Deterministic Clinical Decision Engine SNF & CAH Admission Intelligence SHA-256 Immutable Audit Trail CMS Compliance Verification SMART on FHIR & CDS Hooks Integration Pharmacy Margin Guardrails Multi-Domain Clinical Constraint Engine
Deterministic Clinical Decision Engine SNF & CAH Admission Intelligence SHA-256 Immutable Audit Trail CMS Compliance Verification SMART on FHIR & CDS Hooks Integration Pharmacy Margin Guardrails Multi-Domain Clinical Constraint Engine
Live Clinical Engine — v4.4

The Future of
Care Transition is
Deterministic.

STFE Systems delivers the only CMS-defensible, SHA-256 auditable admission decision engine built exclusively for Skilled Nursing Facilities and Critical Access Hospitals. Not a recommendation. A calculation.

1,381+
CAHs Across the U.S. — Underserved Market We Built For
38+
Clinical Constraint Domains Evaluated
Full
Comprehensive CMS Regulatory Coverage — SNF & CAH
<2s
Average Engine Evaluation Time
HIPAA Compliant
SOC 2 Type II
BAA Available
SHA-256 Audit Trail
AWS HIPAA-Eligible
99.9% Uptime SLA
What is STFE

The Missing Logic Layer in Post-Acute Care

STFE (Spatio Temporal Facility Engine) is a deterministic clinical decision engine that evaluates every SNF and CAH admission against a multi-domain constraint matrix — clinical safety, CMS regulatory compliance, operational capacity, and financial viability — in under 2 seconds.

Unlike AI-based recommendation tools, STFE produces a cryptographically signed, reproducible calculation. When CMS audits your facility, "the AI recommended it" is not defensible. A SHA-256 signed constraint evaluation is.

Deterministic — Not Probabilistic CMS-Defensible by Design EHR-Native via SMART on FHIR
STFE Engine Flow

Referral Intake

PDF, EHR push, SMART on FHIR, CDS Hooks, or direct API

FHIR Mapping

Comprehensive FHIR clinical data mapping → patient state: vitals, diagnoses, payer, procedures

Constraint Engine

38+ domains evaluated: clinical, CMS, capacity, financial, psych, wound, anticoag

Transformation Pathways

Comprehensive transformation pathways resolve conflicts: care coordination, logistics, specialist consults

Signed Decision + Audit

SHA-256 POI hash, DON NPI sign-off, immutable CMS-defensible record

Problems We Solve

The Post-Acute Care Industry Is Broken

SNFs and CAHs face a perfect storm of clinical, regulatory, and financial pressure. STFE was built to solve each of these head-on.

CMS Audit Exposure

Facilities admit patients based on "clinical judgment" with no reproducible documentation. When CMS opens an ADR, there's no defensible record — just a physician's memory.

⚠️ $4.2B in post-acute Medicare improper payments/yr

AI Isn't Enough

AI recommendation tools output probabilities. CMS requires certainty. "The AI said 78% likely safe" is not an audit defense. Deterministic calculation is the only acceptable standard.

⚠️ Probabilistic outputs = non-defensible decisions

Slow Referral Response

Hospital discharge planners wait hours or days for SNF admission decisions. The average SNF takes 4–6 hours to respond to a referral — often losing the patient to a faster competitor.

⚠️ Avg 4–6 hour response time industry-wide

Hidden Pharmacy Losses

High-cost IV antibiotics, specialty medications, and anticoagulants eat SNF margins invisibly. Without pre-admission pharmacy analysis, facilities discover the loss after the patient is already admitted.

⚠️ 40%+ of financial penalties are pharmacy-related

Clinical Siloes

Cardiology, pulmonary, orthopedic, psych safety, wound care — each domain is evaluated by a different specialist. No integrated system connects all constraints into one decision.

⚠️ 60% of adverse events linked to incomplete intake

CAHs Are Underserved

1,381 Critical Access Hospitals have unique swing bed rules, 101% cost-based reimbursement, and 72-hour admission constraints. Every major competitor is SNF-first. CAHs use spreadsheets.

⚠️ Zero enterprise tools built specifically for CAH
Clinical Focus

Built for SNF & CAH — Exclusively

Unlike general clinical decision support tools, STFE was designed from the ground up for post-acute care facilities — with domain-specific rules, CMS guardrails, and admission logic baked in.

Skilled Nursing Facility

Full-Stack SNF Admission Intelligence

STFE evaluates every SNF referral across clinical, regulatory, operational, and financial dimensions simultaneously — in under 2 seconds.

  • CMS 3-Midnight Rule & Medicare Part A benefit period tracking
  • PDPM daily rate optimization and pharmacy margin analysis
  • 38+ constraint domains: TUG, O2, NYHA, INR, eGFR, FEV1, BIMS
  • TEAM Waiver (CPT code whitelist, 2026 CMS bundle)
  • Bariatric, wound care, anticoagulation, psych safety guardrails
  • DON governance: threshold management with NPI sign-off
  • MDS 3.0 pre-population from engine output
55+
Clinical Rules
97
TX Nodes
6
Care Domains
Critical Access Hospital

The Only Engine Built for CAH

STFE is the only enterprise admission system with CAH-specific rules. We cover swing bed regulations, 101% cost-based reimbursement, and 72-hour constraints that no competitor addresses.

  • Swing bed 72-hour admission offset rule enforcement
  • 101% cost-based reimbursement calculation for swing beds
  • 25-bed CAH census limit with high-acuity slot management
  • CAH-specific transfer risk (distance to tertiary hospital)
  • Isolation room capacity for rural settings
  • CAH billing path selection: swing bed vs distinct part SNF
  • Rural dialysis transport constraint verification
1,381
Target CAHs
0
Competitors
100%
CMS Coverage
Products & Capabilities

Everything a Modern Post-Acute Facility Needs

One unified platform spanning clinical intelligence, EHR integration, compliance automation, and financial analytics.

Deterministic Constraint Engine

38+ clinical domains evaluated deterministically in under 2 seconds. Every decision is reproducible, auditable, and defensible. No black boxes.

Orthopedic Cardiology Pulmonary Nephrology Psych Wound

EHR Native Integration

SMART on FHIR launch from Epic, Cerner, and PointClickCare. CDS Hooks for passive real-time alerts. FHIR R4 adapter maps comprehensive clinical data to the patient state vector automatically.

SMART on FHIR CDS Hooks FHIR R4 Epic Cerner

AI-Assisted PDF Intake

Upload hospital discharge summaries and referral packets. AI extracts clinical fields and pre-populates the intake form. DON reviews and executes the deterministic engine.

PDF Parsing AI Extraction Form Pre-fill

Bulk Shadow Audit

Upload a CSV of up to 500 historical patients. STFE re-evaluates every case against current clinical rules and generates a risk-stratified PDF report. No PHI transmitted to audit vendors.

CSV Upload Batch Processing Risk Report

DON Clinical Governance

Directors of Nursing configure clinical thresholds — TUG limits, INR ceilings, O2 saturation floors — without code deployment. NPI-signed rule changes take effect within 60 seconds.

What-If Analysis NPI Sign-Off TX Catalog

Immutable Audit Ledger

Every case creates an SHA-256 signed, immutable audit record — patient state, facility thresholds, rule set version, and DON signature — all frozen at the moment of evaluation.

SHA-256 ADR Defense MDS Export HIPAA
How It Works

From Referral to Signed Decision in 5 Steps

The entire admission workflow — from referral receipt to CMS-defensible documentation — in under 3 minutes.

1

Referral Arrives

PDF fax, EHR push via SMART on FHIR, CDS Hook, or direct API. Nurse marks received — response clock starts.

2

Clinical Data Mapped

AI extracts from PDF or FHIR pulls complete clinical data. Patient state built: vitals, diagnoses, payer, procedures, medications.

3

Engine Evaluates

38+ constraint domains checked against DON-configured facility thresholds. Engine identifies transformation pathways to resolve conflicts.

4

Decision Recorded

Intake nurse or DON records Accept / Reject / Override. Override requires 15+ character clinical justification for HIPAA audit trail.

5

Audit Sealed

SHA-256 POI hash created. DON NPI attached. MDS 3.0 pre-populated. Hospital discharge planner receives Status Portal link.

Why STFE

STFE vs. The Alternatives

How STFE compares to AI recommendation tools, legacy admission systems, and doing nothing.

Capability ✦ STFE AI Recommendation Tools EHR-bundled Care Mgmt Manual Workflow
Deterministic (not AI / probabilistic) Yes No No No
SHA-256 Immutable Audit Trail Yes No Partial No
CMS ADR Defense Documentation Yes No Partial No
CAH Swing Bed Rules Yes No No No
SMART on FHIR Integration Yes Partial Yes No
DON Threshold Governance (no-code) Yes Partial No No
Pharmacy Margin Guardrails Yes Partial No No
Psych Safety / Vent Dependency Rules Yes No No No
Bulk Shadow Audit (CSV) Yes Partial No No
Response Time < 2 sec Minutes Minutes Hours
Free Tool

Run a Free Shadow Audit on Your Facility

Upload a de-identified CSV of your historical admissions. STFE evaluates every case against current CMS rules and returns a risk-stratified report — showing which patients should have been held, which modifications were missed, and the estimated financial impact.

No PHI Required — De-identified CSV Only

Discover Your Compliance Risk in Minutes

Most facilities are surprised by what a shadow audit reveals. In our pilots, a meaningful portion of historical admissions contain clinical constraint violations that create audit exposure — and were never flagged at intake.

Results in 24–48 hours
No contract required
De-identified data only
Sample Audit Result — 25 Patients
Cases Evaluated25
Operationally Feasible12 (48%)
Feasible w/ Modifications8 (32%)
Should Have Been Held5 (20%)
Estimated Penalty Risk$127,000
Top Risk DomainPharmacy / INR
CMS Exposure ScoreHIGH
FAQ

Common Questions

AI tools output probabilities — "this patient is 78% likely to be safe for admission." STFE outputs a deterministic calculation — "this patient breaches the INR constraint at 4.2 vs. facility maximum 3.5." The difference is CMS defensibility. Probabilistic outputs are not auditable. STFE decisions are SHA-256 signed, reproducible calculations that hold up in any survey or ADR dispute.
STFE integrates via SMART on FHIR (launch from within Epic, Cerner, or PointClickCare), CDS Hooks (passive cards in the EHR workflow), and a direct webhook API. The FHIR R4 adapter maps comprehensive clinical data to the patient state vector automatically. Most facilities are live within 2–4 weeks. No EHR replacement or IT project required.
Yes. STFE is deployed on AWS HIPAA-eligible services. We sign Business Associate Agreements (BAAs) with all customers. All PHI is encrypted in transit and at rest. Access is governed by Role-Based Access Control (RBAC) with 5 distinct roles. We maintain SOC 2 Type II compliance with annual third-party audits.
A Shadow Audit re-evaluates your historical admissions against current CMS rules and STFE's clinical constraint engine — without any PHI. You provide a de-identified CSV (reference ID, clinical data points) and STFE runs every case through the engine and returns a risk-stratified PDF report showing which cases had violations, the estimated financial impact, and the top risk domains. In pilot facilities, shadow audits typically surface previously-undetected constraint violations across a meaningful share of prior admissions.
Yes — and STFE is the only enterprise tool built specifically for CAH swing beds. We cover the 72-hour admission requirement, 101% cost-based reimbursement calculations, 25-bed census limits, rural transfer risk constraints, and CAH-specific billing path selection. No competitor addresses CAH admissions with this depth of specificity.
Standard implementation is 2–4 weeks. Week 1: DON threshold configuration and facility profile setup. Week 2: EHR integration and staff training. Week 3: shadow audit of prior cases and clinical rule validation. Week 4: go-live with full production traffic. We have a dedicated Customer Success team that walks facilities through every step.
Careers

Build the Audit-Defensible Future of Post-Acute Care

We're a deliberately small team building deterministic clinical decision infrastructure for a 1,381-CAH and 15,000-SNF segment that nobody else takes seriously. If you've ever shipped a system where a wrong answer means a real audit, you'll fit here.

Deterministic by design

No "the model said so" answers. Every output is a calculation a regulator can re-derive.

Real clinical impact

Our customers run admission decisions through STFE before signing them. Bugs hurt people.

Engineering rigor

SHA-256 audit chains, type-safe constraint registry, full HIPAA boundary discipline.

Distributed

Plainsboro, NJ + Hyderabad, India. Async-first. Evidence over presence.

About STFE Systems, Inc.

We are a deep-tech startup pioneering the future of healthcare interoperability and deterministic AI. At the core of our technology is the Spatio-Temporal Feasibility Engine (STFE) — a proprietary, rules-based engine designed to eliminate "physical hallucinations" in AI by validating complex, multidimensional constraints. We build secure, SMART on FHIR-compliant systems that integrate seamlessly with major EHR platforms. If you want to work on bleeding-edge neuro-symbolic AI and build deterministic systems that healthcare providers can trust, join us.

Open Roles

Full Stack Architect (Python / FastAPI / React)

📍 Plainsboro · Hybrid / Remote 💼 Full-time 🎓 10+ years Architecture

Lead the technical design and scaling of the STFE platform. You will be the technical backbone, ensuring our Python/FastAPI backend and React frontend communicate flawlessly, perform at scale, and maintain strict deterministic data integrity.

Key Responsibilities
  • Design and own the end-to-end architecture of the STFE web applications
  • Establish coding standards, CI/CD practices, and technical roadmaps
  • Optimize complex PostgreSQL queries and schema designs for high-throughput, multidimensional vector data
  • Mentor senior and mid-level developers, conducting rigorous code reviews
  • Spearhead the integration of complex API gateways (including SMART on FHIR standards)
Requirements
  • 10+ years of software engineering experience, with at least 3+ years in an architectural role
  • Expert-level proficiency in Python, FastAPI, React (with Tailwind CSS), and PostgreSQL
  • Deep understanding of system design, microservices, and state management
  • Experience with deterministic rule engines or neuro-symbolic AI is a massive plus
Python · FastAPI · React · Tailwind · PostgreSQL · SMART on FHIR · Microservices

Senior DevOps Engineer (AWS)

📍 Hyderabad / Plainsboro · Hybrid 💼 Full-time 🎓 6+ years DevOps / SRE

STFE Systems requires a robust, secure, and highly available infrastructure. Own our AWS cloud environment, ensuring zero-downtime deployments, strict security compliance for healthcare data, and seamless scaling.

Key Responsibilities
  • Design, build, and maintain our AWS infrastructure using Infrastructure as Code (Terraform / CloudFormation)
  • Manage and optimize Docker containerization for both frontend and backend deployments
  • Implement and maintain CI/CD pipelines (GitHub Actions / GitLab CI) for automated testing and deployment
  • Ensure infrastructure complies with strict healthcare data security standards (HIPAA / SOC2 readiness)
  • Monitor system health, database performance (PostgreSQL / Redis), and manage disaster recovery protocols
Requirements
  • 6+ years of DevOps / SRE experience
  • AWS Certified Solutions Architect or DevOps Engineer (Professional) preferred
  • Strong experience with Docker, ECS / EKS, CI/CD tools, and database administration
AWS · Terraform · Docker · ECS / EKS · GitHub Actions · PostgreSQL · Redis · HIPAA / SOC2

Senior Backend Developer (Python / FastAPI / PostgreSQL)

📍 Plainsboro · Hybrid / Remote 💼 Full-time 🎓 5+ years Engineering

Build the core modules of the STFE platform. You will translate complex deterministic rules into highly efficient, scalable code, working closely with the Architect to bring the multidimensional state vector engine to life.

Key Responsibilities
  • Build robust, high-performance APIs using Python and FastAPI
  • Write clean, maintainable, and thoroughly tested code
  • Collaborate on database design and optimize complex PostgreSQL queries
  • Integrate third-party LLMs (Claude, Gemini, OpenAI) into our deterministic orchestration layer
Requirements
  • 5+ years of production experience in Python / FastAPI
  • Strong understanding of relational databases (PostgreSQL) and caching layers (Redis)
  • A product-minded approach — you care about the end user and system reliability
Python · FastAPI · PostgreSQL · Redis · LLM orchestration

Senior Frontend Developer (React / Tailwind)

📍 Hyderabad / Plainsboro · Hybrid 💼 Full-time 🎓 5+ years Engineering

Build responsive, intuitive, and highly secure user interfaces using React and Tailwind CSS that real clinicians and DONs use every day to make admission decisions. Strong attention to UX detail and accessibility required.

Key Responsibilities
  • Build responsive, intuitive, and highly secure user interfaces using React and Tailwind CSS
  • Write clean, maintainable, and thoroughly tested code
  • Translate complex deterministic clinical state into clear user-facing interactions
  • Collaborate with backend on API contracts and state management
Requirements
  • 5+ years of production experience with React (and ideally Tailwind CSS)
  • Strong understanding of modern state management and component architecture
  • A product-minded approach — you care about the end user and system reliability
React · Tailwind CSS · TypeScript · Modern state management · A11y

Senior QA Automation Engineer

📍 Hyderabad / Plainsboro · Hybrid 💼 Full-time 🎓 5+ years Quality Engineering

In deterministic healthcare systems, bugs are not an option. Build our testing infrastructure from the ground up, ensuring that every constraint and transformation node in the STFE functions with 100% mathematical accuracy before deployment.

Key Responsibilities
  • Design and implement an automated testing framework for both our FastAPI backend and React frontend
  • Write comprehensive test suites covering unit, integration, API, and E2E testing (Cypress / Selenium / Playwright)
  • Perform rigorous edge-case testing on mathematical and temporal constraints
  • Integrate automated tests directly into our CI/CD pipelines
Requirements
  • 5+ years of QA Automation experience
  • Proficiency in Python or JavaScript for writing test scripts
  • Experience testing complex RESTful APIs and modern SPAs
Cypress · Playwright · Selenium · pytest · CI/CD · API testing · E2E

Software Developer / QA Engineer (Mid-Level)

📍 Hyderabad / Plainsboro · Hybrid 💼 Full-time 🎓 1–3 years Engineering / QA

We are expanding our core team to accelerate the development of the STFE platform. Work alongside our senior engineers to build features, write tests, and ensure our systems are production-ready.

Key Responsibilities
  • Devs: Develop new features across the stack using FastAPI and React
  • QA: Execute manual and automated test cases, logging detailed bug reports
  • Participate in daily stand-ups and agile planning
  • Write technical documentation for features and APIs
Requirements
  • 1–3 years of professional experience in software development or QA
  • Solid foundational knowledge of Python, JavaScript / React, or automated testing frameworks
  • High hunger to learn complex system architecture and AI orchestration
Python · FastAPI · React · pytest · Cypress · agile

Software Developer / Integration Engineer (Mid-Level)

📍 Plainsboro · Hybrid / Remote 💼 Full-time 🎓 1–5 years Engineering / BI

We are expanding our core team to accelerate the development of the STFE platform. Work alongside our senior engineers to build features, write tests, and ensure our systems are production-ready.

Key Responsibilities
  • Devs: Develop new features across the stack using FastAPI and React
  • BI: Execute manual and SFTP based Data Integrations, Build Data repositiories & BI reports
  • Participate in daily stand-ups and agile planning
  • Write technical documentation for features and APIs
Requirements
  • 1–5 years of professional experience in software development and data integrations
  • Solid foundational knowledge of Integration tools like Informatica, ODI, OIC and experience in BI reports
  • High hunger to learn complex system architecture and AI orchestration
Informatica · ODI · BI Publisher · OBIEE · Agile

Don't see your role? We're always hiring strong people.

📍 NJ / Hyderabad / Remote General Application

Clinical informatics, customer success, sales engineering, compliance — if you've built things that real hospitals depended on, we want to hear from you.

Apply by email — careers@stfe.io — with resume, portfolio or GitHub, and a brief note on a system you've shipped where correctness mattered. We read every email.

Global Presence

USA Headquarters & India Engineering Center

STFE Systems operates a dual-hub model — clinical strategy and customer success in the United States, engineering and product development in India.

🇺🇸

United States — Headquarters

AddressSTFE Systems Inc.
4503 Fox Run Dr
Plainsboro, NJ, 08536
United States
🇮🇳

India — Engineering & Development Center

AddressSTFE Systems
# 308 & 309, Capital Park
VIP Hills, Silicon Valley,
Hyderabad, Telangana 500081
HoursMon–Fri 9am–7pm IST
Get Started

See STFE Live — Request a Demo

See the engine evaluate a real patient case in under 90 seconds. We'll also run a complimentary shadow audit on your historical data.

Tell us about your facility

All fields help us customize your demo to your specific clinical setting.