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Cloud for Health and Healthcare: 5 Key Application Scenarios

According to IDC, healthcare is a major industry in terms of spending on cloud solutions. Cloud solutions are becoming the foundation of services for storing, exchanging, and processing medical data. They offer a wide range of options, from providing remote physician-patient interactions to creating a full-fledged digital ecosystem based on smart health monitoring devices.

Consider five promising use cases for cloud solutions in health care.

1. Telemedicine

Telemedicine is a convenient alternative to direct doctor consultation by providing quality medical care to patients remotely.

The obvious benefits of telemedicine are:

  • Remote doctor consultation;

  • Prompt first aid;

  • Convenient access to medical data stored in a secure cloud for both doctors and patients.

  • High quality medical care in remote areas.

  • Innovative telemedicine platform. It provided its own cloud infrastructure for an innovative telemedicine platform launched simultaneously at several medical facilities in Luxembourg.

This platform gives patients easy access to telemedicine without having to submit an application. The digital ecosystem also provides HD online communication with doctors. In addition, secure exchange of documents enables remote work with patient medical records, test results and prescriptions.

It was especially important for the medical centers participating in the project to deploy the telemedicine platform servers in reliable data centers in the country.

Details of this project Here..

2. Digitization of medical care

Centralized data storage

In advanced medical systems and centers, patient data is collected in electronic medical records based on centralized object storage.

This solution guarantees reliable protection of sensitive health information and makes it possible to archive large amounts of data stored in medical facilities. Providing such cloud storage is one of our main areas of development.

Electronic medical records operating at the federal and regional levels are not associated with the particular clinic that is most convenient for the patient. According to the US Department of Health and Human Services, more than 95% of national hospitalization facilities have them.

Transfer medical records to the cloud

Electronic medical record service providers are gradually migrating their solutions to the public cloud, which Cerner and Meditech announced in 2019. Market participants are moving to a more flexible model of dialogue with healthcare facilities by providing electronic medical records as a service.

As a result, the clinic will be able to:

  • Choose the option you need and pay only for the resources actually used thanks to the pay-as-you-go model that is common in the public cloud.

  • Unload your own IT infrastructure.

  • Delegate cybersecurity to your cloud provider.

Introduction of artificial intelligence

In the future, the public cloud will enable the introduction of artificial intelligence to process data from electronic medical records. This guarantees a personalized approach to treating the patient, resulting in improved diagnostic accuracy and quality of treatment.

Improved diagnosis

Cloud services are also used in medical specialties. According to the American Medical Association, about 35% of misdiagnosis is due to restricted access to medical images, data, and records by specialists. In the United States, for radiologists, this problem is addressed by a cloud solution that combines the results of studies conducted using more than 500,000 medical imaging devices (such as CT scans and X-rays) into a single portal. I am.

3D images are processed in a flexible public cloud computing environment. Doctors can access medical data with convenient electronic devices (computers, tablets, smartphones) without being tied to the workplace.

3. Manipulation of biobanks and big data

The formation of national and international biobanks facilitates research in a variety of biomedical sciences, including cardiology, oncology and endocrinology. The most promising research projects are also based on the use of artificial intelligence (AI) technology.

The biobank of the American medical center UCLA Health combines structured and unstructured data in the following public clouds:

This solution is based on a scalable, high-performance cloud computing environment with built-in artificial intelligence. Analyzing data using machine learning algorithms can significantly reduce exploration time. A process that used to take months can now be completed in days.

AI platform outlook

Special tools and methods are needed to form a single biobank within a healthcare system. Big data services are a combination of medical information collected from many sources. For example, today, data lake methods are used to provide centralized storage for large amounts of unstructured data.

G-Core Labs Cloud Infrastructure It also enables the deployment of the most demanding applications and services for working with big data.

4. Artificial intelligence

Cloud-based AI applications are in demand in the following areas:

  • Diagnosis of diseases including cancer;

  • Predictive analytics that predetermines the risk of developing and spreading the disease.

  • Analysis of medical images (X-ray, ECG, and EEG).

  • Genetic research.

The advantage of using such an application is that the diagnostic results are significantly more accurate than the conclusions made by the doctor himself.

Heart disease neural network training

In November 2019, the American Heart Association published the results of analyzing ECG data using artificial intelligence to proactively identify patients at risk of developing life-threatening arrhythmias. Neural networks were trained using over 2 million ECG images from the Geisinger Health System (a network of medical centers in Pennsylvania and New Jersey) archives.

Image analysis was performed in 15 segments, each consisting of 30,000 points.

The study created a model that predicts the risk of patient death within a year, based on ECG results that had no pathological signs in the opinion of cardiologists.

DNA analysis

At the Massachusetts Institute of Technology (MIT), artificial intelligence analyzes laboratory-designed DNA sequences to identify their origin. The advantages of this technology are high-speed data processing and reliable results. MIT neural networks are superior to BLAST, the most popular DNA sequence comparison method, in terms of accuracy.

G-Core Labs AI platform Developers and data scientists can also quickly build, train, and deploy machine learning models. This product is also suitable for creating professional solutions in the field of healthcare.

5. Internet of medical supplies

The next step in healthcare development is the creation of a digital ecosystem based on smart medical devices. By collecting real-time information about the patient’s health, doctors can quickly diagnose the disease and prescribe treatment.

Remote monitoring

Israeli startup Bio-T is using the public cloud to create the Internet of Medical Things platform. The smart remote health monitoring device tracks heart rate, blood pressure, respiratory rate, and other vital signs.

Data transfer to the cloud enables doctors to do the following in real time:

  • Monitor patient compliance with prescribed treatment.

  • Monitor changes in vital signs.

  • Make informed decisions to coordinate treatment strategies.

Digital health systems connect patients, healthcare professionals, healthcare facility management and technical staff, and insurance company representatives. In addition to the data collected by smart remote monitoring devices, patient survey results and service payment information are stored and processed in the cloud.

Clinical trial

A new approach to organizing clinical trials based on the public cloud has been implemented by the Swiss company Ypsomed, which specializes in injection therapy. Research participants do not need to be in the hospital because their condition is monitored remotely.

The digital platform offers:

  • Connecting smart devices to the cloud.

  • Ability to manage work from a distance.

  • Data storage;

  • Deploying monitoring and analytics services in selected regions around the world.

Thanks to the smart pilot injection device, self-administration of drugs by clinical trial participants and remote access to data from researchers and pharmaceutical companies are organized. According to the developers, this solution complies with health regulations and meets privacy and security requirements.

G-Core Labs cloud service Ready for use in health care. They are easy to connect and can optimize, simplify and speed up your medical infrastructure.

A few words about the G-Core Labs cloud

G-Core Labs Cloud Is a multifunctional data center that’s always available from anywhere in the world, allowing you to deploy unlimited virtual resources with just a few clicks, without having to leave your home or office or buy expensive equipment. I will. With the help of G-Core Labs Cloud, any company can speed up development, testing, and launch processes several times with minimal infrastructure costs.

Our cloud services feature Intel Xeon Gold 6152, 6252, and 5220 processors with up to 1 TB of RAM, SSDs, and HDDs with triple replication.

G-Core Labs Cloud is based in Luxembourg, Ashburn (USA), Amsterdam, Singapore, Moscow and Khabarovsk. Followed by Frankfurt, Sydney and São Paulo.

https://www.computing.co.uk/sponsored/4031966/cloud-medicine-healthcare-application-scenarios Cloud for Health and Healthcare: 5 Key Application Scenarios

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