marcoslice.com
MarcoSlice
Slice through patient churn.
Summary
An AI-powered retention automation platform for telehealth clinics that uses voice transcription from each appointment to automatically schedule follow-ups, generate accurate billing, and trigger personalized re-engagement for at-risk patients.
Target Audience
Retention-focused telehealth clinic operators managing multi-provider practices with at least 500 patient visits per month.
Economic Engine
Per-active-patient-per-month subscription fee, starting at $2/patient/month, with volume tiers and premium integration support.
Point of Difference
Unlike general CRMs or patient engagement platforms that rely on manual data entry, MarcoSlice automatically generates retention actions from the actual conversation of each visit, requiring zero additional clinician effort.
Problem Statement
Retention-focused telehealth clinic operators lose up to 40% of potential revenue because patients miss follow-ups, clinicians underbill due to incomplete documentation, and disengagement goes undetected until it's too late. Manual follow-up processes are labor-intensive and inconsistent, scaling poorly as patient volume grows.
Solution
AI audio transcription of telehealth sessions, natural language processing to extract key medical findings and patient sentiment, automated generation of follow-up tasks and reminders, integration with EHR and billing systems to capture all billable services, and a dashboard that highlights patients with high churn risk based on engagement patterns.
Core Value Proposition
Increase patient lifetime value by 40% and reduce no-show rates by 60% within 90 days by automating the entire post-visit retention workflow.
Killer Features
- Auto-Follow-Up: After each session, the system drafts a personalized follow-up message based on the conversation and sends it on a schedule.
- Sentiment Alerts: Real-time detection of patient dissatisfaction or confusion during the call triggers immediate outreach.
- Billing Code Extraction: Automatically generates CPT codes from the transcript, reducing underbilling.
- Churn Risk Score: Each patient gets a risk score based on visit frequency, sentiment, and engagement with reminders.
Pros
- Directly reduces revenue leakage from missed follow-ups and underbilling.
- Requires no additional work from clinicians; runs in background.
- Scalable from single clinic to multi-site operations.
- Integrates with major telehealth platforms via API.
Cons
- Requires access to audio streams, which may have compliance hurdles (HIPAA).
- Accuracy of sentiment analysis and billing code extraction may need tuning per specialty.
- High dependency on integration quality with existing EHR/EMR systems.
- Some clinics may be hesitant to rely on AI for clinical documentation.
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