Why can’t you get your doctor to call you back?

Much of the discussion surrounding AI in healthcare focuses on the diagnosis and discovery of drugs or visits between doctors and patients. But the invisible part of the system affects whether the patients are actually seen, and it has nothing to do with the number of doctors in the world (too few) and more with the administrative work (too many) that happens between the general doctor of the hospital writing the referral and the specialist’s office to get the patient on the list. That opportunity, it turns out, is huge, stubborn, and attracting a lot of attention from venture capitalists.

Kaled Alhanafi, former CEO of Lyft and Cruise, and Chetan Patel, who spent a decade building cardiac devices at Medtronic, co-founded. Basata after everyone faced a problem directly.

For Patel, the story became personal when his wife collapsed on a plane with their young children. Even with his extensive knowledge of heart disease and the equipment that can help him, he says navigating the process to get the right care took longer than it should have. “We have the best doctors, we have the best medicine, but the difference in care is huge,” he said.

Alhanafi describes what happened to his own father, who was sent to three cardiologists after a severe carotid artery disease. According to Alhanafi, only one returned after several weeks. Someone answered after the operation had already taken place. The third still hasn’t called.

These are not unusual results, as almost anyone who has tried to see a therapist in recent years can attest. A specialized system that receives mailers often processes hundreds or thousands of documents – many arriving by fax – with small administrative teams. Practices lose patients not because they don’t want to see them, the company argues, but because they can’t get past that.

Basata, which was founded two years ago in Phoenix, is trying to fix this. When the sender comes in – still with the fax, alas – Basata’s system reads and processes the document, extracts the necessary medical information, and then the AI ​​voice assistant calls the patient directly to prepare.

Patients can also call the practice at any time and reach an AI assistant who can answer questions or handle routine administrative needs such as medication updates. Alhanafi says the company has amazing patient records and how quickly they arrive after referrals. The goal, he says, is for the patient to have time to prepare when they get to their car in the parking lot after seeing their general practitioner.

The company integrates with medical imaging systems used by specialists, so it says it will move carefully – cardiology first, then urology – rather than trying to serve every corner of the market at once. Founders say they recently turned down a lot of specials that they haven’t developed enough to be confident they’re doing well.

Revenue systems are based on usage: systems pay for every document processed and call made, not per seat. The company says it has processed nearly 500,000 patient referrals so far, with nearly 100,000 of those in the last month alone.

Basata says it has raised $24.5 million, including a $21 million Series A round led by Lan Xuezhao of Basis Set Ventures, who started his career modeling the human brain as a PhD researcher before moving into corporate technology at McKinsey and Dropbox and eventually making money. Cowboy Ventures, founded by Aileen Lee, also participated, as did Victoria Treyger, a former Felicis Ventures partner who recently pitched her company, Sofeon (this is her first investment).

The place is starting to fill up. Tennr, a New York-based startup founded in 2021, has raised more than $160 million to date — including from Andreessen Horowitz, IVP, Lightspeed, and Google Ventures — and is now the most valuable. $605 million. Tennr focuses on document intelligence and claims to have developed similar language models trained on millions of medical records. Assort Health, backed by Lightspeed, focuses on connecting with patients over the phone for specialty services and last year went public. The cost of $ 750 million.

Lee said his startup over the years has been useful in an environment crowded with competitors who are making more money. “There are a lot of (VCs) chasing high school dropouts and college dropouts, but when you sell in medicine, trust is a big thing,” he said. “These doctors want to look you in the eye and know they can trust you.”

Meanwhile the founders of Basata argue that their differentiation lies in combining all the capabilities into one sequence for a specific task rather than creating a tool that only works in one area. This may be difficult to sustain as high-income competitors increase, but there is a market signal here.

Of course, like many AI companies that currently do human jobs, Basata will eventually face the difficult question of where the line is between adding workers and firing them. For now, the founders say the workers they work with are not worried; he is very worried about drowning. Yes, Al-Hanafi say that the workers in special cases have usually been in their positions for many years and know the work well; They are also buried where no sufficient number of hires can be taken.

Whether AI will simply expand what these workers can do or gradually make many of their jobs redundant is a question that has a big impact on healthcare. Meanwhile, Basata’s philosophy is classic: that freeing managers from repetitive tasks makes them better. Judging by one statistic Alhanafi shared — that 70% of the company’s new sales now come through word of mouth — it appears that those closest to the issue find the argument convincing.

Pictured above, from left to right: Chetan Patel, co-founder and president of Basata; Kaled Alhanafi, CEO of the company; and Vivin Paliath, the company’s third co-founder and CTO.