Home HEYIYUAN Files for Hong Kong IPO: Pioneering AI-Powered Precision Medical Search System Founded by PUMC Doctor

HEYIYUAN Files for Hong Kong IPO: Pioneering AI-Powered Precision Medical Search System Founded by PUMC Doctor

Jan 12, 2024 07:59 CST Updated 08:00

As shown in the Global DataSphere 2023 released by International Data Corporation (IDC),China’s data volume is projected to grow from 23.88 ZB in 2022 to 76.6 ZB in 2027, representing a compound annual growth rate (CAGR) of approximately 26.3%, ranking first globally, with the healthcare sector being one of the primary domains for data generation.

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Global Data Chart (2022–2027)

Source: IDC, Global DataSphere 2023

 

With the explosive growth of information, it has become increasingly difficult for users to find scientifically validated medical information online, sometimes even leading them astray. Furthermore, due to population aging, the rising prevalence of chronic diseases among residents, and emerging issues such as unequal distribution and disordered allocation of medical resources, rapid access to professional and precise medical information has become increasingly vital for our health and well-being.

 

To address the aforementioned challenges, Song Fenghui, who holds a Doctor of Medicine (M.D.) degree from Peking Union Medical College and possesses over ten years of experience in the healthcare industry, founded Hangzhou Heyi Information Technology Co., Ltd. (brand name: Heyiyuan) in 2017. The company is dedicated to the research and development of precision medicine products, primarily focusing on the development and operation of precision medicine information search engines, intelligent medical robots, medical Artificial Intelligence Generated Content (AIGC), and multi-expert medical consultation services based on the latest evidence-based medicine.

 

Pioneered the hemedAI medical information algorithm system and established a professional knowledge base grounded in evidence-based medicine.

 

“Undeniably, the ‘Internet + Healthcare’ model has broken down information silos. However, due to the dissemination characteristics of the internet, inaccurate or irresponsible medical information can spread rapidly online, misleading patients in their diagnosis and treatment and causing harm. To address this, only by adhering to the core essence of internet-based healthcare—namely, the principles and laws of medical practice—and by solidifying this medical ‘core’ before fully leveraging the internet for dissemination, can we truly benefit patients,” stated Song Fenghui.

 

Building on this foundational vision and theoretical framework, Song Fenghui and his team collaboratively developed the “Heyiyuan” Intelligent Precision Medical Information Search System. This system empowers users to efficiently access more professional, high-quality, and precise medical information and resources via the internet, focusing on both “precision” and “depth.”

 

Low-quality, redundant, and fragmented information is the norm in the era of big data. So how does “Heyiyuan” help users accurately access correct and professional medical information amidst this complex information landscape?

 

First, as a medical information search system, the quality of its algorithms determines its capability and efficiency in problem-solving.“Heyiyuan” Intelligent Precision Medical Information Search System adopts the proprietary, internationally leading HEMED medical information search algorithm framework. It restructures massive datasets and innovatively integrates over ten technologies—including medical logic combined with NLP and decision tree algorithms, as well as visual presentation—to provide users with precise and professional medical information search services.

 

Secondly, the second advantage of the "Heyiyuan" intelligent search system lies in its reliable information sources and authority. A recent study from Long Island University in December 2023 showed that ChatGPT may not be suitable for obtaining medical information. In addition to providing incomplete and inaccurate answers, ChatGPT even fabricates references, which is highly inappropriate.

 

As an intelligent and precise search system for medical information, “HeYiYuan” aggregates reliable data sources from professional and credible websites, the latest clinical guidelines, and up-to-date medical textbooks. It rigorously screens, cleanses, and audits these data resources, enhancing their granularity and quality through restructuring. By consolidating high-quality medical data, it ultimately establishes a high-quality big data repository for rapid retrieval.

 

Next, “HeYiYuan” leverages its proprietary NLP algorithms, which are aligned with medical logic, to decipher the underlying intent behind user queries. This ensures that search results accurately address users’ true needs. Furthermore, the search results are ranked through a multi-tiered sorting system based on medical logic. Whether it pertains to disease diagnosis, treatment plans, or preventive measures, “HeYiYuan” delivers scientific, reliable, and structured answers.

 

Transform the “annual update” knowledge base into one with “segmented, daily, and weekly updates” to precisely deliver the latest medical information.

 

In the medical field, with rapid technological advancements and continuous breakthroughs, updates to the underlying knowledge base of search systems could have a revolutionary impact on disease treatment.

 

In November 2023, OpenAI finally updated the knowledge base of its ChatGPT model to April 2023, amid long-standing user demand. Prior to this update, users could only access information from before 2021 on the platform. However, even the latest GPT-4 Turbo model’s knowledge base lags behind real-time internet information by more than eight months. With the next update schedule yet to be determined, this information gap continues to widen.

 

Compared with existing products such as search platforms, databases, and large language models, which suffer from issues including mixed data quality, imprecise search results, non-standardized structures, insufficient depth and systematicity of information, lack of objectivity or unclear expression, and delayed updates.“Heyiyuan” classifies the update frequency of its knowledge base according to different information categories.

 

“HeYiYuan”’s web crawlers can capture critical, specialized medical information in real time and complete data updates within 1–15 minutes; for information such as diagnosis and treatment guidelines and standards from professional medical associations both domestically and internationally, updates are completed within 1–7 days. Meanwhile, to ensure the seriousness and professionalism of the information, data must be reviewed by medical experts before the final update is completed.

 

Song Fenghui stated: "Currently, the update frequency of databases for most medical information search platforms on the market is typically measured in years or even multiple years, leading to a mismatch between the medical information provided and clinical needs."

 

Furthermore, “Heyiyuan” Precision Search can also empower numerous large language model platforms, medical institutions, as well as its own multi-expert medical consultation services and internet hospital operations, enabling more people to benefit from precise, efficient, and professional medical information services and diagnostic and treatment decision-support services.

 

Three Founders with PhDs and Master’s Degrees Drive Growth in the Medical AI + Big Data Sector, Securing Over 300 Healthcare-Side Clients


“The HeYiYuan” founding team consists of outstanding talents from the fields of operations management, medicine, and algorithms.Founder: Song FenghuiGraduated from Peking Union Medical College, Tsinghua University, with a Doctor of Medicine (M.D.) degree. With over ten years of experience in the healthcare and internet operations sectors, Song Fenghui possesses deep insights into medical information logic and search mechanisms. As the project lead for "Heyiyuan," he is responsible for the overall implementation and advancement of the project.

 

Algorithm Expert, Yetian ChenHolding a B.S. in Biological Sciences from Peking University, an M.S. in Bioinformatics from the University of North Carolina, and a Ph.D. in Computer Science from Iowa State University, he previously worked at several well-known internet companies in the United States. He is proficient in various distributed and parallel computing algorithms, big data processing technologies, and probabilistic models along with their applications in information retrieval. He is primarily responsible for providing the algorithms involved in the “He Yi Yuan” intelligent medical information system.

 

Dai YangdanGraduated from the West China Medical Center of Sichuan University (formerly West China University of Medical Sciences) with a Master’s degree in Medicine. Professional experience spans multiple areas of the pharmaceutical and healthcare industries, including roles as an internal medicine physician, instructor in diagnostics, technical appraiser for medical malpractice incidents, mediator in medical disputes, and reviewer for medical databases. Currently primarily responsible for content development, data integration, analysis, and processing for the “Heyiyuan” medical information database.

 

According to reports, the “HemedSource” team has obtained and applied for 11 intellectual property rights. Some of its products have been adopted by numerous tertiary and secondary hospitals, as well as over 300 primary care hospitals and clinics, earning a strong reputation. Furthermore, leveraging the hemedAI medical information algorithm system, “HemedSource” has conducted hundreds of multi-specialist medical consultations based on the latest evidence-based medicine.

 

In terms of external collaboration,“Heyiyuan” operates through a joint venture subsidiary established with a company under the Poly Group, and collaborates with PICC, Medlinker, and the Zhongguancun Precision Medicine Foundation to promote the online and offline sales of “Heyiyuan” across China.

 

At the conclusion of the interview, Song Fenghui stated, “Currently, numerous ‘therapies’ that have not been rigorously validated through clinical studies for sufficient efficacy and safety are still widely prevalent both online and offline. To better address the pressing challenges of mixed medical information and the difficulties patients face in making treatment decisions across digital and traditional channels, ‘He Yi Yuan’ is currently pursuing further financing. By leveraging capital strength, we aim to deepen and solidify our product development, intensify brand building and marketing efforts, and provide healthcare institutions and patients with more precise and efficient solutions through high-quality, professional AI-driven medical big data products and services, thereby bringing unprecedented transformation to the healthcare industry.”