Missed calls, intake chaos, and post-visit confusion hurt both your front desk and your bottom line. Our Patient Assistant handles all of it—24/7.
The Patient Assistant answers calls, DMs, and chats—booking patients automatically.
The Assistant collects triage info conversationally—on web, phone, or social.
Patients ask about hours, services, paperwork, and insurance nonstop. The Assistant answers instantly—24/7—without pulling staff off critical tasks.
The Assistant sends personalized reminders, confirmations, and directions—across SMS, email, and chat—reducing no-shows and late arrivals.
From scheduling and reminders to FAQs and follow-ups, staff spend hours on tasks that could be automated. The Assistant handles all inbound patient interactions—so your team can focus on care.
Calls go unanswered. Messages pile up. Patients give up or book with another provider. The Patient Assistant replies instantly on every channel—so no opportunity is lost.
- Answers every call, text, and message instantly—day or night
- Converts web visitors and DMs into booked appointments
- Increases patient acquisition by covering all inbound channels
- Conversational onboarding captures patient history and triage info in advance
- Removes paperwork and manual data entry from your front desk
- Reduces appointment delays, errors, and check-in friction
- Sends automatic reminders, instructions, and links
- Keeps patients on track for labs, medications, and consults
- Improves outcomes and revenue by reducing drop-off
- Handles FAQs, appointment booking, and basic support
- Saves hours per day in phone time and repetitive tasks
- Lets staff focus on meaningful, high-value interactions
BitLab specializes in helping medical professionals convert medical insights into compliant, investor-ready healthtech platforms.
and 40+ others
A busy multi-provider clinic was struggling to respond to the volume of inbound inquiries—calls, website forms, and even DMs on Instagram and Facebook. Patients often waited on hold for over 8 minutes or got no response at all after messaging the clinic.
The front desk team couldn’t manage all channels at once. New patient leads dropped off, frustrated by the lack of response. The clinic estimated they were losing 3–5 potential patients daily.
- Estimated $15,000/month in lost appointment revenue
- 1 in 3 patients said they “gave up and went elsewhere”
- Staff burnout and high turnover at the front desk
The AI would have:
- Answered inquiries 24/7 via phone, chat, and social DMs
- Automatically scheduled qualified leads
- Routed urgent or unique requests to staff inboxes
→ Increased new patient conversion
→ Faster response times across all channels
→ Reduced burnout and turnover for admin staff
Parents of new patients often showed up without completing required intake forms. This caused check-in delays, rescheduling, and frustration—especially for busy working families juggling school drop-offs.
Manual PDF forms weren’t mobile-friendly. Many parents forgot to fill them out, leading to a 20% delay rate in scheduled visits and frequent front-desk bottlenecks.
- 15–20 minutes added per visit for intake correction
- Increased appointment reschedules and parent dissatisfaction
- Lost time for medical assistants and nurses
The AI would have:
- Sent mobile-friendly, conversational intake flows via text or email
- Collected complete histories and insurance details in advance
- Confirmed intake completion prior to arrival
→ Faster check-in and happier parents
→ Fewer reschedules and smoother clinic flow
→ More time for clinical staff to focus on care
Patients were frequently missing lab appointments, medication pickups, or follow-up visits. The front desk tried to call them manually, but lacked the time or tracking system to stay consistent.
Drop-offs led to lower revenue, poor outcomes, and patient complaints. The clinic had no system to close the loop post-visit unless the patient called back on their own.
- 35% of patients failed to show for labs or follow-ups
- Missed revenue from ancillary services
- Decline in satisfaction scores and reviews
The AI would have:
- Automatically sent follow-up reminders with lab locations and prep instructions
- Answered medication-related FAQs
- Prompted patients to confirm or reschedule missed appointments
→ Higher adherence to care plans
→ More downstream revenue captured
→ Stronger reputation and better reviews
See detailed implementation results