Endocrinology covers a wider range of conditions than most patients realise: diabetes (type 1, type 2, pre-diabetes, gestational), thyroid (hypo, hyper, nodules, cancer), pituitary, adrenal, parathyroid and calcium, polycystic ovary syndrome, transgender hormone management, low testosterone, osteoporosis, and lipid disorders. Patients arrive on practice websites asking very specific questions about whether your clinic offers what they need: CGM and insulin pump training, in-office thyroid biopsy, gender-affirming care, fertility-coordinated PCOS management. SleekAI handles all of it from your published copy.

The clinical boundary is enforced consistently. The bot does not diagnose any endocrine condition, does not interpret lab panels (TSH, A1c, cortisol, testosterone, others), does not recommend medication starts or adjustments (including insulin, GLP-1 agonists, thyroid hormone, hormone therapy), does not advise on diabetes technology settings. Every clinical question routes to a consultation with the endocrinologist. For acute concerns (severe hypoglycaemia, DKA symptoms, thyroid storm symptoms, adrenal crisis suspicion) the bot directs the patient to call 911 or the practice's after-hours line.

Custom fields on each endocrinologist (diabetes technology, thyroid, pituitary, adrenal, transgender care, paediatric endocrine, reproductive endocrine, osteoporosis) drive specialty matching. A pump-curious type 1 patient routes to the diabetes-technology specialist. A patient seeking gender-affirming care routes to the transgender-care endocrinologist. The conversation log lives in WordPress with retention configurable to the records policy.

Endocrinology is the medical specialty most reshaped by patient-facing technology in the last decade. Continuous glucose monitors, hybrid closed-loop insulin pumps, telehealth-friendly hormone management, and patient-controlled data sharing have changed what intake means for the practice. The type 1 patient curious about switching from Omnipod 5 to Tandem t:slim wants to know which pumps the practice supervises and who on the team supervises pump starts.

The hypothyroid patient with a new thyroid nodule wants to know if you do in-office ultrasound and biopsy. The patient seeking gender-affirming care wants to know your approach and whether you require prior letters. The paediatric type 1 family wants to know if you take Dexcom Share invites and whether the CDCES team is involved in routine visits.

SleekAI handles all of it. The bot reads the diabetes technology, thyroid services, gender-affirming care, paediatric, and other service pages from WordPress and answers from your published copy. Custom fields on each endocrinologist drive specialty matching so the right complex case lands with the right specialist on the first booking.

Technology context capture (current CGM, current pump, data sharing workflow) reduces the time the team spends on data wrangling at the visit. The clinical boundary is enforced consistently: no endocrine diagnosis, no lab interpretation, no pump selection, no medication recommendations, no dose adjustments. Those decisions belong to the endocrinologist at the consultation, which is the entire point of the practice.

Acute presentations (severe hypoglycaemia, suspected DKA, thyroid storm, adrenal crisis) route to 911 or the practice's after-hours line before any non-urgent intake. The conversation log lives in WordPress with retention configurable to the records policy, and the HIPAA posture is handled with the right OpenAI configuration and signed BAAs across the stack. The result is a front door that speaks endocrinology's actual technical language, captures the data the endocrinologist needs at the visit, routes complex cases to the right subspecialist, and books the consultation that turns into long-term clinical relationship, all without ever crossing the clinical line.