UK private clinic patient leakage and owner-evidence example
A transparent synthetic proof-of-work showing how AICloudStrategist maps calls, online booking, web forms, referrals, Doctify-style profile enquiries, WhatsApp, CRM and cancellation workflows into owner-visible patient-growth and evidence queues.
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Honesty label
This is a simulated internal proof-of-work asset. It uses synthetic UK private clinic workflow counts only. It is not a real clinic, patient, patient data, client, production export, medical advice, legal advice, privacy advice, security advice, CQC readiness, UK GDPR compliance attestation, audit certification, appointment booking, ad-platform performance, revenue result, ROI result, testimonial, logo, ranking result, patient acquisition result or clinical-accuracy claim.
Why this asset exists
UK private clinics often receive demand through phone calls, online booking, profile pages, referrals, paid forms, email, WhatsApp and CRM follow-up. This page demonstrates the operating evidence AICS would assemble first: response SLA, source attribution, owner assignment, callback rules, UK GDPR notice evidence, CQC boundary wording, clinical escalation and unresolved queue visibility.
Synthetic input summary
| Metric | Result from synthetic sample | Diagnostic meaning |
|---|---|---|
| Workflow rows reviewed | 10 | Small synthetic sample for demonstrating method, not a real clinic export. |
| Synthetic monthly enquiries | 1,232 | Volume represented across calls, forms, booking links, referrals, profile pages, WhatsApp, CRM and cancellation workflows. |
| Modelled booked consultations in sample | 412 | Synthetic booking field used to show leakage mapping only; not an AICS booking result. |
| After-hours enquiries | 175 | Rows where callback ownership and next-day queueing would need review. |
| Response time above 60 minutes | 10 workflows | Workflows needing response-SLA owner review before more paid demand or automation. |
| Unresolved over 24 hours | 400 | Synthetic unresolved queue used to show owner-dashboard design only. |
Evidence gaps quantified from synthetic rows
| Evidence gap | Synthetic records | Share of sample |
|---|---|---|
| Source attribution gap | 862 | 70.0% |
| Owner assignment gap | 784 | 63.6% |
| UK GDPR notice evidence gap | 1,232 | 100.0% |
| Callback rule evidence gap | 1,232 | 100.0% |
| CQC boundary wording gap | 518 | 42.0% |
| Clinical escalation evidence gap | 221 | 17.9% |
Highest-attention synthetic workflow flags
| Workflow | Channel | Monthly enquiries | Response minutes | Selected flags |
|---|---|---|---|---|
| Cancellations and wait-list recovery | Spreadsheet | 137 | 720 | Source attribution, owner, UK GDPR notice, callback rule and CQC boundary gaps. |
| Aesthetics consultation WhatsApp | 176 | 310 | Source attribution, owner, UK GDPR notice, callback rule, CQC boundary and clinical escalation gaps. | |
| Dental implant advert enquiries | Paid search form | 148 | 240 | Source attribution, owner, UK GDPR notice and callback rule gaps. |
| Private GP new-patient phone queue | Phone | 210 | 95 | Source attribution, UK GDPR notice and callback rule gaps. |
| Follow-up after first consultation | CRM task | 156 | 190 | UK GDPR notice and callback rule gaps. |
| Private diagnostic scan web forms | Website form | 118 | 150 | Owner, UK GDPR notice and callback rule gaps. |
Owner-dashboard proof pack
- Channel inventory for phone, WhatsApp, website, online booking, profile pages, email referrals, paid forms, CRM and cancellation spreadsheets.
- UK GDPR notice, source attribution, callback rule and owner-assignment evidence status by workflow and enquiry volume.
- Patient-growth queue for first response SLA, booked-consult status, unresolved over-24h items and staff ownership gaps.
- Boundary checklist separating operational evidence from medical, legal, privacy, security, CQC and UK GDPR adviser work.
- Escalation map showing clinical-handoff questions and no automated suitability, diagnosis or treatment claims.
- Written approval gate before any real case study, testimonial, logo, patient outcome, booking, revenue or ranking claim.
Reproducible artifact
The source model and generated markdown report are stored internally at /home/agent/.hermes/aicloudstrategist/case-studies/simulated-uk-private-clinic-patient-leakage-growthos-2026-07-13/. Inputs are explicit in sample_uk_private_clinic_workflows.csv; calculations are deterministic and labelled as simulated.
Verification: python3 uk_private_clinic_patient_growthos_diagnostic.py regenerated the report with rows=10, total_enquiries=1232, booked_consults=412, after_hours=175, unresolved_over_24h=400, source_gap_records=862, owner_gap_records=784, uk_gdpr_notice_gap_records=1232, callback_rule_gap_records=1232, cqc_boundary_gap_records=518 and clinical_escalation_gap_records=221. Input SHA256: 5cc6530946bd58ab042e3484f9a47fc8177d9093b0250387f4855473389c5cf6.
Claim boundary
No real UK private clinic, NHS relationship, Patient Access relationship, Doctify relationship, patient, patient data, client, production data, CQC readiness, UK GDPR compliance status, audit attestation, security audit, legal advice, medical advice, privacy advice, security advice, appointment booking, patient acquisition outcome, ad-platform performance, revenue outcome, ROI, regulator outcome, platform partnership, logo, testimonial, ranking or clinical-accuracy claim is made. Real implementation would require explicit scope, data-handling approval, organisation-approved policies, payment route and written authorization before any public proof use.