AWS for Industries

Category: Healthcare

How to process medical text in multiple languages using Amazon Translate and Amazon Comprehend Medical

Amazon Comprehend Medical is a HIPAA eligible service that uses deep learning to identify and extract relevant information from medical text. The service uses trained Natural Language Processing (NLP) models to identify medical entities and relationships, such as medication, dosage, diagnosis, and Protected Health Information (PHI). This provides an efficient and cost-effective way to mine data […]

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AWS re:Invent 2019 – Healthcare and life sciences industry recap

With over 75 launches and announcements of new services and major features during re:Invent, it can be hard for any technologist to keep track of the most relevant information for Healthcare and Life Science (HCLS) workloads. Explore the below recap of information important for HCLS customers and links to the top re:Invent breakout sessions. Top […]

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Automating claims adjudication workflows using Amazon Textract and Amazon Comprehend Medical

When a medical claim is submitted, the insurance provider must process the claim to determine the correct financial responsibility of the insurance provider and the patient. The process to determine this is broadly known as claims adjudication. It involves creating a claims processing workflow that checks each claim for authenticity, correctness, and validity based on […]

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Webinar: Digital Medicine 101

Technology is changing how we practice medicine. Sensors and wearables are getting smaller and cheaper, and algorithms are becoming powerful enough to predict medical outcomes. Yet despite rapid advances, healthcare lags behind other industries in truly putting these technologies to use. A major barrier to entry is the cross-disciplinary approach required to create such tools, […]

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Predict patient health outcomes using OHDSI and machine learning on AWS

Build a machine learning model to predict the likelihood of stroke in a patient with newly diagnosed atrial fibrillation In healthcare, patient outcome prediction is a critical step in improving the effectiveness of care delivery while reducing its overall cost.  Being able to accurately forecast what will happen next to patients, at scale, is key […]

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AWS re:Invent 2019 – Healthcare and Life Sciences Industry Guide

We have an exciting re:Invent planned for the healthcare and life science industries this year. This year’s conference will be our biggest yet, with 60,000+ attendees, more than 2,000 technical sessions and dedicated tracks for both healthcare and life sciences. Below is some key information to help industry attendees make the most of re:Invent 2019. […]

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In the News: Cerner, Aidoc, and Arterys use AWS machine learning to improve healthcare

WIRED just published a story about how leading healthcare organizations like Cerner, Aidoc, and Arterys are using AWS machine learning to provide faster, more accurate diagnosis, improve clinical workflows, and streamline patient care.  With Amazon SageMaker at the core, these organizations are leveraging a wide variety of AWS Cloud services, which allows them to focus […]

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Achieve Healthcare Interoperability by integrating Amazon Comprehend Medical with FHIR

Healthcare interoperability is a major initiative across all stakeholders of the healthcare ecosystem, and the Fast Healthcare Interoperability Resources (FHIR) standard has opened the doors for a modern approach to sharing such information. I have frequently heard from healthcare customers that they want to make a difference in patients’ lives by sharing the most relevant […]

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Building a multi-channel, data driven patient engagement platform with AWS

In today’s digitally transformed world, it’s more important than ever to have a deeper understanding of your patient’s attitude and behavior, and to engage them with personalized content through the channels that they prefer in order to provide efficient and personalized patient care. In addition, with today’s value-based healthcare, the patient is the center of […]

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