Consultation Follow Up Demo
Patients may attend or request a private consultation but delay booking diagnostics or treatment because the next step, cost, timing or information needed is unclear.
The patient gets a clear, supportive follow-up that invites them to discuss questions and next steps with the clinic team without receiving clinical advice in the message.
Watch the demo walkthrough
This short video explains what this automation does and why it matters.
Follow up with a patient who attended or requested a private consultation but has not booked the next step. Identify remaining questions, timing, cost concerns and the best follow-up action.
Please do not enter real customer, patient, client or case information. Use sample data only.
Demo result
Recommended next action
Why this matters commercially
Best conversion angle
Suggested reply
Service interest
Questions the team should ask
Short summary
Confidence
Recommended next action
Quote status
Likely objection
Best follow-up angle
Suggested reply
Internal summary
Questions the team should ask
In a live setup, this could connect to:
- website forms
- shared inboxes
- Google Sheets
- ad lead forms
- internal team alerts
Want this tailored to your business?
Want this connected to your private consultation follow-up process?
Request tailored demoWhy this workflow matters
A consultation follow-up often happens when a patient has spoken with the clinic but is still unsure about the next step. They may need information about timing, cost, documents, referral details or how to share information securely before deciding whether to proceed. This demo shows how Jemima AI can organise the follow-up so the clinic team knows what the patient needs clarified.
- Patients may leave a consultation with practical questions about next steps, timing or costs.
- Follow-up messages may include sensitive health context and should be handled carefully.
- The clinic needs to know whether the blocker is cost, availability, documents, referral information or uncertainty about the process.
- Patients may ask how to share information securely, which should be routed to approved clinic channels rather than open messaging.
- The AI should summarise the follow-up and suggest a safe response, while clinical advice and next-step decisions remain with the clinic team.
Example workflow walkthrough
A patient sends a message after an orthopaedic consultation saying they are interested in the next step.
The message mentions a possible scan or follow-up appointment and asks about likely cost, timing and how to share relevant information securely.
Jemima AI extracts the consultation type, possible next step, cost question, timing concern, secure information-sharing need and contact details.
It identifies the message as a warm consultation follow-up because the patient is actively asking how to proceed.
It suggests a careful reply that offers clinic team contact and avoids asking for sensitive details in an open message.
What the business receives
The clinic receives a practical consultation follow-up summary. The team can see what consultation took place, what next step was discussed, and what the patient needs before deciding. This helps the clinic respond with the right process information while avoiding unsafe document handling or automated clinical advice.
- Consultation type Orthopaedic consultation
- Possible next step Scan or follow-up appointment
- Main questions Likely cost, timing and how to share relevant information securely
- Readiness Warm consultation follow-up
- Contact details captured Email and phone available
- Recommended team action Clinic team should contact the patient, explain the next-step process, discuss approved secure information-sharing options and confirm booking or pricing details according to clinic policy
- Suggested reply Thanks Michael, we have your follow-up message. I can ask the clinic team to explain the likely next-step process, timing, cost information and the approved way to share any relevant information securely. Would you prefer a call or an email summary?
How this could be implemented
This can be connected to consultation follow-up emails, patient enquiry forms, CRM tasks, call summaries or clinic inboxes. In a live clinic, the workflow should create a follow-up task, flag secure information-sharing needs and route the message to the appropriate team. It should not request medical documents through open messaging, provide clinical advice, interpret symptoms, confirm pricing or book treatment automatically without clinic review.