Amazon HealthLake: Use Machine Learning to Transform Healthcare | Rolustech
Amazon HealthLake is a service by AWS that caters to the healthcare industry in a new way. This applies to insurance, pharmaceutical, and healthcare providers. With HealthLake they can have complete control over their data on an extremely large scale if they please.
In the world of healthcare data, everything is in a different format, with unique units and methods of measurement. There is so much unstructured information present in lab reports, insurance documents, medical imaging, and various types of organ scans. Structuring all of this information is vital to efficient response times and great customer service, which are vital to healthcare. It is an especially difficult task due to the different types of machinery involved and the occasional breakthrough in medicine. This vast infrastructure is easy to get lost in when trying to keep a unified record with a holistic view. Get past this and you can make better patient support decisions and have efficient operations.
Transform your Health Data
Amazon HealthLake will help you curb these issues and then some. You can transfer the data into the industry-standard Fast Healthcare Interoperability Resources (FHIR) format. It’s better to have them stored in the cloud in a secure data lake than have them strictly on-premises. HealthLake will organize, categorize, and structure patient databases to give a holistic view of them in a neat fashion. Unstructured data is practically transformed within HealthLake using Amazon’s machine learning models, for which you don’t need machine learning expertise.
HealthLake also uses natural language processing to make sense of medical terms to extract meaningful data. You can mix this with other AWS machine learning services like Amazon SageMaker and Amazon QuickSight for added functionality. This can be used to further understand relationships, trends, and make predictions from the new structured data from Amazon HealthLake. With health data organized, catch up with health trends and get the heads up on disease detection earlier. Use machine learning to improve the standard of your healthcare while reducing costs at the same time.
Benefits of Amazon HealthLake
Transfer Health Data for Accessibility
Amazon HealthLake can receive data from any source, no matter how unstructured or convoluted it may be. Medical information can be extracted from things like procedures, prescriptions, diagnoses, and other types of medical reports. Before you would have to scour the database manually to find snippets of useful information scattered everywhere. Amazon HealthLake takes away this manual process and automates it with better results than human work.
Trend Identification for Accurate Predictions
Amazon HealthLake also saves the date of each piece of information extracted, meaning you can have trends ready immediately. A history of medical events is necessary for the industry, which is formed as a given in HealthLake. This makes it much easier to spot opportunities that may have arisen at an earlier date but weren’t identified. Combine this with Amazon SageMaker, and you can find insights, patterns, and anomalies even better.
Interoperable Standard Support
Interoperability implies that the new structured data can be used across many different applications. The format is consistent in how it’s created and compatible enough to be detected by other systems. You can create a chronological view of every patient’s medical history along with structures that follow the FHIR industry standard. These best practices will help you serve more people and succeed in the healthcare industry!
The organization of healthcare data alone is reason enough to get an instance of Amazon HealthLake. As a healthcare organization, it is a duty to keep medical records complete and accessible when requested by patients. HealthLake lets you do just that, no matter how complex of a form the data takes.
Having a well-structured database allows medical staff to have improved workflows as they have easy access to everything. This removes their bottlenecks and allows them to increase productivity and efficiency in that newfound time.
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Originally published at https://www.rolustech.com on March 19, 2021.