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10 Best Practices for Healthcare Call Center

OctopusTech

Healthcare call centers are an integral part of ensuring patient safety and satisfaction. Being the first point of contact between patients and a healthcare organization, the call center handles concerns and inquiries. The agents gain essential skills needed to refine their communication skills a stay current with best practices.

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Top 7 Features to Look for in a Medical Call Center Service

TeleDirect

Top 7 Features to Look for in a Medical Call Center Service Choosing the right medical call center can significantly enhance your healthcare customer service and operational efficiency. 24/7 Availability and After-Hours Support Healthcare doesnt stop at 5 p.m., 24/7 Availability and After-Hours Support Healthcare doesnt stop at 5 p.m.,

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Best practices to build generative AI applications on AWS

AWS Machine Learning

For example, a healthcare company can continue to pre-train its model using medical journals, articles, and research papers to make it more knowledgeable on industry terminology. For more details about training LLMs on SageMaker, refer to Training large language models on Amazon SageMaker: Best practices and SageMaker HyperPod.

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The Role of Training in Preparing Call Center Teams for Success

TeleDirect

healthcare, finance) 5. Product updates Policy changes Performance-based training Industry trends and best practices Best Practices for Effective Call Center Training Successful training programs are structured, engaging, and adaptable. Here are best practices to implement: 1.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. It’s also a best practice to collect any extra information that would be shared with the agent in a production system.

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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.