Navigating payment processes from the over 1,000 insurance providers in the United States presents a significant challenge for healthcare professionals and facilities.
Each insurer might require different details for medical claims, even when it concerns identical procedures. Claims submitted incorrectly can lead to denials, which necessitate the manual resubmission process and can result in payment delays.
Nick Perry, co-founder and CEO of Candid Health, states that the majority of medical claim denials Stem from traditional billing systems that are failing to adapt to the increasingly complex landscape of healthcare.
Perry launched Candid Health in 2019 after five years with Palantir, aiming to streamline the medical billing process by automating claims submissions and reducing the need for manual input by billing teams.
The company has rapidly gained traction among a variety of telehealth providers, such as Allara, Nourish, and Talkiatry, and has recently started to include larger physician groups in its clientele. In 2024, Candid’s revenue surged by nearly 250%.
Investors have taken notice of this swift growth. Recently, Candid announced it had secured $52.5 million in Series C funding, primarily led by Oak HC/FT alongside returning investors. This new round comes just six months after the company’s $29 million Series B financing, which saw contributions from 8VC and previous investors like First Round Capital, BoxGroup, and Y Combinator.
Utilizing insights gained during his time at Palantir, Perry understood the profound impact of data analytics. He explained to TechCrunch that medical billing fundamentally represents a data engineering challenge.
“Existing systems often flag issues with claims, sending them back to providers to resolve,” Perry stated. However, Candid Health asserts it has developed and continually enhances a robust rules engine that facilitates providers in submitting correct claims to insurers from the outset.
While Candid has not yet ventured into generative AI, part of the recent funding will be allocated towards the application of advanced machine learning methodologies. For example, AI has the potential to pinpoint claim types frequently denied by insurers, allowing Candid’s system to rectify those claims prior to submission.
The company may eventually develop an AI-driven feature capable of contacting insurance companies regarding denied claims. However, their primary objective remains to eliminate the need for such communications entirely.
“There shouldn’t be a need for a denial-related phone call,” Perry emphasized. “It’s far more efficient to simply submit the claim accurately the first time around.”
Candid Health finds itself competing not only with outdated billing systems, many of which are developed by electronic health record providers such as Epic and Athenahealth, but also with startups like Apero and Adonis, the latter of which enjoys backing from Point72 Ventures and General Catalyst.
Compiled by Techarena.au.
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