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“Only an 8? Not a 10 today?” Gamed HealthCare Surveys

Interaction Metrics

What’s going on with Providence’s healthcare surveys? At the end of the 25-minute interaction, the employee asked, “So, how would you rate your satisfaction with the Providence healthcare system today? And I think Providence is a great healthcare system overall. Seems unlikely. Seems more likely.

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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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Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake

AWS Machine Learning

Healthcare data is complex and siloed, and exists in various formats. We store the final output in Fast Healthcare Interoperability Resources (FHIR) compatible format in Amazon HealthLake , making it available for downstream analytics. The proposed solution doesn’t require the deployment and maintenance of server infrastructure.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning

Overall, $384 billion is projected as the cost of pharmacovigilance activities to the overall healthcare industry by 2022. The other data challenge for healthcare customers are HIPAA compliance requirements. Dr. Adewale Akinfaderin is a senior data scientist in Healthcare and Life Sciences at AWS.

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

AWS Machine Learning

The EventBridge model registration event rule invokes a Lambda function that constructs an email with a link to approve or reject the registered model. The Lambda function dynamically constructs an email for an approval of the model with a link to an API Gateway endpoint to another Lambda function. AI/ML, GenAI and Data Analytics.

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Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

AWS Machine Learning

AWS CDK constructs are the building blocks of AWS CDK applications, representing the blueprint to define cloud architectures. Studio construct file. The Studio construct is defined in the sagemaker_studio_construct.py This AWS CDK construct serves the following functions: Creates the Studio domain ( SageMakerStudioDomain ).

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The Role of Medical Sign Language Interpreters

Certified Languages International

Communication barriers in healthcare settings can leave patients feeling unheard or confused about their care. From initial consultations to informed consent and post-operative care, medical sign language interpreting services serve a vital function to healthcare providers and deaf patients.