The Doctor Directory Problem Was Already Fixed—Just Not In The Way Everyone Thought
The real problem isn't maintaining accurate directories but enabling transactions. Once a system can truly book appointments, each transaction auto-corrects like Wikipedia rather than becoming an outdated encyclopedia the moment it's published.
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The real problem was never accurate directories—it's completing transactions
Oliver argues the doctor directory problem was solved long ago. Traditional directories function like repeatedly republished encyclopedias—obsolete the moment they go live. But once a system can actually complete appointment bookings, each transaction becomes self-correcting like Wikipedia: errors occur once, then auto-correct. This insight is why ZocDoc has spent twenty years building infrastructure integrating hundreds of scheduling systems.
— OliverWhat a clinic's sticky note workaround taught ZocDoc about integration
Early on, ZocDoc kept getting cancellations from one clinic. Investigating, they found the doctor had told his office manager ‘I'm off Friday’ in person, so the manager stuck a Post-it on the monitor—never entered it into the EHR. They fixed thousands of these "one-percent solutions" over years before EHR integration became reliable. Oliver jokes that 3M is actually ZocDoc's biggest competitor.
— OliverNo company should own healthcare's primary entry point
Oliver opposes the walled-garden logic of "lock in patients and win." Healthcare isn't a building where you trap patients inside and lock the doors—it's a city where patients seek different entries based on current need: ER for acute cases, specialists for rare diseases, primary care doctors for conditions requiring long-term continuity. So ZocDoc built open infrastructure for all entry points rather than funneling bookings to its own site.
— OliverMore AI assistants means ZocDoc becomes infrastructure, not a destination
AI assistants like Gemini make patient information more personal and actionable—but information can't book appointments, which is where ZocDoc fits. Since entry points are multiplying exponentially, doctors can't integrate individually with each AI platform. ZocDoc's promise: doctors connect once, availability distributes everywhere, with no requirement that bookings occur on ZocDoc's own app or site.
— OliverPayers can integrate without rewriting their own systems
After partnering with payers like Blue Shield of California, members book directly on the payer's directory with minimal implementation cost for the payer. Since ERs cost 10 to 12 times more than office visits with worse outcomes, getting patients to book primary care faster delivers direct savings—which is why after one use case lands, other teams inside the payer approach ZocDoc to expand.
— OliverZocDoc's pricing model needed regulatory approval to work
ZocDoc initially charged doctors flat subscription fees, but volume variance meant some felt overcharged and others undercharged. After explaining the platform's value to patients, doctors, and payers, regulators approved a model where ZocDoc charges only on discovery bookings—new doctors matched after patient search—while referrals to named doctors stay free. This model means 97% of doctors who signed up in the past 12 months came unsolicited.
— OliverNational wait times are rising while ZocDoc's are falling
The national average wait to see a primary care doctor has deteriorated from 17 days when ZocDoc launched to 31 days today, but through ZocDoc it averages under 3 days. The reason: doctors accumulate cancellations and no-shows creating last-minute slots. Drawing from airlines, where load factors rose from 60% in the 1970s to 90%+ after internet booking became standard, doctors currently run just under 70%—and ZocDoc captures that unused capacity.
— OliverQuick availability doesn't indicate low-quality doctors
When critics ask if 3-day waits mean low-quality doctors, Oliver counters: the best doctors often have worse utilization because their patients cancel more due to hectic lives, and doctors won't overboo to compensate. He cites a medical school dean booked out three months who nearly requested removal, yet still accommodated roughly 40 same-day squeeze-ins through ZocDoc in a month. The platform's admission bar also exceeds state medical boards, with unqualified doctors removed.
— OliverIn their own words · checked verbatim
When you put out a provider directory, frequently you're in the business of publishing the Encyclopedia Britannica, right? By the time you're able to really put it out there and present it to patients, it's already out of date.
Oliver3:17
We used to joke that 3M was our biggest competitor because of post-it notes.
Oliver7:24
Because healthcare isn't like a building where you lure the patient in and you slam the door shut behind them. It's a lot more like a city, right?
Oliver8:26
In e-commerce, you buy and travel, you book. In healthcare, you're blocked.
Oliver10:32
When we got started, there was roughly 17 days, the average wait time nationwide, to see a primary care doctor. Now it's 31 days. However, using ZocDoc, you can see a doctor typically within three days or less, right?
Oliver28:24
Like, airplanes used to fly 60% full, but that was in the 70s. With the advent of the internet, we had the kayaks and the Expedias and the bookings.com, and now airplanes have a load factor of over 90%.
Oliver28:24
the best doctors tend to have the worst utilization because they frequently treat patients that have very busy lives and cancel on them more often than they don't double book.
Oliver30:30
Figures
| Time to build cross-institutional scheduling infrastructure | 20 years | 4:18 |
| Out-of-the-box EHR integrations | 175+ | 5:18 |
| Doctor data accuracy | 99%+ | 3:17 |
| Medical specialties covered | 250 | 16:53 |
| Return visits to same doctor within specialty | ~75%-80% | 11:34 |
| New doctor signups from word of mouth (past 12 months) | 97% | 25:20 |
| National average wait for primary care | 31 days | 28:24 |
| Average wait through ZocDoc | Under 3 days | 28:24 |
| ER cost compared to office visit | 10-12x | 22:13 |
| Doctor appointment slot utilization | Just under 70% | 29:25 |
Glossary
- EHR
- Electronic health record system—the clinic software managing patient data and schedules that ZocDoc must integrate with individually.
- Stark Law and Anti-Kickback Statute
- US federal regulations limiting financial incentives in medical referrals; determine what ZocDoc can charge per transaction.
- Discovery booking
- An appointment generated when patients search broadly and get matched to a new doctor; ZocDoc charges only on these, not referrals to established doctors.
- Load factor
- Metric borrowed from aviation: the proportion of a doctor's available appointment slots that get actually booked.
How to listen
Founders and investors focused on healthcare technology, AI agent ecosystems, or partnerships with healthcare payers.
Opening pleasantries and guest background (0:00-1:05).