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Healthcare BPO Services: Navigating Success in Healthcare Outsourcing

Global Response

The healthcare industry requires the highest level of precision and customer service. That’s where healthcare BPO services come in. Outsourcing non-essential tasks allows healthcare providers to focus more on patient care and core healthcare functions. What are healthcare BPO services? It’s a win-win.

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Best Practices to Maintain Call Compliance

Calltools

All contact centers should adhere to regulations that advocate data protection and ethical calling practices. Learn some best practices to maintain call compliance in your center below. . The post Best Practices to Maintain Call Compliance appeared first on CallTools. TCPA and DNC Compliance.

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

AWS Machine Learning

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. Regulations in the healthcare industry call for especially rigorous data governance.

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3 best practices for proactive communication

Interactions

If you have an upcoming appointment, a healthcare provider may call you to confirm. But in order to build trust and likeability, there are a few best practices that should be kept in mind. I had missed the call, so when I phoned back they told me to go on the website and update my account information.

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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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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.