Amazon HealthLake: The Smartest Way To Use Healthcare Data

Amazon Health Lake

Amazon health lake enables healthcare related industries to securely store, transform and access the data. With embedded healthcare APIs, they can effortlessly copy sensitive data from the on-premises infrastructure and store it in the cloud.

Fast Healthcare Interoperability Resources (FHIR) is the standard format used to store and index healthcare data. That helps to view the complete medical records of the specific patient. Amazon healthcare uses machine learning models to facilitate customers to understand and extract meaningful insights from the medical data.

Organizations can also build ML models with Amazon SageMaker and amazon Quick sight analytics to make predictions from the bulk volume of data.

Features of Amazon Healthcare

Import:

Fast Healthcare Interoperability Resources is the prominent format used in Amazon health lake. organizations need to convert the data into FHIR format to import data. With import API, one can easily migrate healthcare data from Amazon S3 to Amazon health Lake.

Store:

Different formats of healthcare data like lab records, images, clinical notes, insurance claims and prescriptions are stored. All the data stored is indexed in the way to be easily queried. Sensitive data in Amazon healthcare is secured via customer-managed keys, GDPR compliance and HIPPA eligibility.

Transform:

Natural Language Processing (NLP) modifies all the raw unstructured data into organized data. It allows you to extract information like medical procedures, test results, dosage limits, etc.,. All the extracted entities are stored in the FHIR resources which can be accessed via FHIP APIs.

Query:

You can eventually make changes to the patients’ data with Read, Update and delete operations. You can insert new records like test reports of the patient via Create operation. With a predefined filter you can search and get any kind of data you want.

Analyze:

Users need not export the data to analyze it, Amazon healthcare supports Athena SQL queries so with Amazon Quick sights, one can easily explore the insights of the patient. With Amazon SageMaker, you can also create, train, and use your own machine learning models for predictive analytics.

Imaging:

Healthcare providers and their software partners can host their medical imaging applications in the cloud with Amazon Health Lake Imaging to enhance scale and lower infrastructure expenses. By using a single, authoritative copy of patient imaging data in the cloud to run their medical imaging applications, Health Lake Imaging enables providers to cut the cost of medical imaging storage by up to 40%.

How Does Amazon Health Lake Works?

Multiple formats of structured and unstructured data like lab reports, medical records, prescriptions, etc., are converted into Fast Health care Interoperability Resources (FHIR) format. FHIR is the desired format for Amazon Health Lake. The converted FHIR data is inserted into Amazon HealthLake.
Specialized ML models are used to identify trends and predictions with the given data.
Natural Language Processing (NLP) is used to extract full insights for the query asked.
Which can be connected to Amazon SageMaker, Amazon QuickSight or any other third-party applications based upon the requirements of the organizations.

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Benefits of Amazon Health Lake

Scalability:

It stores and process large volumes of structured and unstructured medical data. It provides the scalability to handle growing data sets without the need for upfront infrastructure investment.

Data interoperability:

Health Lake supports the Fast Healthcare Interoperability Resources (FHIR) standard, which is widely used in the healthcare industry to exchange health information electronically.

Data Lake architecture:

With Health Lake, organizations can create a centralized and secure data lake for their healthcare data. It aggregates and stores data from various sources in its raw form, allowing researchers and data scientists to access and analyze the data for a wide range of purposes.

Machine learning capabilities:

Health Lake leverages AWS’s machine learning services, such as Amazon Comprehend Medical and Amazon Tex tract, to extract relevant medical information from unstructured data. This enables the identification of key insights and patterns that can be used for advanced analytics, predictive modeling, and decision-making in healthcare.

Security and compliance:

Amazon Health Lake is designed to meet stringent security and compliance requirements in the healthcare industry. It provides encryption at rest and in transit, fine-grained access controls, and auditing capabilities to ensure the confidentiality, integrity, and availability of sensitive healthcare data.

Integration with other AWS services:

Health Lake seamlessly integrates with other AWS services, such as AWS Lambda, AWS Glue, and Amazon S3, which allows organizations to build comprehensive data pipelines and workflows for data processing, analysis, and visualization.

Time and cost savings:

By leveraging Health Lake’s managed service, organizations can reduce the time and effort required to set up and maintain their own infrastructure for healthcare data storage and analysis .

Use Cases of AWS Health Lake

Amazon Health Lake can be utilized in various use cases across the healthcare and life sciences domains.

Clinical research: Health Lake stores large volume of diverse healthcare data. Researchers can use Health Lake to access and analyze this data to identify patterns, discover new insights, and conduct studies that can lead to advancements in clinical research and personalized medicine.

Real-time monitoring and alerting: Health Lake can be used to ingest and process streaming data from medical devices and sensors. By analyzing real-time data, healthcare organizations can identify critical events for proactive patient management.

Healthcare analytics and reporting: Health Lake provides a secure and scalable data lake for healthcare data, making it easier to perform advanced analytics and generate insightful reports.

Population health management: Modern analytics techniques and machine learning models make it possible to forecast outcomes, analyze population health patterns, and control costs.

How can Continuum Innovations help you?

We are a team of thinkers and doers, have a successful record in providing cloud solutions to the healthcare sector. Our experts have rich experience and a high skillset in managing AWS Health Lake. We help organizations to derive maximum value from their healthcare data.

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Amazon HealthLake: The Smartest Way To Use Healthcare Data

Amazon Health Lake