AI Transparency Disclosure

Purpose

Generates draft clinical notes, SOAP documentation, IEP progress notes, and therapy session summaries from provider dictation or session transcripts.

Data Used

• Audio recordings or transcripts of clinical sessions (with patient/guardian consent)
• Patient demographics and clinical history
• Provider preferences and documentation style
• Billing codes and service types

Training Data

Uses commercial AI models (commercial AI models) trained on publicly available clinical documentation examples and medical literature. No Joyera customer data is used to train these models.

Human Oversight

All AI-generated documentation requires review and approval by a licensed healthcare professional before being finalized. The provider has full editing capability and bears sole responsibility for the final clinical record.

Demographic Factors

Age and diagnosis may influence documentation templates and suggested ICD-10 codes. No race, ethnicity, or socioeconomic factors influence clinical suggestions.

Purpose

Suggests appropriate CPT, ICD-10, and HCPCS codes based on clinical documentation to support accurate medical billing.

Data Used

• Clinical session notes and documentation
• Service type and duration
• Patient diagnosis and treatment goals
• Payer requirements and coverage rules

Training Data

Uses commercial AI models trained on publicly available medical coding guidelines (CMS, AMA CPT manuals). Code suggestions are based on official coding rules, not historical billing patterns.

Human Oversight

All code suggestions are presented as recommendations only. Providers must verify and select appropriate codes. The billing professional or provider is solely responsible for code accuracy and compliance.

Purpose

Provides conversational assistance for scheduling, patient lookup, task management, billing inquiries, and general practice workflow support.

Data Used

• Conversation history within the current session
• Practice calendar and appointment data
• Patient demographics (name, DOB, contact info)
• Task and billing status information

Training Data

Uses commercial AI models (commercial AI models) with Joyera-specific prompts for healthcare workflows. No customer data is used for model training. Practice-specific knowledge (protocols, SOPs) may be retrieved from practice knowledge base when enabled.

Human Oversight

Users can review all AI responses, request clarification, or override AI suggestions. All actions (scheduling, task creation) require explicit user confirmation before execution.

Purpose

Converts audio recordings of clinical sessions into text transcripts for documentation purposes.

Data Used

• Audio recordings of clinical sessions
• Speaker identification metadata
• Session date and time

Training Data

Uses commercial speech-to-text services (commercial speech-to-text services) trained on general speech data. Customer audio is processed in real-time and not retained for training by these providers under our Business Associate Agreements.

Human Oversight

Providers can review and correct transcripts before use. Transcripts are marked as AI-generated until reviewed.

Purpose

Retrieves relevant protocols, standard operating procedures (SOPs), and clinical guidelines from practice-uploaded documents to assist with clinical decision-making.

Data Used

• Practice-uploaded documents (protocols, SOPs, guidelines)
• User query context
• Session and patient context

Training Data

No external training. Uses practice-provided documents only. Retrieval is based on semantic similarity matching.

Human Oversight

Practice administrators control which documents are indexed. Retrieved information is presented as reference material, not clinical directives. Clinical judgment remains with the provider.

Purpose

Analyzes insurance claim denials and suggests appeal strategies, generates draft appeal letters based on denial reasons and clinical documentation.

Data Used

• Claim submission data and denial reasons
• Clinical documentation supporting medical necessity
• Payer-specific appeal requirements
• Historical appeal outcomes (anonymized)

Training Data

Uses commercial AI models with Joyera-specific prompts. Appeal strategies are based on CMS guidelines, payer policies, and general healthcare billing best practices.

Human Oversight

All appeal letters require review by billing staff or providers before submission. Final appeal decisions rest with the practice.

Purpose

Suggests optimal appointment times based on provider availability, patient preferences, and historical scheduling patterns.

Data Used

• Provider calendars and availability rules
• Patient scheduling preferences
• Appointment type and duration requirements
• Historical no-show patterns (anonymized)

Training Data

Uses rule-based algorithms and commercial AI models. No patient-specific predictions about attendance are made.

Human Oversight

All scheduling suggestions require confirmation by staff or patients. No appointments are automatically booked without human approval.

Purpose

Generates draft content for patient communication campaigns (appointment reminders, health education, practice updates).

Data Used

• Campaign purpose and target audience
• Practice information and branding
• General patient communication templates

Training Data

Uses commercial AI models trained on general marketing and healthcare communication best practices. No patient-specific data influences content generation.

Human Oversight

All campaign content must be reviewed and approved by practice staff before sending. Recipients can opt out of marketing communications.