We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Detecto

Download Mobile App




New Data Archiving Service for Healthcare Providers

By HospiMedica International staff writers
Posted on 28 Jul 2021
Print article
Image: The HealthLake cloud-based data repository organizes massive medical data (Photo courtesy of AWS)
Image: The HealthLake cloud-based data repository organizes massive medical data (Photo courtesy of AWS)
Amazon Web Services (AWS; Seattle, WA, USA) has made available its HealthLake cloud-based data repository for use by healthcare and life sciences organizations.

Designed to help providers organize and store data from multiple clinical silos into a single "data lake", the service normalizes data by identifying each piece of clinical information and tagging and indexing it in a timeline view with standardized labels, using machine learning (ML) algorithms that have been trained to understand medical terminology. It also indexes all events into a timeline view and enriches data with standardized labels, such as if the data applies to medications, conditions, diagnoses, or procedures, so all the information can be easily searched.

All data in HealthLake are formatted using the Fast Healthcare Interoperability Resources (FHIR) industry standard, which facilitates a complete view of the health of individual patients and entire populations. By aggregating clinical data into the FHIR format, providers will be able to take a step toward standardizing structured data. However, the majority of health data remains unstructured and still needs to be tagged, indexed, and structured in chronological order to make all of the data understandable and able to query, which is accomplished by HealthLake.

Tools that can be used to analyze the data include Amazon QuickSight, which supports analysis of patient and population-level trends, Amazon SageMaker, which helps clinicians predict disease progression, and other third-party applications. Healthlake can also be used in order to improve hospital efficiency by applying ML and advanced analytics to newly structured data, thus optimizing appointment scheduling, reducing unnecessary procedures, and predicting hospital bed availability.

“Amazon HealthLake … has enabled us to quickly store disparate data from multiple data sources in FHIR format in order to gain critical insights in to the care of COVID-19 patients,” said Bala Hota, MD, chief analytics officer at Rush University Medical Center (Chicago, IL, USA). “We have also used HealthLake’s integrated natural language processing to extract information such as medication, diagnosis, and previous conditions from doctors’ clinical notes and enrich patient records to examine barriers to healthcare access, providing our researchers additional data points for analytics.”

Amazon has worked with multiple partners on HealthLake, including 3M, Anthem, AstraZeneca, Bristol Myers Squibb, Cerner, the Fred Hutchinson Cancer Research Center, GE Healthcare, Infor, Pfizer, and Philips. Early users for HealthLake include Rush University Medical Center, Cortica, InterSystems, and Redox.

Related Links:
Amazon Web Services

New
Gold Supplier
Creatinine Meter
StatSensor Xpress Creatinine Meter
New
Elevating X-Ray Table
PROGNOST F
New
Digital Video Colposcope
CS6/CS6 Pro
New
Mobile Radiography System
NeuVision 550M (Plus)

Print article

Channels

Critical Care

view channel
Image: The advanced electronic skin could enable multiplex healthcare monitoring (Photo courtesy of Terasaki Institute)

First-of-Its-Kind Electronic Skin Patch Enables Advanced Health Care Monitoring

For some time now, electronic skin (E-skin) patches have been used to monitor bodily physiological and chemical indicators of health. Such monitors, placed on the skin, are capable of measuring various... Read more

Surgical Techniques

view channel
Image: The neuro-chip with soft implantable electrodes could manage brain disorders (Photo courtesy of EPFL)

Implantable Neuro-Chip Uses Machine Learning Algorithm to Detect and Treat Neurological Disorders

Using a combination of low-power chip design, machine learning algorithms, and soft implantable electrodes, researchers have produced a neural interface that can identify and suppress symptoms of different... Read more

Health IT

view channel
Image: Using digital data can improve health outcomes (Photo courtesy of Unsplash)

Electronic Health Records May Be Key to Improving Patient Care, Study Finds

When a patient gets transferred from a hospital to a nearby specialist or rehabilitation facility, it is often difficult for personnel at the new facility to access the patient’s electronic health records... Read more

Point of Care

view channel
Image: Steripath improves the diagnostic accuracy and timeliness of sepsis test results (Photo courtesy of Magnolia)

All-in-One Device Reduces False-Positive Diagnostic Test Results for Bloodstream Infections

Blood cultures are considered the gold standard diagnostic test for the detection of blood stream infections, such as sepsis. However, positive blood culture results can be frequently wrong, and about... Read more

Business

view channel
Image: Researchers expect broader adoption of AI in healthcare in the near future (Photo courtesy of Pexels)

Artificial Intelligence (AI) Could Save U.S. Healthcare Industry USD 360 Billion Annually

The wider adoption of artificial intelligence (AI) in healthcare could save the U.S. up to USD 360 billion annually although its uptake in the industry is presently limited owing to the absence of trust... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.