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Your most expensive surgical complication claims are predictable & avoidable.

Your medical policies already require optimization before surgery. Hoopcare screens surgical requests for modifiable risk, routes flagged members to preoperative optimization and gives utilization teams an auditable view from request to OR readiness.
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Payer concept preview. Not an offered product, and not for coverage, payment, or prior-authorization decisions.

Hoopcare authorization board for payors
OUR UPCOMING PUBLICATIONS

Validated AI models trained on 1.3M+ 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
PRE-SUBMISSION - 2026
AUTOMATIC CHART REVIEW
JAMA Surgery logo
AI-Enabled Preoperative Triage for ASC Eligibility  Prediction
PRE-SUBMISSION -  2026
ASC ELIGIBILITY
Anesthesiology journal logo
Machine Learning Model to Predict RBC Transfusion Volume
New England Journal of Medicine AI logo
PRE-SUBMISSION - 2026
TRANSFUSION RISK
Preoperative Prediction of Postoperative Hospital & ICU Length of Stay
Annals of Surgery logo
PRE-SUBMISSION - 2026
LENGTH OF STAY PREDICTION
LLM driven M&M review: Cause, Mechanism, and Preventability
Nature logo
PRE-SUBMISSION - 2026
AI M&M REVIEW
Machine Learning Model to Predict VTE after Surgery and Guide Thromboprophylaxis
British Journal of Anaesthesia logo
PRE-SUBMISSION - 2026
VTE RISK
Machine Learning Model to Predict High Pain Level after Surgery
British Journal of Anaesthesia logo
PRE-SUBMISSION - 2026
PAIN RISK
AI-EKG Model to Predict Low Ejection Fraction before Surgery
PRE-SUBMISSION - 2026
CARDIAC EVALUATION
HOW IT WORKS

One objective. Two ways to operationalize it.

↳ Reduce post-op. complications

Preoperative optimization for your patients.

Every elective case at your in-network hospitals is screened by our models. Members with modifiable risk factors — anemia, uncontrolled diabetes, cardiac conditions, smoking — are flagged and routed into the hospital's preoperative optimization pathway. They arrive at surgery prepared instead of becoming your next complication claim.

↳ Route patient to ASC with confidence

Route patient to ASC and outpatient centers with confidence.

When a member carries specific unaddressed risk factors, the request is flagged — with the evidence — so your medical directors can make authorization conditional on optimization first. Not a denial: a documented path to a safer yes in the right environment.
FROM REQUEST TO SAFE SURGERY

Your medical policy already requires preoperative optimization.
Now it can be enforced.

01. Screen 

AI-powered risk analysis for every surgery request

Summarised medical record
Every prior-auth request is screened automatically: complication risk, predicted length of stay, modifiable risk factors. No chart pulls, no attestation checkboxes.

02. Authorize

Conditional authorization tied to specific optimization

Avoiding unnecessary blood transfusion
Flagged members get a conditional authorization with the exact to-do list — treat the anemia, control the glucose — and the in-network hospital gets the workflow to run it, inside their EHR. Not a denial: a path to yes.

03. Better outcomes

Triple win for patients, providers & payers

The plan stops paying for preventable complications. The hospital gets paid to prevent them — optimization is billable care, and the case stays scheduled. The patient gets a safer surgery, prepared instead of cancelled.
Why it works

Risk-scored across the procedures that drive surgical spend.

Lung tumor
Bariatric surgery
Heart valve procedures
Hip replacement
Hysterectomy
CABG
Gastric Sleeve
Bunion
Colectomy
Breast cancer surgery
Appendectomy
Cardiac surgery
Orthopedic surgery
Spine surgery
Shoulder replacement
Brain tumor
Knee replacement
Vascular procedures
Colonoscopy
Cataract surgery
Hernia
C-section
Thyroidectomy
FIRST-CLASS EVALUATION

200+ risk factors surfaced — most of them fixable before surgery.

Portrait of Dr Richard Boyer, anesthesiologist
"Built by anesthesiologists who've seen what an unprepared patient costs"
Dr. Richard Boyer, MD, PhD Anesthesiologist and Cofounder
Anemia & transfusion risk
Identified weeks out, treatable before the OR — an avoided transfusion is an avoided cost and a better outcome.
Cardiac risk
The conditions that turn outpatient cases into inpatient stays — caught in time to optimize.
Diabetes & metabolic risk
Glycemic control verified before surgery, fewer infections and readmissions after it.
Infection risk
Prevention protocols triggered before the incision, not after the readmission.
Respiratory risk
COPD, asthma, smoking: cessation and optimization windows, not day-of-surgery surprises.
+ More
Learn more
RETURN ON INVESTMENT

Reduce avoidable surgical spend. Improve quality of care and outcomes .

A triple win, by design.

Screening finds the risk early. Optimization removes it. A patient who arrives prepared pays off three ways:

The plan wins — fewer complication claims, shorter stays, defensible UM with an audit trail behind every decision.
The hospital wins — the case stays scheduled, optimization is billable care, cancellations and readmission-penalty exposure drop.
The patient wins — risks fixed before the incision: safer surgery, shorter stay, no last-minute cancellation.

Let's explore the options or send your questions → contact@hoopcare.com
Book a consultation
Anesthesiologist reviewing a patient chart
REDUCE SURGICAL SPEND
ENFORCE YOUR POLICY
Dashboard-style card showing “Quarter goal” progress at 84% with a link labeled “Success Story.”
PLANS

One goal. 
No member reaches the OR unprepared.

Retrospective
To demonstrate
Analysis on past data to evaluate the impact
Free pilot
/ no commitment
Includes
  • Your medical policy, applied to 2–3 high-volume procedures
  • Retrospective run on your own claims: which complication claims were predictable?
  • Site-of-service opportunity: which cases were ASC-eligible?
  • ROI computed on your data — not on our slides
  • Findings reviewed with your medical directors
Explore the payer demo →
Prospective
To action
Prospective AI model deployment
Contact us
/ annual license
WITH OUR FORWARD DEPLOYED ENGINEERS
  • Our AI models deployed in your environment — Azure, GCP, or AWS
  • Every surgical authorization screened — flag and explain, never auto-deny
  • Ongoing validation with your medical directors
  • Custom risk endpoints: readmission, escalation, site of service
  • Analytics dashboards for UM and medical-director review
Explore the payer demo →
PARTNERS & VALIDATION

Built with the world's
top teams.

Mayo Clinic and Arizona State University logoJohns Hopkins logoTechstars logoRamsay Sante logoMayo Clinic logoArizona State University logoIllume logoQuincy logoCornell Tech logoMayo Clinic and Arizona State University logoMACSF logoMayo Clinic and Arizona State University logoTechstars logoIllume logoCornell Tech logo
PILOT PROCESS

Pilot with us is easy.

Portrait of a smiling person sitting at a desk, used in the values or about section.
Week 1
Policy & claims intake
BAA signed, then we take your medical policy for 2–3 high-volume procedures and a de-identified extract of your surgical claims. Outcome: a defined scope, no integration required.
Weeks 2–3
Retrospective analysis
Our models run on your past data. Outcome: which complication claims were predictable — and which cases were ASC-eligible.
Week 4
Findings review
We present the results to your medical directors: predictable claims, site-of-service opportunity, ROI computed on your own data. Outcome: a business case you didn't have to build.
Week 5+
Prospective rollout
Screening goes live on new authorization requests with participating in-network hospitals — flag, optimize, re-score. Outcome: the mechanism, running on your book.

We handle the hurdles of bringing AI to payrs.

From security review to regulatory sign-off, our team has done this before — so yours doesn't have to learn it the hard way.
Forward-deployed engineers
Integration with your data environment workflow is our job, not another project on your roadmap.
HIPAA & BAA covered
BAA signed, HIPAA-compliant by design, and deployable in your own cloud tenant — your compliance team gets answers, not surprises.
Regulator-ready by design
Physician-in-the-loop, explainable flags, audit trails — built for the direction prior-auth rules are moving.
Evidence, not promises
Every model is headed for peer review — you'll see the publications before you see a contract.

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
Mayo Clinic and Arizona State University logoJohns Hopkins logoTechstars logoMayo Clinic and Arizona State University logoRamsay Sante logoMayo Clinic logoArizona State University logoQuincy logoCornell Tech logo
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