Thoracic surgery is one of the highest-stakes consumer healthcare decisions in the United States. A patient diagnosed with stage I lung cancer is choosing between a robotic lobectomy, a VATS lobectomy, and an open thoracotomy with three different teams across two health systems. The research arc is measured in weeks, and patients read every surgeon page they can find, paying close attention to annual case volume, procedure mix, and minimally invasive expertise.

SleekRank reads a sheet of thoracic surgeons with slug, name, board certification, procedures performed (lobectomy, VATS, robotic lobectomy, segmentectomy, esophagectomy, mediastinoscopy), annual volume per procedure, hospital affiliations, multidisciplinary tumor board membership, accepted insurance, and city. Each row renders through a WordPress base page so /thoracic-surgeons/dr-helena-kovacs-robotic-lobectomy-cleveland/ surfaces procedure badges, volume stats, hospital pills, and insurance acceptance.

Procedure focus is the column that drives intent. Map proceduresPerformed as a JSON array, render it as a badge strip, and generate per-procedure hubs at /thoracic-surgeons/robotic-lobectomy/{city}/ for patients seeking minimally invasive lung cancer surgery. The cache refresh covers new attending hires; row removal cleanly retires a page when a surgeon leaves the practice.

Thoracic surgery patients run one of the most research-intensive consumer healthcare decisions in medicine. A new lung cancer diagnosis converts a patient into a researcher overnight, and the research focuses on procedure choice and surgeon volume more than on almost any other surgical field. Volume matters here because the literature on thoracic surgery outcomes shows a clear correlation between annual case volume and complication rates, and patients learn this quickly from peer support groups and oncology forums.

Approach matters because robotic lobectomy, VATS lobectomy, and open thoracotomy have meaningfully different recovery profiles, and a patient with a sedentary office job will weigh tradeoffs differently than a patient who is still farming. Hospital affiliation matters because a surgeon embedded in a multidisciplinary tumor board offers something a solo private practitioner cannot. A faceted hospital directory that exposes all of this on a single URL cannot rank for the combination queries patients actually run, and patients land on inadequate pages and bounce.

A sheet-driven directory makes procedure mix, volume, hospital affiliation, and tumor-board participation first-class data, then slices them with URL patterns so the lobectomy patient in Cleveland lands on the page that names the three surgeons who match. The credentialing system stays the source of truth, and the public directory becomes a downstream consumer of clean, current data.