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How to Write an After-Call Survey Script

Fonolo

Let’s say your customers are patients at a healthcare facility. You might have a carefully crafted questionnaire or script for your after-call survey. Review restrictions to avoid potential legal issues, especially if you are working in a healthcare setting. Sample After-Call Survey Script. Keep that in mind.

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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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The Case For the Anti-Script: A Multifactor Analysis of Script Adherence

Balto

“The anti-script doesn’t mean that you should wing it on every call… what anti-script means is, think about a physical paper script and an agent who is reading it off word for word… you’re taking the most powerful part of the human out of the human.” Share on Twitter. Share on Facebook.

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Medicare scripts: Radically improve call center performance

Dialer 360

Medicare scripts are a starting point to sound more genuine and make more sales efficiently. When making contact with customers, a script helps you to define your services and product effectively. The problem with current call center performance in the healthcare industry. This is where Medicare scripts can come in handy.

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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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How to Prepare for CMS Test Call Season

CSM Magazine

Clarify their roles, goals, and performance expectations so they know exactly what’s expected of them and how they can contribute during CMS test season. Train teams to recognize the signs that a call is actually a test call—for example, overly scripted language or formulaic questions. Furnish agents with informational scripts.

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Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

AWS Machine Learning

In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job.

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