NextGen Healthcare Appoints Gautam Shah to Lead AI Product Strategy

By AIM · AIM Media House

NextGen Healthcare has appointed Gautam “G” Shah as Chief Product and Strategy Officer, bringing in a healthcare technology executive with experience in AI, clinical operations, and revenue cycle management as the company expands its AI-powered ambulatory care platform.

According to the company's announcement, Shah will oversee product strategy and portfolio development across NextGen's healthcare technology offerings, with responsibility for advancing AI capabilities, modernizing core platforms, and improving experiences for providers, staff, and patients.

The appointment comes as ambulatory care providers face ongoing workforce shortages, reimbursement pressure, administrative burdens, and growing demand for digital patient services. Healthcare technology vendors have increasingly focused on AI-enabled automation and workflow tools to address those challenges.

"As we continue advancing our vision to simplify the business of ambulatory care through AI-powered and cloud-based solutions, G's experience and forward-thinking leadership will be instrumental," Srinivas "Sri" Velamoor, President and CEO of NextGen Healthcare, said in the announcement.

AI Becomes a Larger Part of Ambulatory Care Platforms Shah joins NextGen from Carelon, where he served as Chief Product Officer and led product strategy across analytics, behavioral health, clinical care, data platforms, utilization management, revenue cycle management, and AI-driven solutions.

His arrival coincides with NextGen's broader effort to expand AI capabilities throughout its platform. The company has introduced several AI-based tools in recent years, including NextGen Ambient Assist, an ambient documentation solution designed to generate clinical notes and assist with coding and workflow tasks.

NextGen has also expanded Ambient Assist with AI-powered diagnosis code recommendations and order management capabilities.

The focus on documentation and workflow automation mirrors a broader trend across healthcare organizations adopting AI-generated clinical documentation tools to reduce administrative workloads and clinician burnout.

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