Recover lost revenue:

Leverage Artificial Intelligence to automate your revenue cycle

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In this report, you will learn:

Unique revenue cycle challenges created by COVID-19
Key drivers of wider adoption of revenue cycle automation
4 action steps you can take now to leverage artificial intelligence
The 9 best use cases for revenue cycle AI

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A time to innovate and automate

As health organizations continue to navigate their way through the COVID crisis, an increasing number are turning to intelligent automation, which consists today primarily of three distinct technologies: artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA). Each of these complimentary technologies has a part to play in an effective automation strategy. These three each have their strengths and weaknesses, as well as ‘sweet spots’ in solving critical problems in revenue cycle today. Individually or in concert, they are being used by leading healthcare organizations to address some of the biggest pain points in revenue cycle management. Blending the right intelligent automation technologies can create a transparent, seamless patient experience while leading to increased revenue capture and integrity.

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About Hinduja Global Solutions (HGS)

A global leader in business process management (BPM) and optimizing the customer experience lifecycle, HGS is helping make its clients more competitive every day. HGS combines technology-powered services in automation, analytics and digital transformation with deep domain expertise focusing on back office processing, contact centres, traditional and digital customer care, and HRO solutions to deliver transformational impact to clients. Part of the multi-billion-dollar conglomerate Hinduja Group, HGS takes a true “globally local” approach, with over 41,110 employees across 59 delivery centres in seven countries.