Rad AI secures $50M for radiology workflow platform and more digital health fundings

Rad AI secures $50M for radiology workflow platform and more digital health fundings

GenAI radiology workflow company Rad AI announced it secured $50 million in Series B funding led by Khosla Ventures, bringing the company’s total raise to more than $80 million.

WiL (World Innovation Lab) participated in the round, alongside existing investors OCV Partners, Gradient Ventures (Google’s AI-focused fund), Kickstart Fund and ARTIS Ventures. 

Rad AI offers radiologists generative AI tools to help streamline workflows, such as physician dictation and follow-up care management. 

“At Rad AI, we’ve built the most widely adopted generative AI solutions in healthcare, saving physicians time and improving patient care,” Doktor Gurson, cofounder and CEO at Rad AI, said in a statement. “Rad AI has become a mission-critical part of health system workflows over the past five years. This strategic funding round further cements our position as the leading AI-driven workflow platform in healthcare.”

Milwaukee-based Sift Healthcare, a provider of healthcare payments and revenue cycle-management services, has secured $20 million in a Series B funding round.

B Capital led the round, with participation from existing investors First Trust Capital Partners, Allos Ventures and Rock River Capital. 

The company offers its AI-enabled Payments Intelligence Platform to help care organizations connect clinical and payment data, and see where clinical inputs and financial outcomes merge. 

Sift will use the funds to expand its team and grow its AI technology. 

“With the support of B Capital, Sift is well-positioned to scale our Payments Intelligence Platform in new and existing markets and expand our impact within the revenue cycle, transforming how providers use their data to optimize payment outcomes,” Justin Nicols, founder and CEO of Sift Healthcare, said in a statement. 

In-House Health, which offers an AI-powered scheduling and management platform for nursing teams, announced it raised $4 million in seed funding led by TMV and NEA, bringing its total raise to $5.4 million.  

Pre-seed investors Longevity Venture Partners and Vine Ventures participated in the round. 

The company offers AI technology to help healthcare providers and hospitals with staffing workflows, including anticipating shift changes and identifying patterns of bedside care. 

The aim is to shorten hours spent on scheduling and reduce labor costs in order to help nursing teams work more efficiently. 

“While there have been prior attempts to disrupt this market, we believe In-House’s focus on cutting reliance on third-party agencies and offering real-time clinical demand prediction is unique,” Blake Wu, partner at NEA, said in a statement. “We view this as a prime opportunity to back a category-defining clinical workforce optimization company and are excited to watch In-House lead the way in modernizing hospital staffing.”

OptMyCare, an AI-enabled analytics and risk stratification company focused on chronic conditions, garnered $3 million in Series A funding in a round led by LiveOakVentures, bringing its total raise to $4.5 million. 

The company’s algorithms analyze procedures and claim costs associated with 55 chronic-condition diagnoses to help patients, payors and providers identify and mitigate risks, improve workflow and decrease healthcare costs.   

The funding will allow the company to proceed with its customer-acquisition plans, improve its technology, expand its management team and add members to its board.

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