Hi everyone, I've been thinking about something that I believe many clinics struggle with. Following up with patients after they leave the clinic. A patient finishes their appointment... They go home... And then one of three things usually happens: - They forget part of their treatment plan. - They still have symptoms but don't reach out. - They have a question, but nobody checks in with them. Reception staff already have enough on their plate, so manually following up with every patient just isn't realistic. I spent some time building a simple AI workflow to solve this, and here's how it works: 1. Once an appointment is marked as completed, the workflow waits 24 hours. 2. It automatically sends a personalized follow-up email asking how the patient is feeling. 3. If the patient replies, AI classifies the response (Improving, Needs Attention, Has a Question, or Emergency). 4. If attention is needed, the clinic is notified immediately. 5. If the patient doesn't reply, the workflow sends one reminder before closing the follow-up. 6. Every interaction is logged automatically, so the clinic has a complete record. The goal isn't to replace doctors or make medical decisions. It's simply to remove repetitive administrative work so healthcare professionals can focus on patient care. I'm still refining the workflow, but I thought I'd share the idea in case it helps someone who's building automations for healthcare. If anything is unclear or you have suggestions to improve it, I'd love to hear your thoughts. 🙌

Most clinics believe they answer “almost all” their calls. But industry call-analytics providers (Ruby, Tidio, GoAnswer) consistently show: “Small healthcare clinics miss between 25% and 45% of their inbound calls.” And here’s what most clinics never account for: 1. After-hours calls A significant number of new-patient enquiries come in: - Evenings - Lunch breaks - Saturdays/Sundays - Holidays If no one answers, people simply call the next clinic. 2. During hours when staff are busy Even during normal opening times, calls go unanswered because: - The chiropractor is in treatment - The receptionist is with a patient - They are processing payments - They are already on another call This is the single biggest “invisible leak” in most clinics. Example Clinic Inputs - 15 calls per day - 30% missed (industry average) - Some additional missed calls after hours - 15% of calls = genuine new-patient enquiries - LTV of a chiropractic patient: $400–$600 USD But what does this mean? 1. Missed calls per month 15 × 30% × 26 = 117 missed calls/month (Actual number is higher when you include after-hours calls.) 2. Missed new-patient opportunities 117 × 15% ≈ 18 new patients lost per month 3. Missed revenue 18 × $450 LTV = $8,100/month≈ $97,200/year Across typical clinics, the realistic range is: $50,000–$150,000 per year lost from missed calls, slow responses, and no coverage during or outside working hours. This is the easiest growth lever clinics ignore. No new marketing. No new ads. Just capturing demand that already exists. If you want me to run your exact number using your call volume and hours: Comment CALC If you want the online calculator: Comment LINK

Are missed calls costing your clinic patients you'll never know you lost? Every unanswered enquiry. Every no-show. Every lapsed patient who quietly disappeared - these aren't just inconveniences. They're revenue walking out the door. The good news: there are practical AI solutions that exist right now, already running in real clinics. 🔹 Missed new patient calls - captured automatically, even out of hours 🔹 No-shows - proactively contacted and offered a rebook before the slot is lost 🔹 Overloaded front desks - bookings, reminders, intake forms, and follow-ups handled 🔹 Lapsed patients - reactivated with the right offer at the right time I'm Martin Foster - AI Solutions Architect with 30 years of software engineering experience, including systems built for NHS Digital, Health Education England, and Connecting for Health. I've spent the last few years applying that background specifically to private healthcare practice management. The tools I share are already running in real clinics today. On this channel I cut through the noise: ✅ Automate the full patient journey - from first enquiry to rebooking ✅ Reduce no-shows with intelligent outreach ✅ Reactivate lapsed patients with personalised offers ✅ Free your front desk from the admin grind ✅ Stay fully GDPR-compliant, always with a human in the loop No AI slop. No gimmicks. Just practical tools for clinics that want fuller appointment books and fewer headaches. 👇 Follow for weekly insights on AI tools built specifically for private healthcare clinics. #AIforClinics #HealthcareAI #PrivatePractice #PatientExperience #ClinicManagement #MedicalAI #HealthTech

The Ordinary World: €10k lost monthly to no-shows. The Call: “That’s a car every month.” The Refusal: Shrug. “That’s how it is.” The Mentor: I propose AI reminders. The Threshold: Skeptical "yes?...". The Tests: Patients reply “Thanks!” The Enemies: Staff fear replacement. The Approach: First full month report due. The Ordeal: He opens it, bracing. The Reward: No-shows cut in half. The Road Back: He announces it at staff meeting. The Return: Clinic thrives. Hero made one brave choice. 👉 Comment “quest” if you want your own saga!

The Ordinary World: Tuesday morning. Empty waiting room chairs. Three no-shows. The Call: “Why don't they turned up??” The Refusal: Receptionist sighs: “Patients forget. It’s life.” The Mentor: Somebody whispers: “AI doesn’t forget.” The Threshold: He tests it. Nervously. The Tests: Patients thank him for reminders. Staff cheer. The Enemies: His old voicemail machine sulks. The Approach: Friday evening chaos looms. The Ordeal: Phones ringing. AI calmly books. The Reward: No-shows halved. The Road Back: Accountant notices. Smiles. The Return: Clinic feels alive again. 👉 Comment “chairs” if this sounds familiar.