Why Your Doctor Never Returns Your Calls

Much of the conversation around artificial intelligence in healthcare centers on high-tech diagnostics, drug discovery, or the doctor-patient interaction itself. Yet a far less glamorous, deeply frustrating bottleneck determines whether patients ever get an appointment at all. The core issue isn’t simply a shortage of physicians; it’s the crushing burden of administrative work that sits between a primary care doctor writing a referral and a specialist actually seeing the patient. This gap is vast, stubbornly manual, and increasingly drawing the attention of venture capitalists who see a massive opportunity.

Kaled Alhanafi, a former executive at Lyft and Cruise, and Chetan Patel, who spent a decade developing cardiac devices at Medtronic, founded Basata after each experienced this problem firsthand. For Patel, the moment came when his wife fainted on a flight with their young children. Despite his deep expertise in cardiology and the specific devices that could help her, navigating the administrative maze to get her proper care took far longer than it should have. “We have the best doctors, we have some of the best medicines, but the care gap is just so wide,” he said.

Alhanafi had a similar experience with his own father, who was referred to three cardiology groups after a serious carotid artery diagnosis. Only one group called back within a couple of weeks. Another responded after the surgery was already completed. The third has yet to call. These stories are not anomalies. Specialty practices routinely receive hundreds or thousands of documents, most still arriving by fax, and manage them with small administrative teams. Basata argues that practices lose patients not because they don’t want them, but because they cannot clear the intake backlog.

Founded two years ago in Phoenix, Basata aims to solve this. When a referral arrives, the system reads and processes the document, extracts the relevant clinical data, and then an AI voice agent calls the patient directly to schedule the appointment. Patients can also call the practice at any hour and speak with an AI agent that answers questions or handles common tasks like prescription renewals. Alhanafi says the company has recordings of patients audibly surprised by how quickly they are contacted after a referral. The goal, he says, is for a patient to have a scheduled appointment by the time they reach their car in the parking lot after seeing their primary care doctor.

The company integrates with the electronic medical record systems that specific specialties actually use. That is why it has moved carefully, starting with cardiology and then urology, rather than trying to serve every market at once. The founders recently turned down a large deal in a specialty they had not mapped thoroughly enough to feel confident doing well. Basata’s revenue model is usage-based: practices pay per document processed and per call handled, not per seat. The company says it has processed referrals for roughly 500,000 patients to date, with about 100,000 of those occurring in the last month alone.

Basata reports raising $24.5 million in total, including a new $21 million Series A round led by Lan Xuezhao of Basis Set Ventures. Cowboy Ventures, founded by Aileen Lee, also participated, along with Victoria Treyger, a former general partner at Felicis Ventures who recently launched her own firm, Sofeon (this is its first investment).

The space is getting crowded. Tennr, a New York-based startup founded in 2021, has raised over $160 million from investors including Andreessen Horowitz, IVP, Lightspeed, and Google Ventures, and is now valued at $605 million. Tennr focuses on document intelligence and has built proprietary language models trained on tens of millions of medical documents. Assort Health, backed by Lightspeed, focuses on automating patient phone communication for specialty practices and raised funds last year at a $750 million valuation.

Lee said the founders’ years of experience are a significant asset. “There are a lot of VCs chasing around high school drop-outs and college drop-outs, but when you’re selling to medical practices, trust is a really big deal,” she said. “These doctors want to look you in the eye and know that they can count on you.” Basata’s founders argue that their differentiation lies in combining both document processing and patient communication into a single end-to-end workflow tailored to specific specialties, rather than building a tool that handles just one part of the process. That may be harder to sustain as better-funded competitors expand, but the market signal is clear.

Like many AI companies automating work that humans currently do, Basata will eventually face a harder question about where the line is between augmenting workers and displacing them. For now, the founders say the administrative staff they work with are not worried about that; they are more worried about drowning. Alhanafi notes that these staff members have often been in their roles for decades and know the work intimately, but they are buried in a volume that no reasonable number of hires could fully absorb. Whether AI merely expands what these workers can do or gradually makes many of their functions unnecessary is a question that applies well beyond healthcare. For now, Basata’s pitch is the former: that freeing administrators from the most repetitive parts of the job makes them better at the rest of it. Judging by one stat shared by Alhanafi, that 70% of the company’s new deals now come through word of mouth, it seems the people closest to the problem find that argument convincing.