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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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Call Center Agent Feedback: Tips & Best Practices for Providing Effective Agent Feedback

Callminer

To empower call center leaders to improve agent feedback, we’ve rounded up 25 tips and best practices for delivering effective agent feedback. Check out some more information about agent performance from our vault here: Expert Tips & Best Practices for Effective Agent Feedback. Don’t forget the basics.

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Telemarketing Appointment Setting Best Practices-Part 3

Quality Contact Solutions

One of our good segments is construction. The NAICS code for construction starts with 23. By narrowing down to the type of construction, we can get better results. Single family home construction companies (NAICS 236115) don’t tend to have employees that travel. This is just one example. Create a Model, Validate and Test.

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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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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. This development approach can be used in combination with other common software engineering best practices such as automated code deployments, tests, and CI/CD pipelines. Studio construct file.

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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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