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Reshaping Healthcare Support: How Automation Answered Patient Care Challenges

SmartAction

The healthcare landscape underwent a profound transformation in the aftermath of the COVID-19 pandemic, reshaping the traditional roles of Interactive Voice Response (IVR) systems and contact centers. In response to this seismic shift, healthcare organizations rapidly adapted to the new reality, leveraging technology in innovative ways.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. In a healthcare setting, this would mean giving the model some data including phrases and terminology pertaining specifically to patient care.

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VoIP phone systems for healthcare: A key to better patient experience

JustCall

Healthcare is one industry that has transformed the most in the past few years. Although the industry was a reluctant adapter for change, circumstances during and post the COVID-19 pandemic have made it imperative for healthcare to embrace the modern world. The answer: by adopting an advanced and efficient phone system.

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Automate prior authorization using CRD with CDS Hooks and AWS HealthLake

AWS Machine Learning

Prior authorization is a crucial process in healthcare that involves the approval of medical treatments or procedures before they are carried out. This process is necessary to ensure that patients receive the right care and that healthcare providers are following the correct procedures. Submit the request for prior authorization.

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AWS Cloud technology for near-real-time cardiac anomaly detection using data from wearable devices

AWS Machine Learning

The COVID-19 pandemic made organizations change healthcare delivery to reduce staff contact with sick people and the overall pressure on the healthcare system. This technology enables organizations to deliver telehealth solutions, which monitor and detect conditions that can put patient health at risk. About the Author.

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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The approver approves the model by following the link in the email to an API Gateway endpoint. API Gateway invokes a Lambda function to initiate model updates.

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