We worked with Huawei to establish a cloud platform, enable IoT access, and develop solutions. We have already tested some solutions on the cloud platform provided by Huawei and obtained very satisfying results. In the future, Philips and Huawei will work together to push healthcare solutions into the market.

Ludwig LiangPopulation Health Management Director, Philips Greater China Region

With cloud and machine learning technology, Philips and Huawei released a joint solution to improve healthcare efficiency and accuracy, building a favorable healthcare environment for both patients and medical personnel.

Huawei and Philips have successfully tested an advanced cloud healthcare solution in China. It was only recently, in the fourth quarter of 2016, that the two companies signed a memorandum of understanding to begin the project. By using cloud and machine learning technologies, this solution is expected to sweep across the healthcare industry at an unprecedented pace and scope, creating a new, digital healthcare future.

Huawei and Philips’ cooperation will focus mainly on second-tier cities in China, aiming at providing high-quality cloud healthcare services to communities that lack advanced healthcare solutions or doctors.

Compared with doctors’ traditional methods, cloud-based Artificial Intelligence (AI) can process large volumes of data more agilely and precisely. Philips’ China Region Health Management Director, Liang Jianqiu, pointed out that cloud AI technologies are especially important for China’ second-tier cities because many doctors “do not necessarily possess the diagnostic skills for nuclear magnetic resonance imaging or computer tomography. And even if doctors have those skills, diagnosing thousands of image reports daily increases the chance that they will make a mistake.”

On the other hand, AI can easily identify patterns from large volumes of data. For serious diseases like cancer, the cloud terminal machine learning solution can more precisely determine how much a patient’s disease has advanced. As a result, applying cloud AI technology to healthcare will benefit all of society.

Benefits for Patients

Mobile technologies and applications will make self-service healthcare management a reality; healthcare management will change from a passive, scattered process to one that is active and occurs in real time.

“People can use an App and obtain objective data from cognitive devices instead of a couple of words from other people,” Liang said.

With the increasing popularity of active monitoring, early intervention, and even remote treatment and other personal healthcare management methods, patients can consult with professional medical personnel at any time to understand their health situations. For example, the ‘Life Records’ application can connect with people’s wearable products to record their daily life habits and monitor their health. Thresholds can be set for each individual so that any abnormal readings are detected immediately and then sent in real time to the person’s doctor. Liang pointed out that many health problems, such as an abnormal heartbeat, can be difficult to detect, but “any abnormal data can identify health problems and immediately send crucial feedback to your doctor.”

“We have made breakthroughs in some emerging domains,” Liang pointed out. “Healthcare is gradually being extended from hospitals to homes. Healthcare applications and Internet-connected devices’ applications are becoming more common.”

The concept of expanding healthcare services is of great significance. It means that patients’ treatments no longer will be limited to hospitals or doctors’ offices. Liang added that the emergence of healthcare applications, sensors, smart terminals, and cloud computing means that “patients will have a healthcare team that provides them with 24/7 services.”

Wearable technology is still not popular, but that is just a matter of time, Liang said. “The U.S. Food and Drug Administration is authenticating some wearable products, so they will finally become a reality.”

In the future, bio-sensing technology will comprehensively report the state of a person’s health. At the same time, the development of machine learning will help people accurately predict disease development trends. For example, smartphones will be able to use voice analysis technology, in which the user’s voice conducts analysis. The phones also will be able to identify blood pressure, heart diseases, or Alzheimer’s, among other conditions. Wheelchairs will be able to recognize Parkinson’s early symptoms through slight tremors in the hands. Some devices will be able to scan people’s bodies for tumors when they bathe.

In addition, Liang believes that mastering the skills to use AI technology is not difficult for users: “The age of computers and mobile application users is on the rise, many 50-to-60-year-olds are already learning how to use WeChat and other social media platforms. They are quickly adapting to the development of new technology.”

The younger generation also will play a key role in making use of AI technology, Liang said. “They might think: ‘How is my father doing today?’ And they will actively understand their parents or grandparents’ health, so they will make sure that they can use these new technologies.”

Apps that record behavior from health monitoring sensors can ensure patients cooperate with their treatment plans by sending them reminders or alarms in order to increase treatment efficiency.

Benefits for Doctors

Cloud AI technology can greatly reduce doctors’ repetitive work and also bring other benefits. First of all, in terms of clinical treatment, doctors can let computers handle a portion of their work, such as disease diagnosis, since computers can detect abnormalities more accurately than humans. For example, a thrombus or bleeding can cause a stroke, and doctors must diagnose and treat within the first 45 minutes, which are as valuable as gold, and eliminate the thrombus as soon as symptoms appear. In addition, manual scanning often takes hours and even days before it identifies visible thrombus shadows. Using cloud AI technology can avoid this situation.

Second, cloud AI technology can assist doctors to share information more efficiently by quickly downloading large amounts of data to research a disease. “Doctors can study very old case data, enabling them to further understand the symptoms from different diseases and identify efficient treatment,” Liang said.

Cloud AI and analysis of large volumes of data can improve people’s health by identifying potential epidemics, providing real-time monitoring, and helping doctors study the relationship between rare diseases and certain groups of people and areas. Compared to human analysis, cloud AI technology is definitely better.

Solution Implementation

For China, Liang Jianqiu believes that technical solutions have three problems:

“The first problem is having an aging society. As people’s lifespans become longer, people rely more on healthcare resources. Second, the costs of monitoring chronic diseases are continuously increasing, posing a heavy burden on society. There is hope that this problem can be fixed using technical solutions. The final problem is solving the issue of uneven distribution of healthcare resources.”

Philips and Huawei’s joint solution will cut costs, improve diagnosis and treatment efficiency, and quickly and accurately create a fair healthcare environment.

“Our cooperation with Huawei built a cloud platform, enabled IoT connections, and developed solutions,’ Liang said. “We have already tested these solutions on the cloud platform provided by Huawei, and we have obtained positive results. In the future, Phillips and Huawei together will promote even better healthcare solutions.”



Like the story? Give your score.


Write your comment here.


    More comments

      You have scored successfully.

      You have submitted successfully.

      Evaluation failed.

      Submission failed.

      Please write your comment first.

      Back Home