HiLabs Recognized in Gartner Report for GenAI in Healthcare

Feb 18, 2025
HiLabs has been acknowledged in a Gartner report for its role in advancing Generative AI solutions for healthcare payers, highlighting the transformative potential of AI in administrative functions.
HiLabs Recognized in Gartner Report for GenAI in Healthcare

HiLabs has been recognized in the latest Gartner report, "Predicts 2025: AI Reshapes How U.S. Healthcare Payer CIOs Do Business," announced in a press release. The report underscores the growing adoption of large language models (LLMs) and Generative AI (GenAI) in healthcare payer operations.

HiLabs is highlighted among vendors creating value in this space, attributed to its commitment to innovation in AI. The report notes that GenAI is transforming administrative functions, improving reporting, and enhancing care coordination for healthcare payers. By 2027, GenAI solutions are expected to reduce administrative costs by 30% for most health insurers with over one million members.

Amit Garg, CEO and Co-founder of HiLabs, emphasized the potential of GenAI to streamline claims management, improve patient outcomes, and personalize member experiences. The Gartner research predicts a shift from rule-based systems to AI-driven intelligence, with domain-specific AI models driving the next era of transformation in healthcare operations.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Guide
Specialist Ambient Medical Scribe Vendors

Specialist Ambient Medical Scribe Vendors

AI scribes that turn medical consultations into draft clinical notes

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.