AI Chatbot for Wound Care Clinics
Help patients and referring providers book visits, understand what to bring, and verify insurance, while routing signs of infection or limb-threatening wounds to 911. SleekAI uses your OpenAI, Anthropic, Google, or OpenRouter key.
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Referrals, intake, and hard escalation when wounds turn serious
Wound care clinics see a population that needs fast, careful handling: diabetic foot ulcers, venous and arterial ulcers, pressure injuries, post-surgical wound dehiscence, traumatic wounds, and burn aftercare. SleekAI is configured to help with the operational layer of that care (referral intake, first-visit booking, prep instructions, transportation logistics) and to refuse anything that resembles wound diagnosis or treatment guidance. The clinic's certified wound care clinicians make those calls at the visit, not a chatbot on a marketing page.
The bot reads your team page so referrals and self-referrals go to the right specialty (diabetic foot, vascular ulcer, pressure injury, post-op, hyperbaric oxygen therapy candidates). It explains what to bring to the first visit using your published intake guide: prior imaging, medication list, recent labs, current dressing changes, and the referring provider's notes. It quotes accepted insurance for clinic visits and routes hyperbaric oxygen therapy coverage to the HBO coordinator, since coverage policies for HBO are intricate and condition-specific.
Escalation is the safety lock. Signs of systemic infection (fever with a wound, spreading redness, foul drainage), wounds with black tissue or exposed bone, sudden severe pain in a previously stable wound, or limb-threatening symptoms route to 911 or the nearest ER. The bot does not estimate severity, does not suggest dressing changes, and does not advise on antibiotics. The escalation is hardcoded and tested before launch.
Workflow
How SleekAI plugs into a wound care clinic site
Hardcode infection escalation
Map specialties and intake
Capture referral context
Audit weekly with the medical director
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A typical wound care clinic conversation
Comparison
Generic chatbot vs SleekAI for Wound Care Clinics
Generic chatbot
- Suggests dressing changes or antibiotics
- Doesn't escalate signs of infection
- Confuses HBO and standard wound care coverage
- Can't match diabetic vs vascular specialties
- Misses referral context handoff
SleekAI chatbot
- Refuses wound assessment and dressing advice
- Escalates infection signs and limb threats to 911
- Books with the right wound-care specialty
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Routes
hbo_coverageto the coordinator - Captures full referral context for intake
Features
What SleekAI gives you for Wound Care Clinics
Infection-first escalation
Spreading redness, fever with a wound, black tissue, exposed bone, sudden severe pain in a stable wound, or any limb-threatening sign routes to 911 or the nearest ER. The escalation is hardcoded, not optional.
Right-specialty matching
Reads your team page so diabetic foot, vascular ulcer, pressure injury, post-op dehiscence, and HBO candidates each book with the appropriate clinician rather than landing in a generic queue.
Referral context capture
Captures the referring provider, prior imaging availability, current dressing, recent labs, and medication list so the clinic team has the chart before the patient walks in the door.
Use cases
Where wound care clinics use SleekAI
On the referrals page
Captures patient and referrer details, asks what's needed for the first visit, and books the appointment with the right wound-care specialty. Reduces phone tag for both sides.
On the appointments page
Books first visits and follow-ups, walks patients through what to bring, and quotes typical visit length. Routes hyperbaric oxygen questions to the HBO coordinator.
After-hours triage routing
Captures inquiries overnight when the front desk is closed and escalates infection-shaped descriptions to 911 without waiting for the morning. Routine bookings queue for Monday.
The bigger picture
Why wound care chatbots must escalate before anything else
Wound care is one of the highest-stakes administrative niches in healthcare. The patient population includes diabetics with foot ulcers that can progress to amputation in days, vascular patients with non-healing ulcers that mask underlying limb-threat issues, and post-surgical patients with dehiscences that signal deeper infection. A generic chatbot that reads a description of a swollen, red, painful wound and offers reassuring possibilities or suggests waiting for the next available appointment creates real harm.
SleekAI is configured for the inverse posture. Infection and limb-threat escalation are the first behaviors baked into the system prompt and the first behaviors tested before launch. Anything that smells like systemic infection or limb threat routes to 911 or the nearest ER without chat triage.
Within that safety boundary the value is substantial. Wound care clinics handle a heavy flow of referrals, first-visit intake, what-to-bring questions, transportation coordination, and HBO coverage triage, and most of that work is routine administrative volume that ties up the front desk for hours each day. The bot takes the routine inquiries with the right tone, captures referral context, books with the right specialty, and routes anything clinical to the visit.
It also serves non-English-speaking patients and patients with caregivers calling on their behalf. Combined with multibot routing for public patients and referring providers, the result is a chat surface that quietly raises both safety and access at the same time. The clinical work stays human, the chat stays administrative, and the conversation log lets the medical director audit the escalation posture every single week.
Questions
Common questions about SleekAI for Wound Care Clinics
No. Dressing selection, frequency, debridement, antibiotic guidance, and any wound management decision are explicitly refused. The bot routes those questions to the clinical line, the patient portal, or to the on-call wound care clinician. For signs of infection or limb threat, the bot routes immediately to 911 or the nearest ER. The refusal is enforced in the system prompt and tested before launch.
Spreading redness, fever with a wound, foul drainage, increased pain in a previously stable wound, black tissue, exposed bone, and any sign of systemic infection trigger an immediate routing to 911 or the nearest emergency room. The bot does not estimate severity or attempt to rule things in or out. The escalation is the first behavior tested before go-live with a standard distress-prompt set.
It can describe what HBO is at a high level from your published patient education and the conditions for which your clinic offers it. Coverage policies for HBO are intricate (specific condition, prior conservative therapy duration, documented diabetes status, etc.) and the bot routes coverage questions to the HBO coordinator who handles prior authorization. The bot does not make HBO eligibility decisions or estimate session counts.
Yes. Diabetic foot ulcers, venous ulcers, arterial ulcers, pressure injuries, post-surgical dehiscence, and burn aftercare are handled by different clinicians on most teams. The bot reads your team page so each patient books with the right specialty rather than the next-available slot. This matters: diabetic foot patients need a different evaluation cadence than venous ulcer patients, and pressure-injury patients often need home-care coordination on top of clinic visits.
Yes. The bot captures the referring provider name, contact, the reason for referral, and the patient's contact details, then sends a structured handoff to your intake team. Where you have a referral form on the site, the bot points referrers there. Where the referrer prefers chat, the bot collects the same fields and emails or webhooks the package to intake.
Many wound-care patients have mobility challenges or rely on caregivers and transportation services. The bot describes what your clinic offers (in-clinic visits, telehealth follow-ups where supported, home-care partnerships) from your published content. It can capture transportation needs at booking and route to your care coordinator, without inventing services the clinic does not offer.
HIPAA compatibility is a stack decision, not a plugin feature. SleekAI uses your own API key (OpenAI, Anthropic, Google, or OpenRouter). For US clinics handling PHI, a HIPAA-eligible OpenAI configuration with a signed BAA, encryption at rest on the WordPress database, role-based access on logs, and BAAs across the stack are required. The plugin gives you the building blocks; the compliance posture is yours.
Yes. SleekAI is multibot. Configure one bot for the public site that focuses on patient intake, and a separate bot on a referring-provider portal with clinical-shorthand tone, referral-form details, and direct booking flows for established providers. Display conditions pin each bot to the right area. Both bots share the same hard escalation on infection or limb-threatening signs.
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