Designed by Clinicians, for Clinicians

healBot is a cutting-edge generative AI framework designed to empower clinicians, while enabling them to remain in control of their patient’s healing journey. healBot helps clinicians meet the demands of modern healthcare, delivering personalized and standardized wound care across clinical, research, and educational settings.

Revolutionize Wound Care with healBot

Gain real-time access to medical guidelines and evidence-based practices, controlled by your organization and accessible directly within your clinical workflow.

Key Features

Real-time conversational assistant
Customized document library
Personalized document integration

healBot empowers patients and caregivers with real-time communication and guidance for confident wound care management.

Key Features

Rapid Information Retrieval
Document Integration
Conversational Assistance

Integrate healBot to elevate precision, optimize reimbursement through meticulous coding, and ensure compliance.

Key Features

Simplified Reimbursement
Coverage Alignment
Alerts for Non Healing Wounds.

Powered by healBot and Nancy Morgan Wound Care, Wound Coach enhances wound care education by bridging knowledge gaps & deepening understanding of wound management practices.

Key Features

Rapid Information Retrieval
Document Integration
Conversational Assistance

Learn More

Enhance clinical decision making

Real-time, data-driven recommendations that adhere to local treatment guidelines.
Access to the latest protocols and support for home-based wound care.
Streamlined treatment processes, reducing variability among practitioners.

Experience the future of clinical research

Al-driven guide that swiftly retrieves protocol information with a simple question.
Reduces time on document searches and maintains strict protocol adherence.
Allows clinicians to focus more on breakthroughs and less on paperwork.

Leverage a powerful, reliable, secure AI solution

Designed with a secure and reliable infrastructure, ensuring seamless performance and data integrity.
Cloud deployment with stringent security measures, prioritizing user privacy and confidentiality.
Integrated feedback mechanisms for continuous improvement and user engagement.

How It Works

healBot distinguishes itself from mainstream Large Language Models (LLM) by leveraging their reasoning capabilities while integrating Retrieval Augmented Generation (RAG) technology and eKare’s Proprietary Multi-Agent LLM Orchestration Schema. This approach significantly reduces the risk of “hallucinations” and provides task-specific tailored responses, enhancing trust and accuracy in user interactions.

CEO Spotlight

eKare CEO, Patrick Cheng, sits down with Dr. Paul Kim at SAWC Spring 2024 to discuss challenges and opportunities for Generative AI in the healthcare industry.