Konfuzi Announces Strategic Collaboration with Inspur and National Health Medical Big Data Consortium to Accelerate AI Healthcare Product Deployment

Recently, VCBeat learned that Kangfuzi Technology Co., Ltd. (hereinafter referred to as “Kangfuzi”) has entered into a strategic partnership with Inspur Group Co., Ltd. (hereinafter referred to as “Inspur”) and Shandong Health and Medical Big Data Co., Ltd. This collaboration will leverage the data resources of Shandong Health and Medical Big Data Co., Ltd., Inspur’s advantages as the platform service operator for the “Inspur Health and Medical Big Data Cloud Platform” across China, and Kangfuzi’s expertise in medical data governance, robotic doctor applications, and AI technologies, to jointly advance the implementation of Healthy China and smart healthcare initiatives.

Zhang Chao, founder of Kangfuzi, stated that Kangfuzi is an industry-leading medical artificial intelligence company. Its core team hails from Baidu’s Natural Language Processing Department and possesses extensive R&D experience in fields such as information extraction, knowledge graphs, and semantic dialogue understanding.Dr. Kang aims to leverage artificial intelligence technology to develop robotic doctors, thereby increasing the supply of medical resources for the healthcare industry.

As digital healthcare and medical artificial intelligence continue to advance, there is a growing recognition of the critical role that medical data plays in driving innovation within the healthcare industry. Health and medical big data has become an important foundational strategic resource for the nation. To this end, in June 2016, the National Health and Family Planning Commission issued the “Guiding Opinions of the General Office of the State Council on Promoting and Standardizing the Application and Development of Health and Medical Big Data,” setting the tone for the development of health and medical big data. Subsequently, the National Health and Family Planning Commission established three major health and medical big data groups to promote the standardization and development of medical big data.

Despite concerted efforts from all parties to gradually standardize the domestic medical big data industry and continuously enhance the service capabilities of healthcare institutions, two issues remain particularly prominent:

First,Data silos remain a persistent issue, with data across different organizations still not interconnected.. In response to this issue, Inspur is striving to find solutions driven by policy initiatives. Addressing the problem of data silos requires specialized post-structured data governance technology support tailored to specific disease categories. Due to variations in data coding and documentation practices across hospitals, as well as differences in physicians' work habits and professional standards, unifying these non-structured and non-standardized data necessitates collaborative efforts between expert teams and experienced companies.

Zhang Chao stated that, at the level of data governance, Kangfuzi has partnered with eight major domestic medical informatics companies, such as Neusoft and Donghua Medical. Its electronic medical record (EMR) structuring module has been deployed across more than 20 top-tier tertiary hospitals in China, with hospital-wide implementation. It has demonstrated excellent performance across a range of conditions, from common diseases to oncology. Therefore, Kangfuzi can provide strong support to Inspur in the area of data governance.

Second, although medical innovations and reforms such as internet healthcare, tiered diagnosis and treatment, and telemedicine have been continuously advanced, playing a significant role in promoting the development of the healthcare industry, we must also clearly recognize that the public’s healthcare needs have not been fully met, and the difficulty in accessing medical care remains., therefore, expanding healthcare supply and medical services remains an issue to be addressed.

Medical robots and AI-assisted clinical decision support systems, serving as physicians’ assistants, can help improve the efficiency and accuracy of clinical consultations. Kangfuzi aims to leverage Inspur’s platform advantages to accelerate the deployment of its medical robots, strive to address healthcare supply challenges across medical institutions at all levels, and serve more patients and physicians.

Zhang Chao told VCBeat that the specific details of this collaboration mainly cover four aspects,Regarding the data governance mentioned above,Kangfuzi will clean and structure the medical data operated by Inspur, and build an intelligent retrieval and analysis system.

InApplication Level of Medical Big DataIn addition to its application in AI-assisted medical diagnosis, big data in healthcare can also be utilized for insurance cost control, disease early warning, and regional disease profiling. Zhang Chao stated that insurance companies have a strong demand for insurance cost control measures; they hope to leverage an insurance cost-control model based on healthcare big data to facilitate precise underwriting.

In areas of collaboration in smart healthcare, such as clinical decision support systems, for hospitals within the coverage area, both parties will jointly pilot smart healthcare projects, such as smart outpatient services and clinical decision support systems.

Zhang Chao stated that Kangfuzi has currently partnered with most of the well-known medical informatics companies in China, integrating its clinical decision support system (CDSS) into hospital information systems. This collaboration with Inspur will leverage Inspur’s health and medical big data cloud service model, enabling more hospitals to access Kangfuzi’s clinical decision support system.

This collaboration, in addition to serving healthcare institutions,Kangfuzi also hopes to accelerate the deployment of its robotic family doctors.. Currently, Kangfuzi Family Doctor has been piloted in Zhangjiagang. Through this collaboration, Kangfuzi can leverage the Inspur Health Medical Big Data Platform to provide smart healthcare convenience services to the public, while replicating Zhangjiagang’s experience and model in more cities.

Inspur is a leading domestic provider of big data and cloud computing, as well as an advanced information technology product and solution service provider. Inspur servers have ranked first in market share among Chinese server brands for seventeen consecutive years. On April 27, 2018, the National Health Commission, the People’s Government of Shandong Province, the People’s Government of Jinan City, and Inspur Group, along with other third-party initiators, jointly signed a cooperation agreement to primarily undertake the pilot project of the National Health and Medical Big Data Northern Center and related industrial development initiatives.

Inspur’s decision to partner with Kangfuzi is primarily driven by the latter’s three key advantages:

First,Kangfuzi’s Product Efficacy and Technological Leadership Recognized by Partners. According to Zhang Chao, nearly all of the top ten healthcare IT vendors in China are currently clients of Kangfuzi, and they highly recognize the effectiveness of Kangfuzi’s products.

Taking the structured electronic medical record (EMR) product as an example, it has been deployed by Hospital Information System (HIS) vendors to serve dozens of top-tier tertiary hospitals. This product is versatile enough to support all clinical departments within general hospitals as well as specialized hospitals.

Second,Kangfuzi is the only company in the industry that can simultaneously provide: medical data analysis and processing, clinical decision support systems, and medical conversational AI services.. Healthcare is a long-chain industry, where different products mutually reinforce one another, providing significant momentum to overall collaborative outcomes. As an “all-around” partner, it reduces communication costs in collaborations and accelerates the implementation of cooperative products. Zhang Chao stated that some products developed through their collaboration could be launched in as little as 1–2 months.

Third,In terms of its collaboration model, Kangfuzi has a clear understanding of its positioning. It aims to empower partners through AI technology rather than compete with them for projects, thereby realizing its own commercial value through win-win cooperation.。

Following this collaboration, Kangfuzi will be able to more rapidly deploy and iterate its existing products based on the Inspur Health Medical Big Data Platform, thereby achieving greater scalability and enhanced product efficacy. Additionally, its brand profile will see a significant boost. In the coming period, Kangfuzi will continue to empower healthcare informatization, helping to increase the supply of medical services and accelerate the development of Healthy China.