AI Chatbot for Concussion Clinics
Capture head-injury context, route patients to the right neurologist or concussion specialist, and book the evaluation without diagnosing severity. BYO key (OpenAI, Anthropic, Google, or OpenRouter), strict clinical boundaries on every reply.
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Concussion intake is time-sensitive but high-liability
Concussion patients arrive on a clinic website with one of two urgencies: a fresh injury within the last 24 to 72 hours, or a lingering post-concussive presentation weeks or months later. Both pathways need an evaluation, both need different intake context, and both need the same uncompromising clinical boundary: no diagnosis, no severity grading, no return-to-play clearance from a chatbot. SleekAI handles the operational side cleanly while routing every clinical question to a licensed concussion specialist.
The system prompt enforces three refusals. The bot does not diagnose concussion or rule one out, does not interpret symptom severity, and does not clear any athlete or patient to return to school, work, or play. It does recognise red-flag language (worsening headache, repeated vomiting, unequal pupils, increasing confusion, seizure) and routes immediately to the ER or 911. Beyond that, it captures intake context for the evaluation: mechanism of injury, loss of consciousness, current symptoms, prior concussions, school or sport context.
Specialty matching is critical because concussion care often spans neurology, sports medicine, vestibular therapy, and neuropsychology. Tag each provider with their concussion role in custom fields, and the bot routes accordingly. A vestibular patient lands with the vestibular therapist. A persistent post-concussive case lands with the neurologist. A youth-sports concussion routes to the sports concussion specialist. The conversation log lives in WordPress with retention configurable to your records policy.
Workflow
How SleekAI runs concussion intake safely
Screen red flags first
Capture mechanism
Route by specialty
Book the evaluation
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Concussion clinic chatbot in action
Comparison
Generic chatbot vs SleekAI for Concussion Clinics
Generic chatbot
- Guesses at concussion severity from chat
- Misses red-flag symptoms requiring ER
- Doesn't route between neurology, sports, and vestibular
- Can't capture mechanism of injury context
- No log for the clinical team to review pre-visit
SleekAI chatbot
- Refuses concussion diagnosis and severity grading
- Recognises red flags and routes to ER or 911
- Routes between neurology, sports, and vestibular by specialty
- Captures mechanism, prior concussions, and current symptoms
- Conversation log stored in WP for pre-visit review
Features
What SleekAI gives you for Concussion Clinics
Red-flag routing
The system prompt is configured to recognise red-flag symptoms (worsening headache, repeated vomiting, unequal pupils, increasing confusion, seizure) and route to the ER or 911 before continuing any intake or booking flow.
Multi-specialty routing
Concussion care spans neurology, sports medicine, vestibular therapy, and neuropsychology. Custom fields per provider drive matching so the right case lands with the right specialist on the first booking.
Hard clinical boundary
Configured to refuse diagnosis, severity grading, return-to-school clearance, return-to-play clearance, and medication advice. Every clinical question routes to a real evaluation regardless of how it is phrased.
Use cases
Where concussion clinics use SleekAI
On the new-injury page
Walks acute-injury patients (last 24-72 hours) through red-flag screening, captures mechanism of injury, and books an evaluation. Routes confirmed red flags to the ER instead of attempting a clinic booking.
On the return-to-play page
Explains what a return-to-play evaluation involves without making any clearance decision. Captures sport, level, current symptoms, and time since injury for the sports concussion specialist.
On the persistent-symptom page
Handles patients weeks or months out from injury with lingering symptoms. Captures duration, symptom pattern, prior treatment, and routes to the neurologist or neuropsychologist depending on presentation.
The bigger picture
Why concussion intake needs strict boundaries
Concussion is the highest-stakes injury category in outpatient sports and neurology because the symptoms are non-specific, the consequences of missed red flags can be catastrophic, and return-to-play decisions carry real liability for both clinician and clinic. A generic chatbot that tries to triage by chat (is this a concussion, how severe is it, when can my kid go back to practice) creates exactly the wrong dynamics: false reassurance for cases that need an ER, premature clearance for athletes who need a graduated protocol, and a documentation trail that makes any subsequent incident look much worse in retrospect. SleekAI takes the opposite approach.
The bot screens for red flags before any other intake, routes confirmed red flags to the ER or 911, and refuses every diagnostic or clearance decision. Within that boundary, the operational value is substantial. Concussion clinics often span multiple specialties (sports medicine, neurology, vestibular therapy, neuropsychology) and the right pathway depends on the presentation: acute sports cases to the sports concussion specialist, persistent post-concussive cases to the neurologist, vestibular presentations to the vestibular therapist, paediatric cases to the paediatric specialist.
The bot reads custom fields on each provider profile and routes conversationally, which means the parent of a youth football player gets to the right provider on the first booking. 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. Display conditions keep the bot on the evaluation and provider pages and off the educational blog where the visitor is reading rather than booking.
The result is a front door that screens for danger, captures clean clinical context, and books the right specialist, all without ever attempting to do the clinician's job.
Questions
Common questions about SleekAI for Concussion Clinics
No. SleekAI is configured to refuse concussion diagnosis and severity grading. Concussion is a clinical diagnosis that requires examination, symptom inventory, and balance and cognitive testing, none of which can be replicated in a chat. The bot will not tell a patient whether they have a concussion, will not estimate severity, and will not predict recovery timeline. Those determinations belong to the concussion specialist at the evaluation.
 The system prompt enumerates red-flag symptoms (worsening headache, repeated vomiting, unequal pupils, increasing confusion, seizure, neck pain after blunt trauma, anticoagulant use plus head injury) and is configured to route directly to the ER or 911 when they appear. The red-flag check runs before any intake or booking flow. We recommend a visible disclaimer in the widget header so patients know the channel's scope and that red flags require emergency care.
 No. Return-to-play decisions follow a graduated protocol that must be supervised by a clinician with documented examination findings, and the decision belongs to the concussion specialist at the visit. The bot can describe what a return-to-play evaluation involves at your clinic and what protocols you follow, but it will not make any clearance decision and will not provide a timeline. The same applies to return-to-school decisions.
 Yes. Tag each provider with their concussion role (sports concussion, paediatric concussion, persistent post-concussive, vestibular, neuropsychology) in custom fields. The bot matches based on the patient's presentation: an acute sports concussion routes to the sports concussion specialist, a 6-month persistent post-concussive case routes to the neurologist, and a vestibular-symptoms case routes to the vestibular therapist. The matching is driven by your data, not a generic prompt.
 Yes. Mechanism of injury, time since injury, loss of consciousness duration, current symptoms (headache, photophobia, phonophobia, nausea, balance issues, cognitive slowing), prior concussions and recovery, sport or activity at time of injury, and school or work context. All captured conversationally rather than through a long form, then attached to the booking so the clinician walks into the room with the context already organised.
 In your WordPress database under your control. Retention is configurable through the plugin; most concussion clinics set 30 to 60 days. For US clinics handling PHI, you need a HIPAA-eligible OpenAI configuration, signed BAAs with every vendor in the stack, encryption at rest, and access controls on log readers. SleekAI provides the building blocks; HIPAA posture is a stack-wide concern, not a single-plugin guarantee.
 Yes. Paediatric concussion intake has different needs: parent or guardian consent, school context (current grade, accommodations), sport and team context, growth and development factors. The bot can branch on the paediatric concussion page to capture those details and routes to the paediatric concussion specialist. It will not make any age-specific clinical recommendations, which stay with the specialist at the visit.
 Yes, when you have a workers comp intake page. WC cases have different documentation requirements: employer, date of injury, claim number, adjuster contact, and the specific WC-approved provider list. The bot can capture those details and routes accordingly. Clinical care is identical; the documentation and billing pathway is what differs, and the bot keeps them organised for your front desk.
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