How AWS HealthLake Used in Healthcare?
Hospitals, doctors, clinics, and other organizations understand the importance of these healthcare data, including patients’ health details, sensitive information, medical insights, health records, prescriptions, etc. And, it’s a big challenge to handle such a large amount of data in physical papers, and that’s unlocking the need for cloud storage to store data in a private cloud for easy accessibility and analysis.
However, still, these healthcare records are unstructured, and
hard to find what is required at the moment. This is where AWS (Amazon Web
Services) healthcare comes in as a one-stop solution. It is a tool that allows
healthcare organizations to securely store their health records on their
storage, index data, and analyze all the data in a few minutes to get
meaningful insights. It makes it easier for healthcare organizations to access
their data in a structured format and also get meaningful insights by analyzing
via the AWS HelathLake tool.
AWS HealtLake is a high-end tool, and if you require this tool for
storing, managing, and analyzing your organization’s healthcare data, then you
must know how this tool can help.
In this article, we will explore everything about AWS HealthLake,
its features, benefits, and use cases. So that you can understand its potential
and know how it can help in your healthcare organization. Let’s dive in!
AWS HealthLake: Overview
AWS (Amazon Web Services) HealthLake is a HIPAA-compliant software that allows healthcare organizations to
securely store, transform, organize, and analyze their healthcare data in one
place. It’s a powerful tool that can analyze electronic health records in a few minutes and
gives valuable insights that can help organizations make data-driven decisions.
Mostly, the health data is in an unstructured and incomplete
format, but it has valuable information, such as patient records,
prescriptions, medical images, physician notes, etc, that is essential.
AWS HealthLake can transform the
given raw data into FHIR APIs (Fast Healthcare Interoperability Resources),
which makes it easier to understand and analyze. These FHIR-based APIs make it
easier for organizations to import large amounts of health records to cloud
storage.
It has built-in NLP (Natural Language Processing) models, which
help users understand customers’ data and extract valuable insights after
analysis for making data-driven decisions, identifying trends, and making
predictions.
Why Use AWS HealthLake for Healthcare Data?
There are various reasons why healthcare organizations should
consider the AWS HealthLake tool for health data:
1. Fast Ingest Health Data
By using the AWS HealthLake tool, healthcare
organizations can quickly import their bulk health data, such as clinical
notes, lab reports, insurance details, patient records, etc, to AWS storage in
FHIR R4 format, which can be used later in downstream applications.
2. Time and Cost savings
It helps to save an organization’s precious time and money with
AWS HealthLake because it will handle the cost of infrastructure to store
healthcare data and analyze raw data in minutes.
3. Secured Cloud Storage
One of the key reasons why healthcare organizations need to switch
to healthcare solutions is cloud storage.
You can easily store raw data in AWS cloud storage with security in a
HIPAA-compliant manner.
4. Data Interoperability
AWS HealthLake supports Fast Healthcare Interoperability Resources
(FHIR) which can be used to transform raw data into FHIR-based data format for
360-view accessibility and analysis.
5. Data Analysis
AWS HealthLake has built-in various
analyzing tools, such as Amazon QuickSight and ML Models, which can be used to
analyze the raw data and extract the most valuable information that helps
organizations make data-driven decisions, identify trends, and make
predictions.
6. Security and Compliance
AWS HealthLake has HIPAA-compliant high-end cloud security and encryption support which allow
organizations to safely store their data on the cloud and authorized access
control to ensure privacy and safety.
7. Scalability
The AWS Cloud HealthLake tool can store large amounts of raw health data. It
gives scalability to organizations to grow without the need for data storage
infrastructure investment.
Wrapping Up!
AWS HealthLake is playing a crucial role in the healthcare
industry. Where organizations can use this tool to securely store, transform,
and analyze the raw data and get meaningful insights within a few minutes for
better decisions, identify trends, and make predictions. We hope this guide
helps you be aware of how AWS HealthLake can be used for health data and what
benefits it provides to organizations.
If you’re planning for healthcare app development for your organization,
then hiring a custom healthcare software development company is a one-stop
solution to let the professional build the software for your business as per
your requirements. DreamSoft4U is a trusted name for healthcare software
development, and our team of experts can understand your requirements and
deliver the expected results. Get in touch with us today!
FAQs
Q.1 What is the
main functionality of AWS healthlake?
AWS HealthLake is a
HIPAA-compliant tool that is mainly used by organizations to securely store,
transact, and analyze health data to find meaningful insights within a few
minutes.
Q.2 What exactly
does AWS healthlake do?
By using the AWS
healthcare tool, organizations can extract meaningful insights from the health
data, which helps to make data-driven decisions, identify trends, and make
predictions accurately.
Q.3 Do healthcare
organizations use AWS healthlake?
Yes, most healthcare
organizations are using AWS Health Lake for storing and analyzing the raw data
for better patient treatment, faster data management, and efficiency.
Q.4 Which format
AWS healthlake supports for data?
AWS healthlake supports
FHIR R4-based data format. It will automatically convert the raw data into FHIR
R4 format.
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