Hayson Health: Dive into the underlying core technology to define the high value of medical AI big data.

Guide: Medical AI big data industry ushered in the opportunity for development, timely grasp means leading! The development of the medical AI big data industry has been a great step forward in recent years. in terms of
technology, data bursts, algorithm upgrades, and computing power upgrades continue to ignite momentum in the development of the industry, and at the policy level, the "new infrastructure" policy first proposed by the state as early as 2018, as well as the "Opinion on building an institutional mechanism for a more complete market-oriented configuration of elements" put forward in April this year, have directly "names" strengthened the construction of emerging technologies such as big data and artificial intelligence, and the combination of medical care and AI and big data has become one of the hottest tracks in the capital markets.
by 2020, the market has given companies enough time to grow;
bring its own "medical gene", occupy the "home field advantage" as one of the first batch of domestic medical AI big data enterprises, occupy the data resources "home field advantage" of Hessen health has been very concerned by the industry.
Hessen Health is a member of Jiahe Meikang Group, formerly known as the Medical Big Data Division of Beijing Jiahe Meikang Information Technology Co., Ltd. (herelow Jiahe Meikang).
2019, Hessen Health, which had been nurturing for three years, was established and quickly completed a 200 million yuan round of A financing by the end of the same year.
well known, Jiahe Meikang is the country's largest supplier of electronic medical records system.
2020 IDC China data show that Jiahe Meikang's electronic medical records market share for the sixth consecutive year the first in the country, product coverage of more than 1300 hospitals in China.
Hessen Health inherited Jia and Meikang's unique data advantages, technical accumulation, as well as mature and stable practical experience, can be said to bring their own "medical gene", is a veritable "golden spoon" birth.
At the beginning of its creation, Heisman Health has made clear its goal: not to do exploratory applications, to create high-value medical AI big data applications as the goal, with domestic comprehensive or specialized strength of the top, medical information level in the forefront of the head medical institutions to carry out in-depth cooperation, play their own industry advantages and technical strengths, combined with the advantages of top medical institutions partners, in turn polished out the coverage of medical, teaching, research in many areas, with independent intellectual property rights of the full ecological medical AI large data applications.
So far, Haisen Health has been highly recognized by a large number of top hospital customers, cooperative customers covering dozens of provinces, more than 100 triple-A hospitals, Fudan University Hospital ranking TOP100 market share of more than 20%, including Beijing Concord Hospital, PLA General Hospital, Xijing Hospital, Peking University Third Hospital, Zhejiang University Medical College affiliated with the first hospital in the field of general or specialized areas have an absolute advantage of the top medical institutions.
Insocience of the underlying core technology, innovation and research and development of the three core achievements in recent years, a large number of enterprises into the medical AI big data track, with fire industry at the same time, but also let the industry into a blind pursuit of the concept of the embarrassing dilemma, few enterprises calm down to build the bottom technology.
In fact, the transition relies on raw medical record data, subject to unstructured data, resulting in low search and retrieval engine, search grain through the rough problem, is the market medical AI big data manufacturers face a common problem.
" the core technology determines the value of the application products, medical AI products to obtain a substantial breakthrough, solid bottom technology is to break the industry dilemma is the only way.
," Hayson Health said.
based on this sobering cognition, Hayson Health not only did not cling to the impetuous market environment, but also "stuck" into the field of medical AI big data, rarely seen in the outside world.
4 years of grinding period, Heissen Health with independent research and development of intelligent medical decision-making engine, real-time clinical big data search engine and AI-based medical big data governance platform three research results came to the fore.
In view of the special attributes of medical care, Heisson Health innovatively proposes intelligent decision-making model based on deep learning, and the "twin-engine" intelligent medical decision-making structure based on the rules of expert experience, which can not only rely on the information of deep learning model and authoritative knowledge base, but also iterate on models and rules according to medical big data in a timely manner, which fundamentally guarantees the continuous evolution of medical AI decision-making power.
Differs from keyword underlying logic widely used in the industry, Hayson Health has pioneered the creation of a real-time clinical big data search engine based on its deep understanding of the medical industry, a structured all-electronic medical record data model based on natural language processing technology, and a term normalization technology based on knowledge maps.
The engine not only enables efficient storage of ultra-fine-grained underlying diagnostic data, but also supports tens of thousands of structured and semi-structured dimensions, maximizing the retention and restoration of real-world patient information, providing greater support for innovative medical applications."
Hessen Healthcare Big Data Governance Platform is a data governance "god."
Based on all-electronic medical records, the platform enables rapid access to any medical data, automated cleaning, processing, conversion, entity and relationship extraction, terminology normalization, patient master index, etc., to obtain the regulatory data after governance.
has obvious advantages involving less labor, high processing efficiency, high data quality and high accuracy.
With clinical and scientific research scenarios as the core, to build a full ecological medical AI product closed loop in the above three core results on the basis of Hessen health and domestic comprehensive or specialized strength of the top, medical information level in the forefront of the head medical institutions to carry out in-depth cooperation, play their own industry advantages and technical strengths, combined with the advantages of top medical institutions partners, fine polishing and low-key layout of intelligent medical data in Taiwan as the core, covering clinical decision-making, scientific research support, patient quality control, patient interaction and other different applications Closed-loop, the formation of clinically assisted decision support system (CDSS), big data scientific research and analysis platform, intelligent specialized disease library, AI follow-up system, AI medical record content quality control system, single-disease process quality management platform, VTE intelligent prevention and control system, intelligent consultation system and intelligent pre-consultation system, etc., including the whole ecological product application matrix, to achieve the "pre-diagnosis - diagnosis - post-diagnosis" full-process closed-loop application, the implementation of the "cognitive data, " the implementation of the "cognitive data" business objectives.
clinical and scientific research, is Hessen health "cognitive data, enabling medical treatment" selected two entry points.
China's medical resources are generally scarce and unevenly distributed, in clinical terms, medical AI can effectively improve the overall level and efficiency of medical treatment in China, in scientific research, can further strengthen the core competitiveness of large hospitals, enhance the overall strength of medical institutions.
combination of the two can maximize the supply side to improve the overall service level and capacity of China's medical system.
In clinical applications, Hessen Health pioneered the "twin engine" drive CDSS in China, creating a new generation of evolutionary CDSS from knowledge-assisted to decision-assisted, and realizing full-process-assisted decision support from consultation to treatment.
the application of CDSS in The Third Hospital of Peking University (hereby, the Third Hospital of Northern Medicine).
Health CDSS was launched in 2018 at the North Hospital and has been running steadily for two years. based on the nearly 10 years and more than 30 million real medical data deposited by the hospital's electronic medical records system, the
system integrates the clinical practice of BBMJBestPractice as evidence-based medical evidence, and forms a dual-engine decision-making structure of "clinical best practice" and "evidence-based medical best practice" in the hospital.
It has been calculated that CDSS, which is expected to be online in some departments of the Three Hospitals of Northern Medicine, has a high decision-making support capability, with a recommended clinical diagnosis accuracy rate of up to 91.7%, an average diagnosis time of 0.98 days and an average length of hospitalization of 2.02 days.
In terms of scientific research applications, Hessen Health has built a big data research and analysis platform driven by artificial intelligence technology and supported by real medical data inside and outside the hospital, in view of the common data problems in the course of clinical research, including the high utilization rate of data acquisition, the different decentralized structure of data storage, the lack of unified monitoring of data quality and integrity, and the complex logic of data query.
The platform can automate the integration of large amounts of medical data inside and outside the hospital, and use the corresponding algorithm model to carry out in-depth mining and multi-dimensional analysis of the data, greatly optimize the scientific research process at the same time, can effectively improve the efficiency and quality of scientific research, promote the transformation of scientific research results, support the scientific research results model based on real-world verification optimization, to achieve "clinical-scientific integration" development, thereby promoting medical institutions, scientific research capacity "double improvement."
from the full ecological medical AI product matrix to the whole process data closed-loop application, medical institutions are only one of the application scenarios.
's healthy gaze is not limited to that.
with the help of medical AI and big data technology, Hayson Health has been actively trying and exploring in the fields of health insurance management, drug research and development, commercial insurance forecasting, public health decision-making, and so on.
Hessen Health says that by devoting to the core technology at the bottom and defining the high value of medical AI big data, Hayson Health aims to bring more value to society by providing people with tangible help that is available.
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