
Clinic research participation admin desk
Make study inquiries organized without screening medical eligibility.
- For
- Small practice research coordinators
- Solves
- Interested patients struggle with administrative study inquiries.
- Delivers
- Research inquiry handoff pack
- Built in
- about 6 weeks of creation time, MVP in 7 days
- Investment
- $14,000 for the MVP, $47,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For small practice research coordinators, turn public study descriptions and approved inquiry scripts into research inquiry handoff pack.
- Present approved descriptions.
- Capture volunteered questions.
- Explain contact steps.
- Check administrative completeness.
- Route coordinator review.
- Export inquiry records.
What goes in, what comes out
- Public study descriptions
- Approved inquiry scripts
AI drafts, people review. Client intake portal and staff exception queue.
- Research inquiry handoff pack
How it works
The workflow
- InStart with
Public study descriptions and approved inquiry scripts
- 1
The buyer creates a project
- 2
Supplies public study descriptions and approved inquiry scripts
- 3
Confirms scope and access
- OutFinish with
Research inquiry handoff pack
AI does the heavy lifting, people stay in charge
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.
What your team sees
Key screens: Study information, Inquiry checklist, Coordinator handoff. 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.
Accounts and administration
Secure uploads, configurable checklists, progress saving, duplicate handling, reviewer assignments, clarification threads, deadlines and submission history. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.
Integrations and data access
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.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
7 daysOne buyer segment, one recurring use case; first modules: present approved descriptions; capture volunteered questions. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
8 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will small practice research coordinators use it to solve "interested patients struggle with administrative study inquiries"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track incomplete handoffs and coordinator preparation time. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. 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.
After the MVP. After paying customers repeatedly accept research inquiry handoff pack, automate check administrative completeness; route coordinator review; export inquiry records. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. No recruitment messaging or eligibility decisions without study approval.
What the build depends on. Secure upload handling, reliable extraction, versioned completeness rules, submitter identity and staff routing. Third-party checklist changes require maintenance. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: No recruitment messaging or eligibility decisions without study approval.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: present approved descriptions; capture volunteered questions. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$47,500about 6 weeks of creation time · start with the MVP from $14,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $50–$100 | $40–$90 | $90–$190 |
| Full productabout 50 customers | $190–$380 | $280–$560 | $470–$940 |
Run it or resell it
For your own team
Small practice research coordinators run it inside the business: public study descriptions and approved inquiry scripts in, research inquiry handoff pack out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#339127 - accent
#9c54c9 - surface
#e6f1e4 - ink
#22201e
- Headings
- Libre Baskerville
- Text
- IBM Plex Sans
- Voice
- Careful, kind, clinically plain
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 500-2,000 setup plus USD 150-750 monthly for one form family and a capped submission volume. Quote specialist review and unusual document formats separately. Prices are experimental. For this buyer, package the first sale around prototype inquiries for one approved study and the defined research inquiry handoff pack. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Make study inquiries organized without screening medical eligibility. Demonstrate the result with prototype inquiries for one approved study for small practice research coordinators. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Research sites and practice-based research networks
Lead magnet
Prototype inquiries for one approved study
The first 30 days
- Week 1: interview five prospective buyers from small practice research coordinators and inspect how they handle interested patients struggle with administrative study inquiries.
- Week 2: prepare prototype inquiries for one approved study using authorized or synthetic material.
- Week 3: share the demonstration through research sites and practice-based research networks and seek one bounded paid pilot.
- Week 4: measure incomplete handoffs and coordinator preparation time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run prototype inquiries for one approved study and deliver research inquiry handoff pack. Compare incomplete handoffs and coordinator preparation time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.
Success metrics
Incomplete handoffs and coordinator preparation time
Retention and expansion
Build repeat use around research inquiry handoff pack. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on incomplete handoffs and coordinator preparation time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Why clients would pick it
Document-type expertise, tested completeness rules and a low-friction client experience embedded in a repeat administrative process. For this concept, accumulate permissioned examples and reviewer corrections around make study inquiries organized without screening medical eligibility. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Email collection, generic web forms, spreadsheets and existing case management systems. Position this concept around make study inquiries organized without screening medical eligibility. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.
Main delivery costs
Document processing, storage, exception review, support, checklist maintenance and customer-specific integration work. Initial validation additionally budgets for research coordinator and privacy review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
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.