Geriatric practice intake is unusual because the person asking the questions is often the adult child or caregiver, not the patient. They are juggling power of attorney, multiple specialists, complicated medication lists, recent hospitalisations, and questions about what a geriatrician actually does that the primary care physician does not. SleekAI handles this intake pattern cleanly, reading your geriatrician bios, your assessment pages, and your care coordination services from WordPress and answering caregiver questions while keeping the clinical decisions where they belong.

The clinical boundary is enforced consistently. The bot does not diagnose dementia, frailty, or any other condition; does not interpret medication lists for appropriateness; does not recommend stopping, starting, or changing any medication; does not interpret recent hospital discharge summaries. Every clinical question routes to a consultation with the geriatrician. For acute changes (sudden confusion, fall with injury, signs of stroke, breathing difficulty) the bot directs the caregiver to call 911 or go to the ER.

Caregiver-specific intake matters here. The bot captures patient age, living situation (independent, with family, assisted living, memory care), current diagnoses provided by caregiver, recent hospitalisations, primary concern (memory, mobility, multiple medications, falls, end-of-life planning), and POA status. Custom fields on each geriatrician (memory and dementia, polypharmacy, falls and mobility, palliative integration, home visits) drive specialty matching so the right family lands with the right geriatrician.

Geriatric medicine is the rare specialty where the person initiating the intake is usually not the patient. Adult children, spouses, and other caregivers make the first call, navigate the practice website, and decide whether to book based on whether the practice seems to understand what they are dealing with: a parent on eleven medications after three hospitalisations in eighteen months, a spouse showing early cognitive changes the family is still processing, a 90-year-old recovering from a hip fracture who needs care coordination across cardiology, neurology, and primary care. A generic chatbot has no language for any of this and a generic intake form misses most of the relevant context.

SleekAI handles the pattern correctly. The bot captures caregiver context (relationship, POA, attendance), patient context (age, living situation, recent hospitalisations, current diagnoses, primary concern), and matches to the right geriatrician using custom fields on each provider profile. Home-visit routing is built in for mobility-limited patients who would otherwise book an office visit and cancel; the bot confirms geographic coverage before scheduling.

The clinical boundary is uncompromising: no medication review, no diagnostic claims, no discharge-summary interpretation, no treatment recommendations. Those decisions belong to the geriatrician at the comprehensive assessment, which is the entire point of the practice. Acute-change signals route to 911 or the ER before any intake flow.

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. The result is a front door that speaks the language adult children and caregivers actually use, captures the context the geriatrician needs at the visit, routes home-visit cases correctly, and books the comprehensive assessment that is the practice's core service, all without ever stepping into the clinical decisions that belong to the geriatrician.