Provider Selection Still Runs on Google, Not Data

Healthcare has spent the past few years pouring artificial intelligence into the exam room. Ambient scribes draft notes, algorithms flag abnormal scans, and decision support nudges treatment. Yet one of the most consequential choices a patient makes, which provider to see, still runs on the same tools people use to pick a restaurant: Google searches, star ratings, and word of mouth, according to Healthcare Dive.

That gap matters in practice. Provider directories are notoriously outdated, online reviews skew toward bedside manner over clinical outcomes, and patients rarely have access to data on volume, specialization, or results for their specific condition. The mismatch can send people to the wrong specialist, delay care, and drive avoidable costs for payers and employers footing the bill.

The takeaway for operators and investors: provider matching is a rare corner of healthcare where AI and structured data have not yet delivered. Closing it means connecting quality metrics, claims history, and patient needs into recommendations that go beyond a five-star average.