The Administrative Gap in Healthcare: A New Frontier for AI
A significant portion of the discourse surrounding artificial intelligence (AI) in healthcare often emphasizes its role in diagnostics and drug discovery. However, there’s a less visible yet crucial aspect of the system that directly impacts whether patients receive timely care: the administrative hurdles that arise between a primary care doctor’s referral and a specialist’s appointment. This gap, while largely overlooked, is substantial, persists despite the increasing number of healthcare professionals, and is drawing attention from investors eager to reform the process.
The Human Element Behind Basata
Kaled Alhanafi, a former executive at Lyft and Cruise, and Chetan Patel, who spent a decade with Medtronic developing cardiac devices, co-founded Basata after grappling with this very issue. Their experiences brought personal urgency to the launch of this startup, which aims to streamline the referral and scheduling process in healthcare.
For Patel, the stakes became personal during a significant incident when his wife fainted on a flight with their young children. Despite his extensive knowledge in cardiology and familiarity with medical devices that could help her, he found that navigating the complex administrative process for timely care was an overwhelming challenge. “We have the best doctors, we have some of the best medicines, but the care gap is just so wide,” he reflected, highlighting the inefficiencies within the system.
Alhanafi’s personal experience was similarly frustrating when his father was referred to three different cardiology clinics following a serious diagnosis of a carotid artery issue. Shockingly, only one clinic responded within two weeks, another contacted them post-surgery, and the third has yet to reach out. These instances aren’t isolated; many individuals attempting to consult specialists can attest to the lengthy delays and convoluted administrative processes.
Basata: Bridging the Care Gap
Founded two years ago in Phoenix, Basata addresses these administrative challenges head-on. When a referral arrives—still often via outdated methods like fax—Basata’s system promptly reads and processes the documents, extracts the necessary clinical details, and deploys an AI voice agent to contact the patient for appointment scheduling.
In addition to scheduling, patients can engage with an AI agent available around the clock to handle common inquiries like prescription renewals. Alhanafi shared that many patients are genuinely surprised by the quick follow-up they receive after a referral, aiming for a scenario where appointments are set before they even leave the parking lot after their primary care visit.
Integration and Growth
Basata integrates seamlessly with various electronic medical record systems utilized by different specialties, which is why the founders are carefully expanding, focusing on cardiology first and then branching into urology. They recently opted against a lucrative deal in an unfamiliar specialty to maintain the integrity and quality of their services.
The company’s revenue model is usage-based, charging practices per document processed and per call handled rather than employing a flat fee model. To date, Basata has processed referrals for approximately 500,000 patients, 100,000 of which occurred in the last month alone.
Backing and Competition
To date, Basata has raised a total of $24.5 million, including a recent $21 million Series A round led by Lan Xuezhao of Basis Set Ventures. With a track record spanning corporate strategy roles at McKinsey and Dropbox, Lan brings significant expertise to the investment table. Notable investors like Aileen Lee from Cowboy Ventures and Victoria Treyger, a former partner at Felicis Ventures, have also contributed to this round.
The challenge in this space is intensifying, with competitors like Tennr, a New York-based startup that has raised over $160 million, expanding their offerings in document intelligence and patient communications. While Basata focuses on a comprehensive workflow tailored to specific specialties, the competition is fierce, and scalability may become increasingly challenging as more players enter the field.
The Future of AI in Healthcare Administration
One central question surrounding AI’s role in healthcare is its impact on human jobs. While Basata claims its technology will augment the work of administrative staff rather than replace them, leaders in the field remain vigilant. Many healthcare administrators have decades of experience and are often overwhelmed by the sheer volume of tasks, leading them to welcome AI solutions.
Basata’s approach aims to alleviate some of the pressure on administrative workers by handling the most repetitive aspects of their responsibilities, subsequently allowing them more time to focus on patient care. Notably, approximately 70% of Basata’s new contracts are generated through word-of-mouth referrals, indicating that healthcare professionals appreciate the tangible benefits of their service.
Pictured above: Chetan Patel, co-founder and president of Basata; Kaled Alhanafi, CEO; and Vivin Paliath, co-founder and CTO.
As we navigate the complexities of healthcare, innovative solutions like Basata offer hope for reducing administrative burdens and improving patient experiences. For a deeper dive into this promising development, check the full article Here.
Image Credit: techcrunch.com
