Trusted & Certified
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
The Cost of Inaction
Health systems and payers that delay AI deployment fall behind on cost per encounter, prior auth cycle time, and clinician burnout. Burnout in particular is a compounding crisis.
See how blockchain-powered solutions eliminate the inefficiencies of traditional finance.
We're building healthcare AI tools to give your care teams superpowers. Constituent care teams and care experiences get much better, and your care teams save time and effort by drastically simplifying the workflows they use every day. Because they're rich in context and based on real practice, our solutions empower your doctors, nurses, and staff, not burn them out.
Assist patients in scheduling appointments, receiving reminders, answering common questions, and finding the right healthcare services without waiting on phone calls.
Eliminate duplication of efforts in patient intakes, triage, follow-up communication, internal task creation and routing, and care coordination.
Create secure chatbots for hospitals, clinics, and healthtech platforms to handle FAQs, scheduling, and patient support.
Turn patient, clinical, and operational data into clear insights that help teams make faster and more informed decisions.
Support doctors and staff with note summaries, record organization, report handling, and faster documentation workflows.
Use AI to spot patient risks, demand trends, care gaps, and operational issues before they slow down service delivery.
Our healthcare AI solutions are built to support the real work happening inside hospitals, clinics, healthtech platforms, and care networks. We focus on practical AI capabilities that improve patient access, reduce staff workload, and help teams use healthcare data with more confidence.
Our AI assistants enable patients to schedule appointments, inquire about general questions, get reminders, and receive guided support while avoiding long delays.
Our AI applications are better at pinging signals, identifying patterns, and getting your care team the right info faster.
We convert disorganized healthcare data into refined, actionable information for reporting, clinical care planning, patient management, and operational business decisions.
Our AI-powered healthcare solutions can help identify patient risks, demand trends, care gaps, and workflow delays before they become bigger issues.
We automate repetitive tasks like intake, triage routing, follow-ups, documentation support, billing checks, and internal team coordination.
Integrate with your current setup. We integrate AI solutions with your EHR, CRM, scheduling, billing, lab, and patient engagement systems so you get a smooth experience.
From the outset, we develop our AI products for healthcare, keeping privacy, transparency, access control, and human oversight considerations at the core of our work.
Case Study
US Academic Medical Center
Acute Care !
The Challenge
Due to false positives, the AMC's sepsis screening was causing alarm fatigue that clinicians would no longer heed. Outcomes had remained stagnant for three years, so the CMO required an AI tool to downplay false positives and integrated into clinical flow, which was accepted by the sepsis committee pre-adoption.
Our Solution
We co-designed the workflow with clinicians and built an AI model using Epic FHIR data, clinical NLP, and structured patient signals. Each alert showed clear reasoning, while overrides and feedback gave clinicians control and helped the system improve over time.
-18% ↗ vs prior year baseline
30 Day Mortality
-72% ↗ From 380ms
False Positive Rate
-46 min ↗ median across deployment
Time To Antibiotics
94% ↗post launch survey
Clinician Adoption
Technical Architecture
HIPAA-grade by design with EHR native integration and clinician-facing workflows.
Cloud & Platforms
Smart Contract Standards
Smart Contract Standards
Integrations & Partners
Developing AI for healthcare requires more than just a clever algorithm. It also requires structured and reliable information, secure infrastructure, defined processes, and genuine insights from the end users. All the people who will be using the system daily. Our approach guides healthcare teams from concept to deployment with less guesswork and greater confidence.
Workflow Discovery 1-2 Weeks
We begin by gaining a clear picture of your care processes, patient experience, staff pain points, and the specific issue your AI will address.
Data Readiness Check 1-2 Weeks
We review your data sources, formats, quality, access rules, and integration needs before planning any AI development.
Solution Planning 2-3 Weeks
We define the right AI features, user roles, system logic, compliance needs, and success metrics for your healthcare AI solutions.
Secure AI Development 4-8 Weeks
Our team builds AI solutions in healthcare with privacy, access control, audit trails, and human review built into the product from the start.
Integration and Testing 2-4 Weeks
We connect the solution with your EHR, CRM, scheduling, billing, or patient systems and test it across real healthcare use cases.
Launch and Optimization Ongoing
After launch, we monitor performance, collect user feedback, improve accuracy, and keep your AI-powered healthcare solutions aligned with daily operations.
Full production network live in 16-24 weeks from engagement start.
Every framework that governs healthcare AI globally.
United States
United States
United Kingdom
Singapore
UAE
Canada
Australia
Australia
Canada
Japan
HIPAA
US Health Insurance Portability and Accountability Act
HITRUST CSF
Health Information Trust Alliance security framework
FDA SaMD
US FDA Software as a Medical Device pathway
EU MDR
EU Medical Device Regulation for software medical devices
EU AI Act
High risk AI requirements for healthcare
GDPR
EU General Data Protection Regulation special category data
21 CFR Part 11
FDA electronic records and electronic signatures
ONC Information Blocking
US 21st Century Cures Act information blocking rule
Defensible architecture for InfoSec, DPO, and internal audit review.
AI/ML security assessments
AI model security platform
AI risk management
AI red teaming services
Enterprise AI security
LLM API security testing
OWASP ASVS Level 2+ coverage on every shipped service
SAST + SCA + IaC scanning in every pipeline
Container image scanning with signed artifacts Cosign
Secrets management via Vault / KMS - no secrets in code
Encryption at rest AES-256 and in transit TLS 1.3+
Zero-trust network segmentation with service-mesh mTLS
Audit logging shipped to immutable storage WORM
Quarterly threat-model reviews and tabletop exercises
Enterprise-Grade Security
Bank-level encryption and compliance standards.
256-bit AES encryption
99.99% Uptime SLA
24/7 Monitoring
See Our AI Solutions in Action
Get a personalized live demo tailored to your exact use case, built by the same engineers who will work on your project.
Why do health systems and payers choose Ment Tech over generic AI vendors?
Ment Tech delivers HIPAA-grade healthcare AI with clinician-approved workflows in 16 weeks.
ROI & Value
Measured impact across clinical outcomes, operations, and revenue cycle.
Key Metrics
automation plus rule engines
critical finding triage
coding assistant on inpatient
voice AI navigation
Administrative Cost
Prior auth, coding, and call center automation.
5M to 50M per year
Clinical Outcomes
Sepsis, deterioration, and population health interventions.
Reduced LOS and readmissions
Revenue Cycle Lift
Coding accuracy, denial prevention, and faster adjudication.
10M to 100M per year
Potential Annual Saving
Up to 70%
Engagement structures aligned to provider and payer procurement.
Healthcare AI Assessment
Three-week assessment of AI opportunities across clinical, operational, and revenue cycles.
Health systems and payers scoping their first AI program
Production AI Build
End-to-end build of a single healthcare AI use case with HIPAA grade architecture.
Health systems and payers ready to ship
Multi-Use Case Program
Multi-use case program across clinical, prior auth, imaging, and revenue cycle.
Top 100 health systems and payers
What's Included in Every Engagement
Get Your Tailored Project Quote
Share your requirements and receive a detailed technical proposal with transparent pricing within 48 business hours.
FAQ
Healthcare AI: Healthcare AI tools utilize artificial intelligence to enhance care for patients, streamline processes, and facilitate decisions. They are capable of performing functions such as scheduling, providing patient support, summarizing data, automating processes, and data.
AI can provide a better experience by shortening the wait time and improving accessibility to support. This can be achieved by providing appointment reminders, providing answers to common questions, providing guided intake forms, or providing quicker assistance pre- or post-visit.
Absolutely. If the AI healthcare application is built properly, it will integrate with your EHR, scheduling, billing, CRM, and lab systems, along with having access to patient portals. The application is to fit right into your workflow.
They can be, if security is planned from the start. Strong healthcare AI systems should include encryption, role-based access, audit logs, secure APIs, data privacy controls, and clear rules for how patient information is handled.
No. AI should support healthcare teams, not replace them. It can help by organizing information, reducing repetitive work, and highlighting useful patterns, but clinical decisions should always remain with qualified professionals.
Hospitals, clinics, telemedicine platforms, diagnostic labs, insurance companies, healthtech startups, and care networks can all use AI in different ways. The right solution depends on the workflow, data, users, and problem you want to solve.
It depends on the use case. A simple AI assistant or automation workflow can move into an MVP quickly, while advanced solutions like predictive analytics or clinical decision support need more time for data review, testing, integrations, and validation.
Doctors trust AI that is transparent, helpful, and controllable. That involves explaining why an AI system made a recommendation, keeping clinicians involved, training with actual workflows, and providing care teams a method to audit, override, and upgrade it.
Still have questions?
Can’t find the answer you’re looking for? Our team is here to help.
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Book a Healthcare AI Assessment. Three weeks to a clinically scoped roadmap and ROI case for your priority use cases.