# Vision

## 1. Vision Statement

To enable the accurate generation of a patient case summary for every Cardio Thoracic Surgery patient, capturing the doctor's comments, assistant's notes, and patient's answers — all within one to two minutes of session completion.

We envision a future where every Cardio Thoracic Surgery consultation is backed by a thoroughly documented case summary — available to Doctor's staff — where they are empowered with AI-guided questioning protocols, and where Doctors make informed decisions based on complete, systematically captured patient interactions rather than fragmented or incomplete notes.

## 2. Target Users / Personas

- **Doctor's Staff (Primary Users):** Junior doctors and medical assistants familiar with Cardio Thoracic Surgery terminology who will conduct AI-guided patient intake sessions using handheld devices.
- **Cardiothoracic Surgeons (Secondary Users):** Primary consultant doctors who will review AI-generated patient summaries and ask further questions based on the generated summary — all of which are recorded in the session.
- **Team Leads (Tertiary Users):** Leadership responsible for onboarding and offboarding users onto the platform, configuring system parameters, and training the system with department-specific protocols and alert patterns.

Target users benefit from standardized intake protocols and systematically captured patient interactions, giving Doctor's staff a reliable structure for data collection and giving doctors a complete picture before consultation.

## 3. Problem Statements

- **Problem 1:** Doctors in Cardio Thoracic Surgery departments manage high patient volumes with limited consultation time, making thorough symptom collection, medical history review, and proper diagnostic correlation difficult — resulting in suboptimal patient care and potential missed critical information during patient inquiry.

- **Problem 2:** Current manual vital recording and informal intake processes provide doctors with incomplete patient information, forcing them to spend valuable consultation time gathering basic data instead of focusing on diagnosis and treatment decisions.

- **Problem 3:** Absence of systematic protocols for identifying early warning signs that may require senior medical attention during patient intake, creating risks of delayed escalation for cases that need immediate senior consultation.

**Associated Risks and Challenges:**
- **Technical Limitations:** Network connectivity requirements may cause system unavailability in poor signal areas
- **User Adoption:** Medical staff must adapt from manual processes to structured AI-guided workflows
- **Regulatory Compliance:** Healthcare data handling and audit requirements without permanent data storage
- **Clinical Liability:** Balancing AI assistance with maintaining human clinical judgment and decision-making authority

## 4. Core Features / Capabilities

- **AI-Guided Intake Workflow:** Intelligent questioning system that adapts based on patient responses, symptoms, and Cardio Thoracic Surgery-specific protocols, ensuring comprehensive data collection through systematic intake.

- **Senior Consultation Alerting:** Pattern recognition system that identifies concerning symptom patterns and suggests Doctor's staff to immediately consult senior/superior staff for evaluation, without providing diagnosis or emergency classification.

- **Doctor Intelligence Interface:** Doctors receive a summary based on the interaction so far and can ask further questions, which will also get recorded in the session. The system has the intelligence to identify new patterns in the questions asked by doctors over time — based on patient responses — and will proactively prompt those questions in the initial interview itself.

- **Session Resumption Capability:** Automatic data preservation system that saves intake progress when devices lose power or network connectivity, allowing Doctor's staff to resume exactly where they stopped with minimal data loss.

- **Intuitive User Interface:** Zero-training interface design enabling Doctor's staff to operate the application immediately without formal training requirements through intuitive workflows and clear visual cues.

- **Administrative Management Module:** Comprehensive admin interface for Team Leads to onboard Doctors and Doctor's staff, configure system parameters and their values, and set up regional language options for patient data input to ensure localized communication support.

- **Doctor Training & Configuration Module:** Specialized interface allowing cardiothoracic surgeons to add new questioning protocols, define critical alert patterns that trigger senior consultation suggestions, and establish default AI agent protocol sequences based on clinical expertise and department-specific requirements.

**Primary Features:**
- Concurrent multi-user support (1-5 Doctor's staff)
- Audit logging and session tracking
- Quick patient summary generation
- Minimum patient details (name, age, gender) collected to identify the patient, with no integration with any hospital system
- Multi-network connectivity support (mobile data, hotspot, wifi)
- Multi-source audio input (built-in mic, bluetooth, wired connections)
- English text transcription only (audio input transcribed but not auto-processed)

**Secondary Features:**
- Multi-Language Audio Support: Text-to-speech and speech-to-text capabilities with regional language support for improved patient communication and data accuracy
- Doctor-customizable AI training for specialty-specific questioning protocols

## 5. Business Goals / Success Metrics

- **Accurate Summary:** The system accurately captures a patient case summary based on the various inputs and interactions from patients, doctors, and Doctor's staff across one or more sessions.
- **Intake Standardization:** All questions, as defined by the protocol, are consistently asked and the answers are captured.
- **Senior Consultation Alerts:** Identify concerning symptom patterns and suggest Doctor's staff to consult senior/superior staff for proper evaluation within 30 seconds (no emergency classification provided).

**Key Performance Indicators:**
- Accurate summary generated in less than 30 seconds once the session is completed
- Speech-to-text and text-to-speech transcription in near-real time, with less than 5 seconds delay
- System uptime and connectivity reliability metrics

## 6. Scope & Boundaries

**In Scope:**
- Cardio Thoracic Surgery department MVP deployment at single hospital facility
- AI-guided patient intake workflow with handheld device support
- Minimum patient identification (name, age, gender) with no integration with hospital patient systems
- Doctor intelligence interface for patient interaction summaries and follow-up queries
- Audio transcription to English text capabilities
- Multi-network connectivity support (mobile data, hotspot, wifi)
- Session resumption after device/network interruptions
- Audit logging and session tracking
- Daily reporting capabilities for patient encounters
- Real-time senior consultation alerting (non-diagnostic, non-emergency classification)

**Out of Scope:**
- Medical diagnosis recommendations or treatment suggestions
- Permanent patient data storage on system servers
- Integration with hospital EMR/EHR systems
- Offline functionality or poor connectivity operation
- Diagnostic test ordering or specialist referral recommendations
- Multi-hospital or healthcare network deployment
- Specialties other than Cardio Thoracic Surgery (initial phase)
- Prescription writing or medication management
- Insurance processing or billing integration

**Major Goals:**
- **MVP:** Accurate summary is generated, for each patient, based on the interactions with Doctor's staff and doctors across one or more sessions.
- **Long-term:** Adaptable framework for other surgical specialties based on Cardio Thoracic Surgery success.

## 7. Timeline / Milestones

- **Milestone 1 (1-2 months):** Core AI-guided intake system development, Cardio Thoracic Surgery question protocol implementation with handheld device interface, and accuracy validation of patient case summaries.
- **Milestone 2 (2-3 months):** Senior consultation alerting integration, multi-language audio support, and doctor training module interface implementation.
- **Milestone 3 (3-4 months):** Admin interface for onboarding and offboarding users, and system configuration for the Cardio Thoracic Surgery department.
- **Milestone 4 (4-6 months):** Performance optimization and readiness assessment for expansion to other surgical specialities.

**Reasoning behind milestones:**
Each milestone builds foundational capabilities before adding complexity, ensuring Doctor's staff can adopt the system progressively while maintaining patient care quality. The 4-6 month timeline allows for thorough testing and validation of AI accuracy specific to Cardio Thoracic Surgery protocols.

**Boundaries and Constraints:**
- Network connectivity dependency limits deployment locations
- Healthcare compliance requirements may extend development timelines
- Medical staff training schedules must align with hospital operations
- AI training data availability specific to Cardio Thoracic Surgery may impact system accuracy

**Realistic Timeframe Considerations:**
- Resource availability: Development team capacity and hospital IT support coordination
- Potential bottlenecks: Healthcare regulation approval processes and Doctor's staff scheduling for training
- Key dependencies: Hospital IT infrastructure readiness and Cardio Thoracic Surgery department workflow integration
- Risk factors: Patient data security requirements and AI model validation for medical applications

**Strategic Dependencies:**
- Hospital leadership commitment to workflow changes
- Cardio Thoracic Surgery department champion identification for change management
- IT infrastructure assessment and connectivity reliability
- Medical staff availability for training and feedback sessions

## 8. Strategic Differentiators

- **Cardio Thoracic Surgery-Specific AI Intelligence:** Purpose-built questioning protocols and pattern recognition optimized for cardiothoracic conditions, unlike generic medical AI systems that lack specialty depth and clinical workflow integration.

- **Senior Consultation Alerting Without Diagnosis:** Unique approach that enhances safety by suggesting senior staff consultation based on concerning patterns while maintaining clinical decision-making authority with qualified medical professionals, avoiding regulatory complexities of diagnostic or emergency classification AI.

- **Doctor-Trainable AI Protocols:** Empowers cardiothoracic surgeons to customize AI questioning based on their clinical experience and emerging symptom patterns, creating a learning system that evolves with medical expertise rather than replacing it.

- **Systematic Data Collection:** Designed to ensure comprehensive patient data collection through structured intake processes, guaranteeing that every required question is asked and every response is captured — regardless of the complexity or length of the interaction.

**Why It Matters:**
- **Clinical Excellence:** Maintains human expertise while ensuring complete, accurate patient case documentation
- **Operational Efficiency:** Addresses specific Cardio Thoracic Surgery department pain points
- **Scalable Framework:** Success in Cardio Thoracic Surgery creates a replicable model for other surgical specialties
- **Safety Enhancement:** Proactive senior consultation suggestions improve patient outcomes

**How It Works:**
- AI learns from Cardio Thoracic Surgery-specific case patterns and doctor feedback
- Structured intake protocols ensure consistent data quality
- Real-time analysis identifies concerning patterns and suggests senior consultation without overstepping clinical boundaries
- Seamless integration with existing hospital workflows minimises adoption friction