Overview
The AI-based web and mobile app revolutionising the way patients connect with doctors by integrating artificial intelligence (AI) technology into video consultations. The app allows patients to schedule calls with doctors, and during the video call, an AI system works alongside the doctor, listening to the conversation and providing recommended treatment based on the call analysis.
Design Process
Empathise
Define
Ideate
Prototype
Key Features
Appointment Scheduling
Patients can conveniently schedule video consultations with doctors based on their availability and preferred time slots. The app ensures a seamless and efficient appointment booking process.
Secure Video Call
The app facilitates secure and reliable video calls between patients and doctors. It provides a user-friendly interface for real-time communication, ensuring high-quality audio and video connections.
AI-Assisted Call Analysis
During the video call, an AI system intelligently listens to the conversation between the patient and doctor. It captures relevant information, including symptoms, medical history, and concerns, and analyzes it to generate recommended treatment options.
Treatment Plan Communication
The doctor discusses the recommended treatment options with the patient, explaining the rationale, potential benefits, and risks. They engage in a comprehensive conversation to ensure the patient understands and feels confident about the proposed treatment plan.
Follow-up and Monitoring
The app supports follow-up appointments and monitoring of the patient's progress. It allows doctors to track the effectiveness of the recommended treatment, make adjustments if needed, and ensure continuous care.
Patient Education and Resources
The app provides educational materials, resources, and links to reputable sources to empower patients with knowledge about their condition and treatment options. It offers self-care guidelines and preventive measures for better health management.
AI Based Prescription
The AI system employs advanced algorithms to process the call data and generate personalised treatment recommendations. It takes into account the patient's specific condition, medical history, and the doctor's expertise to provide accurate and evidence-based suggestions.
Data Privacy and Security
The app ensures the confidentiality and security of patient data, adhering to privacy regulations and using robust encryption methods. It maintains high standards of data protection to foster trust and confidence among users.
Define Phase
User Persona 1
Empathy Map
Introduction π¨
As the General Manager (GM) of a health care application, one assumes a pivotal role in its overall management and success. Responsible for strategic planning, operations, and development, the GM oversees all aspects of the application's lifecycle. They collaborate with cross-functional teams, including developers, healthcare professionals, and stakeholders, to ensure the application meets regulatory requirements, delivers optimal user experience, and aligns with industry standards. The GM's leadership and expertise drive innovation, facilitate partnerships, and promote the application's impact on improving healthcare delivery, patient outcomes, and the overall quality of care.
Challenges π
- Managing a large patient load and scheduling appointments efficiently.
- Balancing the need for personalized care with time constraints.
- Staying organized and accessing patient information quickly during consultations.
Goals π
- Provide high-quality healthcare to patients.
- Stay updated with the latest medical advancements.
- Enhance patient experience and satisfaction.
User Persona 1
Empathy Map
Introduction π¨
As the General Manager (GM) of a health care application, one assumes a pivotal role in its overall management and success. Responsible for strategic planning, operations, and development, the GM oversees all aspects of the application's lifecycle. They collaborate with cross-functional teams, including developers, healthcare professionals, and stakeholders, to ensure the application meets regulatory requirements, delivers optimal user experience, and aligns with industry standards. The GM's leadership and expertise drive innovation, facilitate partnerships, and promote the application's impact on improving healthcare delivery, patient outcomes, and the overall quality of care.
Challenges π
- Managing a large patient load and scheduling appointments efficiently.
- Balancing the need for personalized care with time constraints.
- Staying organized and accessing patient information quickly during consultations.
Goals π
- Provide high-quality healthcare to patients.
- Stay updated with the latest medical advancements.
- Enhance patient experience and satisfaction.
Define System
Screen
AI-Based Patient Appointment
Artificial intelligence is used in healthcare AI-based tele calling to automate patient communication, appointment reminders, and health education. It makes healthcare more accessible, increases patient participation, and simplifies healthcare services, resulting in more efficient and effective care delivery.
AI-Based Patient Appointment
Artificial intelligence is used in healthcare AI-based tele calling to automate patient communication, appointment reminders, and health education. It makes healthcare more accessible, increases patient participation, and simplifies healthcare services, resulting in more efficient and effective care delivery.
AI-Based Patient Appointment
Artificial intelligence is used in healthcare AI-based tele calling to automate patient communication, appointment reminders, and health education. It makes healthcare more accessible, increases patient participation, and simplifies healthcare services, resulting in more efficient and effective care delivery.