AWS Partner Network (APN) Blog

Category: Healthcare

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How hc1 Turns Lab Data into Personalized Health Insights Using AWS Serverless

Since 2011, hc1 has emerged as a bioinformatics leader in precision testing and prescribing. The hc1 platform built on AWS organizes live data, including lab results, genomics, and medications, to deliver solutions ensuring the right patient gets the right test and right prescription at the right time. Learn how hc1 ingests, organizes, and normalizes customer data to deliver analytics and improve operations management. As an outcome, customers use these insights to their fullest potential.

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How Provectus Built a High-Load Data Quality Pipeline on AWS for Lane Health

Provectus developed a comprehensive data quality assurance (Data QA) solution that it offers customers as a blueprint for assuring data quality. Learn how Provectus built a high-load data quality pipeline on AWS for Lane Health’s data platform, while meeting the requirements for rapid innovation, performance, security, and cost-efficiencyLane Health gained the ability to track if and when its data deteriorated during transformation and understand the quality of data, and to explore and detect weak spots in data.

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Leveraging Amazon Transcribe and Amazon QuickSight to Extract Business Intelligence from Call Center Data

Many organizations record calls which are potential gold mines of rich insights about customer satisfaction, customer churn, competitive intelligence, service issues, agent performance, and campaign effectiveness. However, the sheer volume of phone calls exceeds a contact center’s ability to review and analyze them in order to glean those valuable insights. Learn how SourceFuse used custom microservices development to design a call center solution for a healthcare customer.

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Data De-Identification in Healthcare: A 360-Degree View from Apexon

In the healthcare industry, the exchange of data incurs risks as it contains personally identifiable information (PII) and protected health information (PHI). At the same time, not exchanging the data can keep valuable insights hidden. Apexon’s data anonymization and de-identification solution uses sophisticated machine learning algorithms to ensure the exchange of data happens without any risk of PII/PHI being exposed, while allowing organizations to meet compliance and regulatory requirements.

Secure Healthcare Scheduling with Amazon Pinpoint and TensorIoT

Through a broad network of physicians, Care Connectors Medical Group keeps patients up to date on their medical examinations and provides medical services without requiring office visits. Learn how TensorIoT leveraged Amazon Pinpoint and other AWS services to give CCMG a HIPAA-compliant system capable of handling scheduling and routing for their clients. The system helped CCMG to replace outdated cold calling methods, freeing up customer service agents to handle more complex customer issues.

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Proactive Patient Engagement with Infosys Digital Health Platform

Infosys Digital Health Platform is a connected health platform powered by AWS and is designed to help patients lead a healthy life. It achieves this through regular and in-depth insights on a patient’s daily habits and streaming of vital health parameters from different connected devices. It also tracks symptoms and quality-of-life indicators. With this information, the platform analyses data for multiple therapeutic areas and provides necessary insights.

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Maintaining a Health and Wellness Repository with a Blockchain-Based Health Monitoring Solution

The Health and Wellness Repository is a blockchain-based web application developed by PwC India’s Blockchain Laboratory, in collaboration with PwC Japan. The application enables employees’ health status to be securely and efficiently shared with their organizations, allowing enterprises to monitor and manage physical visits. The solution helps organizations address the post-pandemic challenges of employees physically visiting workplaces.

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Using Amazon Comprehend Medical with the Snowflake Data Cloud

Healthcare customers use Snowflake to store all types of clinical data in a single source of truth. One method for gaining insights from this data is to use Amazon Comprehend Medical, which is a HIPAA-eligible natural language processing service that uses machine learning to extract health data from medical text. Learn how the Snowflake Data Cloud allows healthcare and life sciences organizations to centralize data in a single and secure location.

View Amazon HealthLake FHIR Data Using Clarity by Cognosante

Healthcare customers are adopting fast healthcare interoperability resources (FHIR) as a way to exchange healthcare information in a secure and compliant manner. Aligning on a common data model streamlines healthcare application development and the adoption of machine learning. Learn how to visualize and navigate FHIR data on AWS by using eSante Clarity, Cognosante’s FHIR viewer. Clarity can access FHIR data on AWS and navigate the clinical dataset within.

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Experience Digital’s Purpose-Built Assessment Tool Created Using AWS Lambda

Given the sensitive nature of the data capture process within the health landscape, humanizing the experience when digitizing information is crucial, with a keen focus on a personalized user experience not to be compromised on. The key lies in the approach taken to design and deliver on the fundamental capabilities of serverless architecture. Learn how Experience Digital converted offline resources into a broadscale digital toolset for MedHealth as part of a roll-out across Australia.