Medical device giants on the road to transformation

While many domestic devices are still struggling to catch up technologically, the international medical device giants have already set their sights further afield.

After spinning off and becoming separate healthcare groups from the former big industrial groups, the trends of "de-industrialization" and "becoming a technology company" have become visible to the naked eye.

And "we are a technology company" is not just a slogan, with the rapid development of technology, on the one hand, the digitization of products and artificial intelligence assistance, on the other hand, is to open up the upstream and downstream, from the sale of a single product to a total solution provider.

Although there are many similarities pointed out, but the world's three giants of medical devices GPS (GE, Philips, Siemens Healthcare three companies in English capitals abbreviation abbreviation) also chose a different focus and realization path.

In mid-2018, GE Healthcare announced that it would become independent from GE Group, and about half a year later, the biopharmaceutical segment was divested, and GE Healthcare's future focus will be on digital healthcare applications and solutions; Philips, on the other hand, listed digital innovation and artificial intelligence as a company strategy five years ago, and has been building its own eco-platforms, merging with and acquiring startups, and uniting with eco-partners; and Siemens Healthcare wants to build its own version of "digital healthcare". The company's strategy is to build its own eco-platform, acquiring startups and joining forces with eco-partners.

Imaging is GE Healthcare's biggest advantage. As the largest medical equipment manufacturer in China, GE Healthcare has the world's largest installed base of imaging equipment, which gives it a huge amount of data, which is also the basis for GE Healthcare to build its advantage.

At CMEF, GE Healthcare and Arterys, an AI innovation company, launched Cardio MR AI, an AI-assisted cardiac MR diagnosis, and Cloud ECG AI prognostic analysis system based on ECG big data platform; and vector CT, a new generation of all-around CT device based on vector technology.

The digitization of products is only the starting point, as a foundation, GE Healthcare began to build a total product solution around the hospital. In addition to providing equipment products, the use of AI-assisted diagnosis and product operation and maintenance capabilities, but also from the resources, manpower and other aspects to help hospitals build capacity. For example, the newly released upgraded version of APM Asset Cloud Manager has added functional modules such as radiology command center program and equipment transfer center program, which can enhance the effectiveness and rationality of radiology resource utilization, intelligently match the equipment needs of clinical departments, achieve more optimized process operation, finer performance management and smarter decision-making analysis of equipment in the whole hospital, and further enhance the hospital's asset utilization rate and operational efficiency, reduce This will further improve the utilization of hospital assets and operational efficiency, reduce redundant procurement waste, enhance the hospital's comprehensive management level and medical service efficiency, and assist in the construction of smart hospitals.

The "Asset" series represented by Cloud Asset and the "Cloud" series represented by Cloud Imaging and Cloud ECG are the two major series of digital products and applications that GE Healthcare has developed in China, which are the two main directions of its digitization efforts. Hospitals around, making GE Healthcare also on primary care and non-public healthcare two potential incremental quite important.

As GE Healthcare China Vice President Chen Jinlei previously introduced, in the field of digital healthcare, GE Healthcare is closely centered on asset operation management, patient clinical diagnosis, hospital capacity building in three major areas, combined with clinical medicine, machine and big data advanced analysis, to help hospitals and doctors to achieve better clinical and operational decision-making, to promote the sinking of high-quality healthcare resources, to enhance the ability of primary care doctors to diagnose and treat and the quality of service, to promote the construction of healthcare consortia. This will help hospitals and doctors realize better clinical and operational decisions, promote the sinking of high-quality medical resources, enhance the diagnostic and treatment capabilities and service quality of primary care doctors, and promote the construction of healthcare consortiums and the implementation of hierarchical treatment.

Data, industry-wide coverage, and localization under global operations will be GE Healthcare's strengths in the future, and its business development strategy of focusing on high-end, primary, and non-public healthcare "three markets and four pillars" will continue.

The same emphasis on the overall solution, Philips thinking is more around the disease of the overall solution. Including the delivery of medical treatment as well as pre-diagnosis and post-diagnosis connected care, and even early screening.

To Philips cardiovascular overall solution, for example, the new overall solution products include Star Shadow intelligent system, EPIQ 7C Chi i cardiovascular ultrasound system, echocardiography interventional solutions to diagnostic and auxiliary products, but also for the "Chest Pain Center" and "Stroke Center". It also includes a one-stop system, Star Ocean Intelligent System for Health (ISCM), which was developed to meet the demand for direct reporting of quality control data for the construction of "chest pain centers" and "stroke centers".

In terms of connected care, Philips currently has three main businesses, namely "monitoring and analysis and diagnostic care", "sleep and respiratory care" and "population health management", which connect pre-hospital, in-hospital and in-hospital care. Philips has three main businesses, "Monitoring and Analytics and Clinical Care", "Sleep and Respiratory Care" and "Population Health Management", which connect pre-hospital, in-hospital and out-of-hospital scenarios to provide intelligent and comprehensive data management and analytics solutions, collect and integrate all patient data, and help healthcare professionals make better decisions.

And the newly released products, Philips cloud sea central information center is designed to break the ICU information silo, can effectively connect the bedside monitoring equipment and systems, will be dispersed monitoring equipment information centralized analysis, management and control.

In addition, the Shenfei Cloud 2.0, launched with Shenzhou Medical, developed a set of integrated solutions for the actual application scenario of early lung cancer screening on the Philips Nebula Image Post-Processing Platform, which has been realized in version 1.0 and placed in the cloud, including intelligent equipment, informatized software systems and professional services, to provide a full range of services for the realization of accurate lung cancer screening in grassroots hospitals.

The Philips Nebula medical imaging AI platform is the most critical product in Philips' digital healthcare ecosystem, which consists of two platforms, ISP (supporting clinical image diagnosis, covering cardiology, oncology and neurology) and ISD (medical research platform).

As Philips Greater China Vice President Liang Jianqiu said, Philips was defined a few years ago as an industry-focused company, and is now recognized by the industry as a health technology company.

According to a previous Titanium Media report, Siemens Healthcare's digitization idea is also divided into three stages: product digitization, production process digitization, and service digitization. Similarly, Siemens Healthcare's AI strategic planning is divided into three steps: the first step, as much as possible, all AI technology embedded in existing equipment products, there are currently more than 40 AI applications; the second step, based on the data that has been collected, to provide efficient solutions; the third step, continue to explore the application of the data based on.

Siemens Healthcare also launched Teamplay, a digital healthcare platform that is a cloud-based big data platform and healthcare ecosystem. By connecting healthcare organizations and their imaging devices, and based on the metadata generated by the diagnostic imaging process, including time, type and duration of exams, radiation dose, and scanning protocols, large hospitals, hospital networks, and diagnostic centers can understand how many devices are in use. The Teamplay platform has a positioning and role similar to that of an "App store", which can solve the problem of standardization and regulate the scanning parameters, dosage, and sequence of use in different hospitals, making it a holistic solution. On this basis, AI startups residing on the platform can get support for hard and software and standardized operations.