FusionTech Unveils Fusion AI Assistant Large Model: Reshaping Diverse Healthcare Applications with Generative AI

Since 2024, the healthcare large language model (LLM) industry has witnessed vigorous and accelerated growth. According to incomplete statistics, over 100 healthcare-specific LLMs have been released. As a key application in the medical and health sector, healthcare LLMs are gradually demonstrating their potential and value.

FusionTech’s Fusion Medical Assistant Large Language Model has implemented application scenarios such as AI-powered pre-consultation, intelligent self-diagnosis, clinical decision support, automated generation of medical records, semantic quality control of electronic medical records, and treatment plan formulation. It comprehensively covers the pre-, intra-, and post-consultation workflows, establishing an efficient closed-loop system that provides robust intelligent support for physicians, significantly enhances diagnostic and treatment efficiency, and delivers a more convenient and precise healthcare experience for patients.

November 15 (Friday) 19:30 VCBeat New Product Review Issue 113, featuringWu Di, CEO of Fuxin Sci-Tech Innovation, and R&D Director of Fuxin Sci-Tech InnovationZhang Yulong, R&D Director of Fuxin Sci-Tech InnovationLi JieThree guests presented an introduction to the Fusion Medical Assistant Large Language Model.

1. Robust knowledge system and clinical data in the healthcare industry

Massive medical knowledge and clinical data, high-quality data manually annotated by professionals with medical expertise, and a comprehensive, high-quality knowledge base covering all medical specialties.

2. Integration of Extensive Medical Knowledge Graphs

It contains over 200,000 medical entities and entity relationships, as well as more than 160,000 drug package inserts and clinical guidelines, to enhance the model's capabilities.

3. Powerful Data Flywheel Model

Reinforcement Learning from Physician Feedback: Integrating Physicians’ Feedback on Model Outputs into the Model to Develop Transferable and Replicable Medical Capabilities.

4. Powerful Engineering Tools

Including seamless integration with other business systems, data collection and governance, vector data management and annotation, and support for dynamic switching of underlying foundation models.

5. Flexible Delivery Models

Supports both SaaS delivery and on-premises private deployment at hospitals, enabling low-cost implementation while ensuring medical data security, stability, reliability, and rapid response.

The application scenarios of large medical model products mainly includeAI Triage, AI Pre-consultation, Generative Electronic Medical Records for Outpatient Care, Generative Electronic Medical Records for Inpatient Care, AI-based Content Quality Control of Medical Records, AI-assisted Intelligent Diagnosis and Treatment, AI-based Early Warning for Intelligent Diagnosis and Treatment, AI Medical Assistantetc.

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Wu  Di

Fuxin Sci-Tech Innovation |CEO

● A leader in cloud-native developer tools, with expertise in the research and development and application of generative AI scenarios;

● Former Director of Strategic Planning at Dell Inc. (Austin, USA), responsible for corporate business strategy and cloud business strategy; Senior Director of Strategic Planning at Huawei Technologies Co., Ltd., responsible for Huawei’s cloud computing business and IoT/Internet of Things strategy;

● Returned to China in 2016 to found Shenzhen CloudWalk Innovation, a company specializing in cloud-native developer tools; the company was partially acquired by Alibaba Cloud in 2020;

●Founded Fuxin Kechuang in 2020 to develop China’s first low-code development platform for medical AI;

●In 2023, the Fusion medical assistant large language model was developed, pioneering the creation of hundreds of application scenarios for medical large language models.

Zhang Yulong

Fuxin Sci-Tech | R&D Director

● Spearheaded the healthcare reforms in Sanming and Shenzhen;

● Designed and built China's first integrated DRG-based payment and charging reform platform; specialized in lean management of medical insurance and refined hospital operations;

● Formerly served as a Senior Business Architect for the National Big Data Team, contributing to the construction of the national data security system architecture; invited lecturer at multiple medical think tanks;

● Specializes in integrating large language models (LLMs) with health insurance payment (regulation) and medical record management, developing a series of innovative solutions that have significantly enhanced the operational efficiency and service quality of healthcare institutions. Has led multiple high-impact projects, delivering substantial return on investment and driving innovation and development within the healthcare industry.

Li Jie

FUSIONTECH | R&D Director

● Former Alibaba P7 Senior Engineer;

● Extensive experience in Java architecture and management; led the development of business middle-end systems and low-code platforms; managed the full architectural lifecycle from inception to one million daily active users; contributed to the architecture and optimization of systems serving hundreds of millions of users and processing tens of billions of orders at JD.com and Alibaba.

● Extensively involved in big data processing and user behavior analysis, with a focus on large language models (LLMs) and their practical applications. Skilled at integrating AI models with business scenarios to enhance development efficiency and bolster system intelligence.

FUSIONTECH is a high-tech enterprise dedicated to providing comprehensive informatics solutions for the healthcare sector. It has established a hospital-wide integrated informatics solution centered on the Fusion Medical Assistant Large Model, the Ziwei Customization Platform, the Information Integration Platform, DRG/DIP, and intelligent health insurance audit systems.

Leveraging its leading R&D capabilities, exceptional service delivery, and a comprehensive healthcare software ecosystem, the company has become a trusted partner to hundreds of large and medium-sized medical institutions and health commissions, earning widespread acclaim. In 2021, it secured RMB 50 million in angel financing from top-tier venture capital firms, marking the largest single angel investment in the healthcare informatization industry.

Looking ahead, we anticipate that more healthcare institutions and medical informatics service providers will join hands with Fuxin Kechuang to empower the refined development of hospitals through digital and intelligent solutions, thereby contributing to their high-quality growth.

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