AWS Partner Network (APN) Blog

Category: Healthcare

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How to Build and Deploy a Contact Tracing Solution with AWS IoT Core and SafeTrack Lite

As COVID-19 cases continue to surge, institutions are working tirelessly to ensure they are prepared. Contact tracing is a complex problem to solve, and CareBand’s SafeTrack is a solution. This post covers how to get started partnering with CareBand’s technology and building a solution using AWS that collects data from SafeTrack wearables and integrates that with AWS IoT. The solution will generate a report of all the individuals who have been exposed to a detected case of COVID-19.

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How Pr3vent Uses Machine Learning on AWS to Combat Preventable Vision Loss in Infants

Scaling doctors’ expertise through artificial intelligence (AI) and machine learning (ML) provides an affordable and accurate solution, giving millions of infants equal access to eye screening. Learn how Pr3vent, a medical AI company founded by ophthalmologists, teamed up with AWS Machine Learning Competency Partner Provectus to develop an advanced disease screening solution powered by deep learning that detects pathology and signs of possible abnormalities in the retinas of newborns.

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How Capgemini Simplifies Pandemic Management with AWS Machine Learning Services

In a global pandemic, it can be hard for medical practitioners and patients to get connected and treated. Continually being on top of patients’ progress is also a challenge, along with scarcity of doctors who themselves are affected by the pandemic. Learn about a reference architecture from Capgemini that uses AWS machine learning services to enable doctors and patients to interact with the least amount of physical contact, while also improving efficiency in treatment management, tracking, and auditing.

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How AWS Machine Learning Services Increase Medical Coding Accuracy and Efficiency

Medical coding helps providers maintain patient records and obtain reimbursement for services. Unfortunately, the process is complicated, time-consuming, and prone to error. Learn how ClearScale developed a solution that increases the efficiency and accuracy of the coding process. Powered by AWS Machine Learning, the application translates recorded medical appointment notes, and uses the information to generate more accurate medical codes.

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Virtusa and InterSystems Join Forces to Enhance Patient Data Integration

Data interoperability empowers the healthcare system to move away from the outdated transaction model of fee-for-services and prescription volume. Learn how Virtusa’s vLife solution provides a secure platform that supports a variety of use cases. By offering services across abstracted and virtualized platform layers, developers can use vLife to more easily deploy solutions that meet the unique requirements of their specific situation.

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How ClearDATA Enforces Data Locality with AWS IAM Permission Boundaries

For healthcare organizations bound by regulations that require privacy, security, and compliance protections for sensitive healthcare data, ClearDATA provides the peace of mind of automation-forward technology and industry-leading, HITRUST-certified, healthcare-exclusive expertise. Learn how ClearDATA Comply uses the IAM permission boundary feature to automate restricting access to specific AWS regions.

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Helping Healthcare Agencies Without Data Science Skills Get More from Patient Data

Infosys Public Services and AWS have collaborated to develop Infosys Health Insights Platform, an advanced data science platform that helps government healthcare agencies turn multi-source, multi-format data into insights and actions. Its goal is to deliver proactive and targeted interventions to the right people at the right time. This can improve care experience and outcomes across areas like population health management, epidemic management, behavioral health, and substance abuse.

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Using Amazon Comprehend Medical, Sisense, and G-Med to Create an AI-Enhanced Knowledge Base to Combat COVID-19

As COVID-19 began to sweep the globe, organizations of all shapes, sizes, and missions sought every available tool in the fight to save lives and limit the scope and spread of the pandemic. One of the key tools at their disposal was data. G-Med, the world’s largest online medical community, teamed up with AWS Competency Partner Sisense to make a plethora of COVID-19 treatment protocols easily analyzed and searchable using AWS machine learning technologies.

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How SF Medic Provides Real-Time Clinical Decision Support Using AWS Machine Learning Services

The healthcare industry is experiencing a global shortage of doctors, nurses, and other healthcare professionals. Telemedicine, which provides primary healthcare services to patients through remote connectivity, is one approach for addressing this challenge. SourceFuse developed an easy-to-use and secure telemedicine application called SF Medic that can be adopted by hospitals, clinics, and even single-physician practices.

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How the AWS Cloud Cuts HITRUST Cost, Complexity, and Timelines 

Long and costly, the journey to HITRUST certification can distract teams from other responsibilities and goals. But choosing the right partner can accelerate the process by up to 50 percent, reducing your overall investments of money and internal resources. Learn how HITRUST certification helps healthcare providers, payers, and technology companies stay on top of HIPAA regulations, and how using AWS simplifies and streamlines the HITRUST certification process.

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