LYFR
AI-Accelerated, Clinically Designed, IP-Protected: Transforming smartphones into medical-grade assessment and record management tools.
The Future of Health Intelligence
LYFR ai is an AI-accelerated health platform that combines patient medical records, provider documentation, and advanced assessment tools in one system. It features SmartTrack™ for AI-guided assessments, SmartChart™ for automated voice-to-note charting, and SmartCheck™ for cognitive and emotional screening. Designed for patients, providers, and enterprises, LYFR ai improves care, ensures compliance, and enhances interoperability with existing EHR systems. Built with a provisional patent and global scalability in mind, it represents a clinically designed, IP-protected opportunity for healthcare innovation and acquisition.
"The tool to assess, interpret, and understand your medical data"
Smart Modules
Eight Smart Tools. One Powerful Platform
Making Medical Records Searchable
No more scrolling through PDF's, find what you need now. Suggestive diagnostics, record interpretations; "a retirement forecast for your health". Eliminate gaps in care, prevention, and management.
-Founder
Patients
Collect, track, and understand your health.
Providers
Save time, improve billing, reduce risk.
Enterprises/EHRs
Seamless interoperability and compliance.
What is LYFR ai
So Many Records Not Enough Time, What does it all Mean?
LYFR ai is built as a patient-facing, provider-ready, and enterprise-scale solution for medical assessment and health management. Imagine using your phone as a powerful hub to screen for common conditions — from mental health disorders and cognitive decline to heart and lung sounds, skin conditions, oral health, range of motion, audiometry, and beyond. Powered by our patented AI algorithms, LYFRai integrates medical history, wearable data, and scanned documents to identify gaps in care, uncover missed diagnoses, and provide evidence-based suggestions for next steps. Patients can track their progress over time, while providers gain structured insights that support accurate documentation and care planning. With simple camera or video input, even piles of paper records become an organized, user-friendly health timeline. LYFRai’s AI-assisted widgets bridge the gap between raw data and real understanding — a clinical tool designed by clinicians, for clinicians, and built to empower patients, providers, and enterprises alike.
Smart Health Ecosystem
LYFRai is built to be free, secure, and available anywhere even offline.
🌱 Business Unit 1: Mobile Phone Ready Tools
SmartTrack™
AI-powered diagnostics from breath sounds, skin photos, ROM/movement, oral health, audiometry, and iPhone heart-sound cues.
SmartCheck™
Facial, voice, and eye-tracking assessments plus validated tools (PHQ-9, concussion, memory/IQ, mood).
SmartTimeline™ Lite
Scans records, prescriptions, and faxes into a unified timeline with AI-powered OCR/NLP.
SmartAlert™
Real-time risk flags, med-interaction alerts, and triage cues to keep patients safe.
SmartShare™
Instant sharing of results via secure PDF, email, or QR code with consent controls.
SmartScan™
Camera and video capture of records and exams, with AI-assisted interpretation.
🏥 Business Unit 2: Lightweight Electronic Health Record (EHR)
Purpose
A mobile-first EHR designed for solo practices and small clinics — intuitive, streamlined, and cost-effective.
Core Features
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SmartChart™ – Voice-to-note charting with auto CPT/ICD coding.
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Simplified billing + documentation tools.
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Integrated scheduling + patient portal basics.
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Optional virtual assistant for clinical documentation.
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Seamless record export (fax, secure link, PDF).
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Provider-grade security & HIPAA compliance.
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Customizable templates for specialty or workflow needs.
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Medication management with interaction and contraindication alerts.
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Patient intake forms with digital signatures and chart integration.
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Scalable design to grow from solo use to multi-provider practices.
🌉 Business Unit 3: EHR Migration Bridge Platform
Purpose
Simplify healthcare organizations’ migration between EHR systems without losing clinical or operational continuity.
Core Features:
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Secure ingestion and parsing of legacy EHR data (PDFs, CCDs, HL7)
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OCR & NLP to structure clinical records clearly for migration
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Reconciliation and data-gap analysis (via AI-driven comparisons)
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Timeline-driven data views to simplify migration and onboarding
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Ongoing audit and validation of migrated records (compliance checks)
📈 Business Unit 4: Enterprise Clinical Audit & Compliance Engine (Phase 4 rollout)
Purpose:
Provide healthcare organizations with powerful, automated auditing tools to detect legal, compliance, and billing risks.
Core Features:
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AI-driven chart review (automated detection of incomplete or incorrect documentation)
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Clinical decision-support prompts and risk stratification
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Flagging of overlooked patient follow-ups, billing gaps, and documentation inconsistencies
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Robust compliance dashboard, legal risk scoring, and automated reporting
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Integrated alerts for clinical leadership teams
🌐 Business Unit 5: Fully Integrated Global Health Platform (Future Expansion)
Purpose:
Expand LYFR internationally, securing regulatory clearances and ensuring interoperability across diverse health systems.
Core Objectives:
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FDA 510(k) clearance for diagnostic functionalities (as needed)
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GDPR compliance for EU markets; regulatory compliance for Canada, UK, Australia
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Localization of clinical AI tools, user interfaces, and data management
Open Source with Commercial Power
LYFR is available under the Business Source License (BSL). That means it’s free to explore, fork, or use non-commercially — but powerful enough to license and deploy in clinical settings
Open Source. Commercially Licensed. Clinically Designed.
LYFR is licensed under the Business Source License (BSL). You can explore the code, contribute, or use it freely for non-commercial projects.
🧠 Commercial use requires a license — available for startups, providers, and enterprise deployments.
Interoperability
Store all of your health data in one place and interpret with AI driven analytics
LYFRAI is built to connect effortlessly with the devices patients already use. From wearables like Apple Watch and Fitbit to diagnostic tools such as digital stethoscopes, otoscopes, and glucose monitors, the platform syncs health data in real time. This interoperability allows patients and providers to see a complete health picture — activity, vitals, and medical data all in one chart. With flexible APIs and FHIR standards, LYFRAI ensures compatibility today and scalability for the devices of tomorrow.
Use across Platforms
Device & Wearable Data Integration
LYFRai connects with a wide range of health devices through a multi-layer interoperability engine:
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API Integrations: Direct connections with Apple Health, Google Fit, Fitbit, and other device APIs to pull vitals (heart rate, SpO₂, steps, sleep).
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Bluetooth/Local Sync: Support for smart stethoscopes, otoscopes, glucometers, and blood pressure cuffs that connect via Bluetooth or companion apps.
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File & Data Ingestion: Ability to scan or import device-generated PDFs, CSVs, or HL7/FHIR exports into the SmartTimeline™.
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Standards-Based Exchange: FHIR/HL7 compliance ensures interoperability with hospital-grade devices and EHR-connected diagnostic tools.
Once imported, all data is normalized and structured within the patient’s SmartTimeline™, where it can be analyzed by SmartAnalytics™ for predictive insights, risk detection, and care recommendations.
⚙️ Our Technology Stack
Built for speed, security, and scalability
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AI & Machine Learning – Natural Language Processing (BioBERT, MedSpaCy, scispaCy), image/audio recognition, diagnostic reasoning engines.
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Mobile Framework – React Native (Expo) for seamless iOS + Android deployment.
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Backend Infrastructure – Node.js + secure cloud hosting (AWS/Cloudflare).
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Healthcare Standards – FHIR, HL7, Redox, and HIPAA-compliant architecture.
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Data Integration – OCR for scanned docs, video-to-text, wearable + device APIs (Apple Health, Fitbit, Eko).
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Security – End-to-end encryption, audit trails, role-based access control.
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Scalability – Modular design for patients, providers, and enterprise expansion.
Monetization & Cost Savings with LYFRai
Provider Value
Reduced Charting Burden – SmartChart™ cuts typing by 70%, saving $25K–$40K per provider.
Lower Admin Costs – Automated intake & SmartTimeline™ save $15K–$20K per clinic.
Billing Accuracy – CPT/ICD automation + compliance alerts boost revenue by $50K+ per provider.
Risk Reduction – SmartAlerts prevent errors, avoiding $10K–$30K in penalties/lawsuits.
Interoperability Savings – Built-in device/EHR connections replace $50K–$100K IT projects.
Patient Retention – SmartCheck™ & SmartShare™ improve outcomes, reducing churn and increasing revenue.
Insurance Billing
Value for a Small Practice (1–5 Providers)
RPM & CCM Bill $40–$150/patient/month for vitals, mood, and monitoring.
Preventive Screenings – Annual depression, alcohol, and cognitive checks reimbursed.
Telehealth – Intake + auto-documentation supports common telehealth codes.
Behavioral Health – PHQ-9 and anxiety tools align with BHI billing codes.
PT/OT Assessments – Range-of-motion and disability tools support therapy codes.
Risk Adjustment – Analytics capture missed diagnoses to boost value-based payments.
Annual Savings (per provider):
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Productivity gain: +$60K
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Reduced admin costs: +$20K
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Risk avoidance: +$15K
➡️ ~$95K savings per provider → $95K–$475K per practice
Annual Revenue Uplift (per provider):
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Billing accuracy: +$70K
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RPM/CCM programs: +$120K (200 patients)
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Preventive screenings: $30–40/patient
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BHI services: $40–70/encounter
➡️ ~$190K+ new revenue per provider → $190K–$950K per practice
✅ Total Value Potential:
$285K–$1.4M per year in combined profits & savings for a 1–5 provider practice.
🧠 Open & Free AI Tools Powering LYFRai
Natural Language Processing & Patient Records
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Tesseract OCR – scans paper records, labs, and prescriptions into structured text.
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scispaCy / MedSpaCy – extracts clinical entities (diagnoses, meds, labs) from text.
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BioBERT / ClinicalBERT – interprets medical notes, labs, and reports.
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MedSum – generates concise, AI-driven medical summaries.
Diagnostics & Decision Support
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Glass Health (open clinical reasoning models) – differential diagnoses and plan generation.
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Symptom-checker models – open-source engines for AI-guided patient assessments.
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ClinVar & PharmGKB – predictive genomics and pharmacogenomics analysis.
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Validated rulesets (CHA2DS2-VASc, ASCVD, PHQ-9, GAD-7, concussion tests) – evidence-based scoring.
Image & Audio Analysis
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TorchVision / TensorFlow models – dermatology, oral health, radiology, and retina scans.
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MediaPipe – range of motion, orthopedic, and disability assessments.
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Open-source stethoscope models – smartphone-based heart & lung sound detection.
Lab & Predictive Analytics
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NIH/CDC open datasets – reference sets for lab interpretation.
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scikit-learn & PyTorch Forecasting – predictive modeling of labs, vitals, and outcomes.
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Time-series tools (tsfresh, Prophet) – trend analysis for chronic disease markers (e.g., HbA1c, BP).
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AI reasoning engines – advanced cross-domain analysis for gaps in care and missed diagnoses.
Smart Device & Wearable Integration
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Apple HealthKit / Google Fit APIs – heart rate, steps, sleep, and vitals.
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Fitbit & Garmin APIs – continuous wearable data integration.
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Eko stethoscope SDK – digital cardiopulmonary data capture.
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Consumer diagnostic APIs – otoscopes, glucometers, audiometry devices.
Interoperability & Security
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FHIR / HL7 toolkits – universal health data standards.
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Redox (open integrations) – EHR and HIE connectivity.
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OpenSSL – encryption and HIPAA-ready security tools.
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Audit & logging frameworks – compliance monitoring.
🌍 Open Source Options
LYFRai is designed with an open-source foundation, ensuring transparency, flexibility, and community-driven innovation. By leveraging leading open AI and clinical tools — including BioBERT, scispaCy, MedSpaCy, Tesseract OCR, TensorFlow, PyTorch, and FHIR/HL7 toolkits — LYFRai delivers cutting-edge capabilities without locking providers into costly proprietary systems.
Our open-source approach means:
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Accessibility: Core functions remain free to patients and providers, lowering barriers to adoption.
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Interoperability: Standards-based design (FHIR, HL7, Redox) ensures compatibility across EHRs and devices.
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Scalability: Modules can be customized or extended by health systems, researchers, and developers.
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Innovation: A growing ecosystem of contributors can expand LYFRai with new diagnostic, predictive, and compliance features.
This commitment positions LYFRai not only as a protected, patent-backed platform but also as a collaborative tool that evolves with the needs of patients, providers, and enterprises worldwide.
🔒 Patent Protection
LYFRai is protected by a provisional patent filing, covering its unique combination of AI-driven health assessments, interoperability engine, and multi-modal diagnostic tools. Unlike standalone apps or EHR add-ons, LYFRai integrates:
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SmartTrack™, SmartCheck™, and SmartScan™ – converting smartphones into diagnostic tools.
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SmartTimeline™ and SmartAlert™ – organizing records and flagging risks.
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SmartShare™ and SmartChart™ – enabling secure sharing and automated documentation.
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SmartAnalytics™ – applying predictive modeling across labs, vitals, and device data.
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This IP ensures LYFRai’s innovations — from patient-facing assessments to provider EHR integration — are legally protected against replication, strengthening its value for acquisition, licensing, or enterprise partnerships.
FOUNDER
Ahmad S. Mines, FNP-C is a board-certified Family Nurse Practitioner and healthcare entrepreneur with over 15 years of frontline medical experience spanning urgent care, emergency medicine, and primary care. He has practiced across the Washington, D.C. metro region.
Ahmad’s academic background combines business and clinical expertise: a BBA in Insurance & International Business from Howard University, an Associate’s in Nursing from Montgomery College, and a Master of Science in Nursing from Walden University. He also earned a faculty certification from Johns Hopkins University and has contributed to multiple research and regulatory initiatives in mobile health, medical cannabis policy, and healthcare technology adoption.
Fluent in English and French, Ahmad brings a global perspective to healthcare innovation. His work on LYFRai reflects a vision to bridge the gap between patient data, provider workflows, and advanced AI — delivering solutions that are clinically designed, AI-accelerated, and IP-protected.
Where is the App?
Coming soon...
LYFRai will launch with a streamlined version focused on core patient-facing tools that showcase immediate value. This initial release transforms any smartphone into a diagnostic companion through:
SmartTimeline™ to organize those inputs.
SmartTrack™ (breath sounds, skin images, movement capture)
SmartCheck™ (cognitive and emotional assessments).
SmartScan™, allowing patients to digitize medical records with their camera, and a simplified
By starting lean, LYFR ai can demonstrate its unique ability to unify records, assessments, and predictive insights at low cost, while laying the groundwork for full EHR integration, advanced analytics, and enterprise modules in future rollouts.