signal your capacity and scheduling models are missing.

Output: predicted total & ICU days

↳ 5. VTE Prediction

Venous thromboembolism risk after surgery — supports guideline-based thromboprophylaxis decisions.

Output: risk tier + prophylaxis flag

↳ And a lot more...

High Pain, AKI, Sepsis or Shock, Pneumonia, Unexpected ICU admission,...
HYBRID MODEL

We predict using sctructnd unstructured clinical notes.

Per endpoint or full catalog
Light Model
↳ Strucutured Data

100-feature models
INCLUDES
  • Problem list & coded diagnoses (ICD-10)
  • Medication list — active prescriptions
  • Procedure & CPT code
  • Essential labs — CBC, BMP, coagulation
  • Demographics, vitals
Book a demo
Per endpoint or full catalog
Standard Model
↳ Strucutured Data

500-feature models
Includes
  • Everything in Light, plus:
  • Full lab history & vitals trends
  • Coded comorbidities & prior encounters
  • Prior utilization — admissions, ED visits, procedures
  • Functional & social flags
Book a demo
Advisory
Boost with Notes Review
↳Unstructured Data

Clinical Notes AI Review
WE EXTRACT DATA FROM CLINICAL NOTES
  • Reads up to 3 years of notes — 150k characters per patient
  • H&P, consults, prior anesthesia records
  • Extracts functional status, frailty, cardiovascular symptoms
  • +1,000 note-derived features on top of structured models
  • Available on any tier — same API, one extra flag
Book a demo
HOW TO


One s 
Two ways to build on it.

↳ API license
Embed our scores in your product.

Call the endpoints from your platform: REST + FHIR, containerized, hybrid deployment — your cloud, your customer's tenant, or on-prem. Your UI, your workflow, our predictions underneath.

↳ Fine-tuning and co-development
Models tuned on demand.

Need an endpoint we don't have, or ours recalibrated on your customer's population? Our clinical data science team fine-tunes on your data — from feature engineering to validation study.
INNOVATION

The risk signal structured data misses is in the notes.

"Built by anesthesiologists who've read ten thousand preoperative notes."
Anesthesiologist and Cofounder @Hoopcare
Functional status
"Walks two blocks, stops for dyspnea" is a feature, not a sentence.
Cardiac reports
LVEF, stress test results captured from cardiology consults.
Prior anesthesia events
The difficult airway from 2019 lives in a note, not a field.
Frailty signals
Weight loss, falls, assistance at home — scattered across notes, never coded.
Social context
Escort, distance from hospital, home support: the ASC-eligibility deciders.
+ More
Learn more
Why it works

Trained across 1,500+ procedure types.

Lung tumor
Pancreatic surgery
Heart valve procedures
Hip replacement
Hysterectomy
CABG
Gastric Sleeve
Bunion
Colectomy
Breast cancer surgery
Appendectomy
Cardiac surgery
Plastic surgery
Spine surgery
Shoulder replacement
Brain tumor
Knee replacement
Vascular procedures
Colonoscopy
Cataract surgery
Hernia
C-section
Thyroidectomy
BUY VS. BUILD

Your roadmap wants this layer. Your timeline doesn't want to build it.

Three years of work, one integration.

A validated clinical-risk layer needs labeled surgical outcomes at scale, clinical expertise to define the endpoints, and evidence your sales team can cite. We've done that part: a de-identified cohort of 1.3M+ surgical patients, models built with anesthesiologists, publications on the way. You integrate an API; your product gains a clinical brain.

Differentiate your platform — scheduling everyone has; risk-aware scheduling nobody has.
Evidence included — peer-reviewed citations your enterprise deals can lean on.
Maintained, recalibrated, monitored — model drift is our job, not your backlog.
Book a consultation
SHIP FASTER
CITE THE EVIDENCE
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Analytics, too
Beyond prediction: our LLM pipeline powers outcome analytics — automated M&M review, cause and preventability, quality dashboards. Ask about the analytics layer.
Book a consultation
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98% of happy clients
3x faster time to alignment
Dashboard card titled “Real Results” showing three progress bars for Clarity boost 78%, Faster conversions 66%, and Content reuse 45%.
DEPLOYMENT

Runs where the data lives. Answers where you need them.

Containerized models with a REST + FHIR interface, deployed in your cloud, your customer's VPC (Azure, GCP, AWS), or fully on-prem — no PHI ever reaches Hoopcare. Score a patient from structured data alone, or attach the LLM note-analysis layer where notes are available. Our engineers support your integration from first call to production.
Book a technical walkthrough →
API-first
REST + FHIR endpoints, versioned models, and a sandbox with synthetic patients to build against.
Zero PHI egress
Inference happens inside the deployment perimeter — your BAA story stays clean.
PLANS

One goal. Prediction, wherever your product runs.

Per endpoint or full catalog
For OR tech & analytics platforms
100 Features Model
Contact us
/ annual license
Includes
  • All seven endpoints or à la carte
  • Hybrid deployment — your cloud, customer VPC, on-prem
  • Sandbox + synthetic test patients
  • Model updates, recalibration and drift monitoring
  • Evidence pack: validation summaries and citations as published
Book a demo
Per endpoint or full catalog
For OR tech & analytics platforms
500 Features Model
Contact us
/ annual license
Includes
  • All seven endpoints or à la carte
  • Hybrid deployment — your cloud, customer VPC, on-prem
  • Sandbox + synthetic test patients
  • Model updates, recalibration and drift monitoring
  • Evidence pack: validation summaries and citations as published
Book a demo
Advisory
For teams building in-house
Consulting & Services
Contact us
/ advisory
WITH OUR CLINICAL DATA SCIENCE TEAM
  • Clinical endpoint and feature design reviews
  • LLM note-extraction architecture guidance
  • Validation and calibration methodology
  • Regulatory and publication strategy
  • Led by our anesthesiologist-founders
Book a demo
THEY TRUST US

Built with the world's
top teams.

We handle the hurdles of shipping clinical AI.

From security review to validation study, we've done this inside health systems — so your integration doesn't start from zero.
Integration engineers included
Our team works alongside yours — API, deployment, monitoring — from first call to production.
HIPAA & BAA covered
Zero-PHI-egress architecture keeps your compliance story simple — BAA signed where needed.
Validated, and validatable
Performance measured on your customer's population before go-live, with clinicians in the loop.
Evidence, not promises
Every model is headed for peer review — your sales team gets citations, not claims.

Contact us

Curious about our solution or have inquiries? We're eager to assist! Just complete the form below, and we'll respond promptly.
THEY TRUST US
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