AI Chatbot for Dietitians
Answer questions about MNT, insurance coverage, and conditions you treat, then book the visit - while leaving every clinical decision to the RD. CPT codes, plan rules, and referral capture all encoded in the prompt.
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Insurance coverage for MNT changes by plan and by code
Most dietitian websites lose hours every week answering the same insurance question: does my plan cover MNT for diabetes, and how many visits am I getting? The answer changes by plan, by diagnosis, by year, and by CPT code. SleekAI reads the rules you maintain in WordPress as custom fields and quotes them accurately - UHC PPO covers three hours of 97802 and 97803 in the first year for diabetes, BCBS varies by employer group, Aetna handles the same codes differently for kidney disease. No more retyping the policy every Tuesday.
It refuses individual nutrition advice categorically. Carb targets, eating plans, supplement recommendations, medication-related guidance - all routed back to the RD at the visit. The system prompt enforces the refusal and the bot tests it on edge prompts before launch. That posture protects the practice's billing legitimacy: MNT is a billable medical service, not a chat-window meal plan.
For everything bookable, the intake gets cleaner. The bot asks for the referring physician, the diagnosis code on the referral, recent labs, current medications, and a three-day food log if available. Each booking arrives at the RD with the structured prep already attached. Sara Cohen RD opens her chart on Tuesday at 9am and the work has already been done.
Workflow
How an MNT practice deploys this without billing risk
Encode CPT and time-based billing
Map plan rules
Tag specialties
Build the intake
Try it now
A typical Dietitians conversation
Comparison
Generic chatbot vs SleekAI for Dietitians
Generic chatbot
- Suggests carb targets without seeing labs
- Doesn't know your in-network plans
- Can't quote MNT CPT codes accurately
- No structured intake for the RD
- No way to scope to clinical pages only
SleekAI chatbot
- Refuses individual nutrition advice
- Knows MNT CPT codes and plan coverage rules
- Captures conditions, labs, and medications for prep
- 28+ display conditions
- Multibot for clinical vs corporate work
Features
What SleekAI gives you for Dietitians
MNT-aware
Configure CPT codes, time-based billing, and plan-specific coverage as data, and the chatbot quotes them accurately for any condition you treat - diabetes, kidney, GI, oncology.
Referral capture
The bot asks for the referring physician, diagnosis code, and recent labs, then attaches the structured intake to the booking for cleaner clinical handoff.
Specialty routing
Diabetes, GI, eating disorders, oncology, kidney disease - tag each RD's specialties in custom fields and the bot books the right clinician for the referral reason.
Use cases
Where Dietitians use this chatbot
On the conditions treated page
Explains what MNT looks like for each diagnosis, the typical session count, and books the right RD based on the patient's specific referral reason.
On the insurance page
Quotes plan-specific MNT coverage rules, names CPT codes, and tells patients to verify benefits with the number on the card before the visit.
On the new patient page
Walks referral patients through paperwork, the labs to bring, the food log template, and what to expect in the sixty-minute initial.
The bigger picture
Why MNT-aware chat protects the practice's billing model
Medical Nutrition Therapy is a billable medical service tied to specific CPT codes, time-based billing, and plan-specific coverage rules that change by employer group and by year. A generic chatbot that quotes "most plans cover MNT" is doing the practice a quiet disservice: it sets the wrong expectation, fields the wrong calls, and obscures the real work of verifying benefits before the first visit. SleekAI does the opposite.
It reads your maintained plan rules as data, quotes 97802 and 97803 by name, names the typical hour allowances per diagnosis, and explicitly tells the patient to call the number on the back of the card to verify before the visit. That language matters - it sets the practice up for a clean intake and a covered claim instead of a surprise denial. For everything else, the bot refuses individual nutrition advice and routes to the RD.
The combination is what a real MNT practice needs: literacy on the billing side, refusal on the clinical side, and a clean handoff in between.
Questions
Common questions about SleekAI for Dietitians
No. SleekAI is configured to refuse individual nutrition advice and route everyone to a real MNT visit with a registered dietitian. Carb targets, meal plans, supplement guidance, medication-related advice - all stay with the RD. The refusal protects the practice's billing model and keeps the bot on the right side of state credentialing rules.
 Yes, when you store plan coverage rules as custom fields. The chatbot reads them into the prompt and quotes UHC, Aetna, BCBS, and Cigna distinctly - hours per year, diagnosis-specific limits, pre-authorisation requirements. It also tells patients to verify with the card before the visit, which keeps everyone out of surprise-denial territory.
 Yes. Tag each dietitian's specialties (diabetes, GI, eating disorders, oncology, kidney) and the bot suggests the right one based on the patient's referral reason. A diabetes referral gets routed to the RD with the CDCES credential; an eating disorder referral routes to the RD with that scope.
 Yes, in your WordPress database with retention you control. Calls to the model use your own OpenAI API key directly, so no third party sits between your patients and the model. The conversation log gives the RD context for every booked intake.
 Yes. SleekAI is multibot, so the telehealth section can have its own chatbot scoped to remote care - confirming state licensure rules, telehealth platform, and any plan-specific telehealth MNT coverage that differs from in-person.
 Yes. The 28+ display conditions cover post type, URL, template, and user role, so you can keep the chatbot off the educational blog and the free recipe content. Most practices show it on conditions, insurance, new-patient, and contact pages and hide it everywhere else.
 The bot is configured to recognise eating disorder language and route to your RD with that scope, or to specialist resources you publish if no in-house clinician handles them. It does not engage with restrictive eating questions, does not quantify intake, and does not validate goal weights. That posture is enforced in the system prompt.
 Indirectly. SleekAI does not write into Practice Better, Healthie, or your EHR directly. It captures the referral, the diagnosis, the plan, and the intake details, then emails or webhooks the structured handoff to your team. The RD or biller confirms in the system the same way they would for a phone referral.
 Pricing
More than 1000+
happy customers
Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.
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