Since 2023, the rapid development of big data, AI, and Internet of Things technologies has brought new development opportunities to the medical and health industry. Through the organic combination of digital technology, making medical services more intelligent and efficient has become the goal pursued by many cutting-edge enterprises. On December 27, 2023, Chen Yuqing, Vice President of Shanghai MicroPort Medical Devices (Group) Digital Competence Center, Feng Donglei, General Manager of Shanghai Xinyi Technology, and Wang Fei, COO of Mingdu Zhiyun (Zhejiang) Technology, were invited to be guests on the 10th episode of the "Pusoft Industry Channel".
In this episode, the guests exchanged views on the theme of "Building a Double Helix of Digital Technology and Medical Health", and shared the successful experience in the process of digital upgrading of enterprises, which was hosted by Zhang Yuming, vice president and secretary general of the Medical Engineering Professional Committee of the China Quality Inspection Association.
The report of the 20th National Congress of the Communist Party of China emphasized accelerating the development of the digital economy, promoting the deep integration of the digital economy and the real economy, and building a digital industrial cluster with international competitiveness. At present, digital technology has penetrated into all segments of healthcare and has become an irreversible trend in the whole industry, bringing more opportunities and challenges. In the future, the medical industry will continue to devote itself to the development and application of digital medical technology to provide patients with more convenient, efficient and personalized medical services.
Digital transformation of chain owners
Chen Yuqing shared the practical experience of MicroPort in the process of digital transformation in the live broadcast. The digitalization process of MicroPort started early, and the ERP system was used as early as 2004. He introduced that with the development of the company, the internal information system has become more and more complex, and MicroPort has tried to empower the operation system and optimize the operation mode through cloud architecture, and has achieved good results.
Chen Yuqing shared his views on information solutions in the process of enterprise scale expansion. He believes that with the growth of the company, the number of subsidiaries is also increasing day by day, and the construction of digital systems should also be further segmented for the target customers of different subsidiaries to meet the independent operation needs of different subsidiaries.
At present, some subsidiaries of MicroPort are also exploring some new digital businesses, and most of the projects are in the early stage of investment, involving AI, financial technology and other directions. MicroPort hopes that through the exploration of cutting-edge fields, it can bring new inspiration to the traditional business operation model.
Chen Yuqing believes that in the process of enterprise digital transformation, data governance is the cornerstone of enterprise digital transformation. MicroPort has developed a unified standard for the data in the systems of each subsidiary and branch at the group level to reduce the communication cost in the daily business and decision-making process. Enterprises should continue to promote digital transformation as a "top project", focusing on "end-to-end" business processes, and involving people at all levels.
Intelligent clinical research platform and application
Regarding the development of massive clinical data resources precipitated in major hospitals, Feng Donglei also expounded his own views. He believes that data can be transformed into structured data through data cleaning to form a high-quality case database. It can be used as a clinical research sample to help researchers determine the topic selection. After confirming the topic, you can further filter and clean the data, and iterate continuously to build a structured research sample dataset.
Feng Donglei introduced the intelligent clinical research platform and application based on blockchain and big data. At present, hospitals are paying more and more attention to multi-center clinical research, but due to information security, privacy protection and other reasons, it is difficult to summarize and calculate clinical data. By introducing blockchain and privacy-preserving computing technology, we can make full use of the cooperative hospitals to establish a local specialized patient database to achieve distributed multi-center, data sharing and model training.
On the basis of clinical data governance, combined with blockchain technology, it empowers biomedical clinical research and development, and supports intelligent clinical trials, real-world research, digital research, and artificial intelligence medical device research and development. Realize intelligent patient recruitment, intelligent data collection and filling, blockchain-based remote monitoring, and adverse drug reactions in clinical research. For example, based on big data and artificial intelligence, potential adverse reactions can be continuously detected through the background system, and suspected patients can be detected in time to reduce underreporting. While reducing the work intensity of front-line medical staff, the accuracy and timeliness of disposal work are improved.
Digital Intelligence Practice in Pharmaceutical Business
Wang Fei introduced that at present, Mingdu Zhiyun's AI products have basically covered the fields of pharmaceutical R&D, manufacturing, and compliance, and the software products have achieved full life cycle coverage. By involving AI in drug manufacturing, it can reduce production process deviations by 30%-50%, helping companies make full use of production capacity, broaden profit margins, and shorten delivery cycles. In Wang Fei's view, it is a gradual process for enterprises to realize smart production with the help of AI models
First of all, enterprises need to digitize all kinds of data generated in each production process, and the various production data that are retained can become the "nourishment" of the dedicated AI model in the future. After AI intervenes in production, it can play a role in process optimization, anomaly detection, and batch identification. In the final stage, there will be a general artificial intelligence factory based on natural language interaction in the pharmaceutical industry to achieve automatic control and intelligent production.
In terms of practical application, Wang Fei gave an example. In the field of penicillin fermentation, there is a great deal of instability between different batches of product due to the complexity of the production process. After communicating with the enterprise, Mingdu Zhiyun completed the model deployment after two weeks of data governance, feature screening, and valence. In a short period of time, 35% of the abnormal rate was controlled, which helped pharmaceutical manufacturers improve their efficiency.
Zhang Yuming, the moderator, concluded that the digitalization of the pharmaceutical industry has just taken the first step in the long march, and compared with other industries, the current informatization level of the pharmaceutical industry is relatively low, and the digitalization process has just begun. In the process of digital transformation of the whole industry, the core and basic position of data has become more and more prominent, and the trend of elementalization and assetization of data has emerged. In addition to focusing on the technology itself, enterprises should also establish a communication mechanism to grasp the starting point and blue ocean period of industry development, and jointly build a double helix of digital technology and medical health.
This episode is hosted by Shanghai Pudong Software Park Co., Ltd., and supported by China Enterprise Daily. The two parties joined forces to jointly create and launch the "Pusoft Industry Channel" on August 9, 2023. In the future, the channel will continue to invite industry experts, business leaders, industry researchers and other guests to participate in the event to share the cutting-edge trends, innovative ideas and successful experiences of the development of the digital industry, and promote the continuous innovation and upgrading of the digital industry. (Wen Hou Shuqing).