Case 01 · Hereditary hemochromatosis
Four specialties. One diagnosis hiding in 12 years.
Cross-specialty clues become one longitudinal pattern.
Watch on YouTubeThis page is how the AI works, underneath every Krasyn product. If you are looking for the EMR that a practice actually runs on, that is the Krasyn EMR, or compare all five products.
AI That Supports Notes, Claims, and Care Team Decisions
Most EMRs bolt AI onto the surface. Krasyn built it into the foundation. The result is a platform where intelligence is not a feature you toggle on; it is embedded where core workflows become easier to review in the places where clinicians document, order, and prepare claims.
Request a DemoNot a Feature. An Infrastructure Layer.
Legacy vendors market AI as an add-on module — a checkbox on a feature sheet. Krasyn takes a fundamentally different approach. Our AI engine sits beneath the core clinical and operational surfaces, using clinical context, operational signals, and financial data to make high-volume outpatient work easier to review.
When a provider opens a chart, AI-supported briefs can surface likely visit context. When a coder reviews a claim, the AI can surface likely codes for review. When a scheduler looks at tomorrow, operational analytics can highlight schedule risk for staff review. This is not artificial intelligence as a product - it is artificial intelligence as an operating principle.
Ambient AI Scribe
The AI ambiently listens to the patient-provider conversation and drafts structured clinical documentation from the encounter. SOAP notes, ICD-10 and CPT code suggestions, orders, referrals, and follow-up tasks are prepared for provider review, editing, and sign-off.
- Real-time transcription with speaker diarization and medical entity recognition
- Automatic SOAP note generation with confidence scoring per section
- AI-suggested ICD-10 and CPT codes with source-text traceability
- Linked Evidence - generated note sections can map back to source conversation segments for provenance and trust
- Extracted action items: orders, referrals, prescriptions, and follow-ups prepared for clinician review
- Auto-generated patient visit summaries and referral letters
- Provider-specific preferences and templates that can be refined from signed-note feedback
Clinical AI Copilot
A chart-aware AI assistant that understands the full patient record. Ask clinical questions and get instant, evidence-grounded answers with source references. Generate pre-visit briefs and patient-friendly after-visit summaries with one click.
- Chart-aware Q&A — ask about medications, labs, diagnoses, care gaps, and get answers grounded in the patient record
- Linked Evidence when supporting chart sources are available — traced to specific entries for review
- Pre-visit summary generation with active problems, recent labs, care gaps, and AI-suggested talking points
- Patient-friendly after-visit summaries with plain-language explanations, action items, and follow-up instructions
- Proactive suggested questions based on patient context — surfaces insights you might miss
- Evidence-based clinical recommendations grounded in current guidelines and specialty best practices
Three synthetic charts. Three different reasoning problems.
What changes when the AI can review years, not minutes?
Each short shows a different longitudinal signal: clues split across specialties, a quiet lab trend with medication consequences, and an episodic pattern visible only on a calendar. These are synthetic, non-PHI cases built to demonstrate Krasyn Comprehensive Chart Review.
Case 02 · Adult hypophosphatasia
This low lab value changed the diagnosis and the treatment
A repeatedly low result changes the medication-safety picture.
Watch on YouTubeCase 03 · Acute intermittent porphyria
Every scan was normal. The calendar wasn't.
Attack-only findings emerge when years of visits line up.
Watch on YouTubeIllustrative synthetic cases, not autonomous diagnoses. Krasyn surfaces evidence and hypotheses for clinician review; the clinician confirms the next step and makes every clinical decision.
Follow Krasyn on YouTubePredictive Billing
The AI analyzes documentation and surfaces likely billing codes for review before submission. It can identify potential under-coding, documentation gaps, and payer-sensitive issues so your practice can review revenue opportunities before a claim leaves the EMR.
- E/M level suggestions based on signed-note documentation
- Under-coding review that highlights missed complexity or procedures
- Denial-risk checks after payer and clearinghouse setup
- Revenue opportunity reports that estimate reviewable charge-capture gaps
Clinical Decision Support
Patient safety depends on catching the right signal at the right moment. The Krasyn AI engine monitors medications for interactions, surfaces overdue preventive care, identifies care gaps based on diagnosis-specific guidelines, and delivers reviewable reminders with alert-load controls.
- Drug-drug and drug-allergy interaction checking at the point of prescribing
- Care gap identification informed by USPSTF preventive care recommendations and standard quality measure frameworks
- Preventive care reminders tailored to patient age, sex, and risk factors
- Alert suppression and tuning based on configured thresholds and provider feedback
Cognitive Load Engine
Every extra click is a micro-decision that drains focus. The cognitive load engine uses chart and visit context to pre-stage likely next steps for review. Open a chart and Krasyn can bring relevant briefs, templates, and shortcuts closer to where documentation begins. The interface adapts to the provider, not the other way around.
- Contextual next-action suggestions designed to reduce clicks per encounter
- Context-aware UI that surfaces relevant tools based on visit type
- Smart defaults for orders, templates, and documentation based on historical patterns
- Workflow shortcuts shaped by provider preferences and review feedback
Continuous Learning
Static rule engines grow stale. Provider accept and reject signals, evolving clinical guidelines, and updated coding rules can feed into the prompt and retrieval strategies the engine uses, so the system can improve under review rather than drifting out of date.
- Provider feedback can shape prompt and retrieval strategies over time
- Practice-specific templates and order sets reflect how your organization documents
- Updated clinical guidelines and coding rules can be incorporated into governed releases
- Patient data stays inside our HIPAA-aligned infrastructure — never sent to third-party model training
Integrated Telehealth
Video visits built directly into the EMR on infrastructure designed for HIPAA compliance — not a bolt-on integration. Patients join from a waiting room, providers connect with full chart access, and the ambient AI scribe documents virtual-visit documentation inside the same clinical workspace.
- HD video, audio, and secure chat visits — all within the EMR workflow
- Virtual waiting room with automated patient check-in and device readiness checks
- Full chart access during video visits with ambient AI documentation
- Patient self-scheduling for telehealth appointments via the patient portal
- Telehealth-specific CPT code suggestions for accurate virtual visit billing
Remote Patient Monitoring
Track patient health data from connected devices between visits. Blood pressure monitors, glucose meters, pulse oximeters, scales, and activity trackers send readings directly into the patient chart. Review alerts notify providers of abnormal values, trend anomalies, and compliance gaps so staff can intervene earlier when a reading needs attention.
- Real-time device readings for blood pressure, glucose, weight, SpO2, and heart rate
- Configurable alert thresholds with severity-based escalation (Critical, High, Medium, Low)
- Patient compliance tracking with automated missed-reading alerts
- RPM-specific billing support (CPT 99453-99458) for revenue optimization
- Trending and longitudinal data visualization for chronic disease management
- Device connectivity and sync-status monitoring as supported by the device integration
Patient Self-Scheduling & Digital Intake
Give patients the digital front door they expect. Online appointment booking, digital intake forms that pre-populate the chart, and automated reminders — all integrated with your provider schedules. Reduce phone tag, support no-show prevention workflows, and start every visit with patient data already in the system.
- Online appointment booking with real-time provider availability
- Digital intake forms that auto-populate demographics, medications, and allergies
- Appointment reminder preferences captured per visit (automated dispatch is on the roadmap, not yet active)
- New patient vs. established patient slot management
- Insurance verification workflow support before the visit
Learn More
Product Overview
See the full Krasyn platform — clinical documentation, billing, orders, patient engagement, and analytics unified in a single AI-native system.
What Is an AI-Native EMR?
Understand the difference between AI as a bolt-on feature and AI as a foundational architecture — and why it matters for your practice.
Experience the AI Engine First-Hand
See how Krasyn's AI infrastructure reduces documentation burden, helps surface missed revenue opportunities, and gives providers more time back.