AI app for healthcare · no coding needed
Clinic research participation admin desk
Make study inquiries organized without screening medical eligibility.
Made for: Small practice research coordinators

What it does for you
The problem
Interested patients struggle with administrative study inquiries.
What it gives you
Research inquiry handoff pack
What you give it
Public study descriptionsapproved inquiry scripts
How it works, step by step
- Present approved descriptions
- Capture volunteered questions
- Explain contact steps
- Check administrative completeness
- Route coordinator review
- Export inquiry records
What you see on screen
- Study information
- Inquiry checklist
- Coordinator handoff
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Clinic research participation admin desk with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Clinic research participation admin desk with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data209 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For small practice research coordinators, turn public study descriptions and approved inquiry scripts into research inquiry handoff pack. Address this specific problem: interested patients struggle with administrative study inquiries. The aim: make study inquiries organized without screening medical eligibility. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.
The buyer creates a project, supplies public study descriptions and approved inquiry scripts, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final research inquiry handoff pack before use. Retain source links and a version history for the next cycle.
How the AI works
Retrieve approved text and preserve unanswered clinical questions. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
Safeguards
Begin with administrative scope or clinician-reviewed material. Minimize sensitive patient data, restrict access and obtain required organizational review before connecting clinical systems. No recruitment messaging or eligibility decisions without study approval. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.
What to build first
Costed pilot: No recruitment messaging or eligibility decisions without study approval. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: present approved descriptions; capture volunteered questions. Support the third task through an assisted review queue: explain contact steps. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of research inquiry handoff pack. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.
What it can connect to
Clinic-approved content and administrative exports. Clinical integrations require separate assessment. Case management, customer records, document storage and notification systems. Begin with an exportable review pack before automating destination writes. Begin with uploads and exports of public study descriptions and approved inquiry scripts. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
The screens in detail
Give submitters a mobile-friendly step-by-step form with document uploads and a visible completeness checklist. Staff see a queue with missing items and extracted fields. Place the original document beside each uncertain value. Show submitted, clarification required and ready-for-review states. Open with study information; move into inquiry checklist for the detailed task; finish in coordinator handoff for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.





