// Case study · Community Healthcare
Web and mobile scheduling that lets clinic patients wait from home
The Community Health Center of Lubbock wanted patients to wait from home instead of in the waiting room. We built a web and mobile system for booking appointments, patient profiles, pre-visit questions, and clinic forms.
- Client
- Community Health Center of Lubbock
- Platforms
- Web App · Mobile App
- Industry
- Healthcare
The project
The challenge
The Community Health Center of Lubbock needed online appointment scheduling so patients could wait from home instead of in the clinic. A full waiting room is hard on everyone: patients who feel sick, parents with children in tow, and people taking time off work to be seen.
Scheduling was only part of the job. Before a visit, the clinic needs to know who the patient is, what service they need, and which forms that visit requires, and patients had to be able to provide all of it from a phone or a computer.
What we built
We built My Patient Express, a scheduling system for the web and mobile devices. Patients create a profile, book an appointment, and answer preliminary questions about the service they need.
They can also fill out the forms required for their clinic visit before they arrive. That moves paperwork out of the waiting room and gives staff the information ahead of time.
We built it with hybrid app technology, which lets one application run in a web browser and on mobile devices. Patients get the same experience on any device, and the health center has one system to maintain.
The result
- Patients can book appointments online and wait from home instead of in the clinic.
- Profiles, preliminary questions, and required clinic forms can be completed before the visit.
- One system serves patients on the web and on mobile devices.
Built with
- Hybrid app technology (web and mobile)
Where AI takes it next
How we'd extend this product with today's AI — the same thinking we bring to every client roadmap.
- 01
Wait-time texts that make waiting from home work: a model trained on appointment and check-in history predicts how far behind the clinic is running and texts each patient a realistic time to leave.
- 02
A bilingual intake assistant that turns the preliminary questions into a short conversation in English or Spanish and gives staff a structured summary before the visit.
- 03
Document AI for paperwork: patients photograph their insurance card and ID, and the app reads them and pre-fills the clinic forms for review. Any AI vendor that touches patient data would need to sign a HIPAA business associate agreement.
- 04
No-show prediction with automatic backfill: flag appointments likely to be missed, ask those patients to confirm, and offer freed-up slots to patients on a waitlist.
Services on this project
What we brought to the table.
Next step
Have a product or process like this?
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