
Patient advisory panel synthesis
Preserve dissenting patient experiences alongside dominant themes.
- For
- Hospital quality improvement teams
- Solves
- Panel feedback is summarized without preserving minority experiences.
- Delivers
- Patient advisory evidence brief
- Built in
- about 6 weeks of creation time, MVP in 7 days
- Investment
- $10,500 for the MVP, $35,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For hospital quality improvement teams, turn consented panel transcripts and improvement questions into patient advisory evidence brief.
- Separate distinct experiences.
- Link quotes.
- Flag contradictory feedback.
- Draft clarification questions.
- Track staff responses.
- Export participant summaries.
What goes in, what comes out
- Consented panel transcripts
- Improvement questions
AI drafts, people review. Research evidence workspace with reviewed deliverables.
- Patient advisory evidence brief
How it works
The workflow
- InStart with
Consented panel transcripts and improvement questions
- 1
The buyer creates a project
- 2
Supplies consented panel transcripts and improvement questions
- 3
Confirms scope and access
- OutFinish with
Patient advisory evidence brief
AI does the heavy lifting, people stay in charge
Cluster service feedback without diagnosing participants. 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: Session library, Experience themes, Action responses. Organize work by research question. Show a source library, an evidence matrix and a draft findings panel with linked quotations. Keep contradictory findings and unanswered questions visible. Allow reviewers to inspect the original context before accepting an interpretation. Open with session library; move into experience themes for the detailed task; finish in action responses for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Source provenance, participant consent where applicable, research questions, coding definitions, reviewer disagreements, citations and versioned conclusions. 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. Permitted research libraries, interview recording imports, citation exports and document editors. Preserve original source metadata throughout the workflow. Begin with uploads and exports of consented panel transcripts and improvement questions. 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: separate distinct experiences; link quotes. 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 hospital quality improvement teams use it to solve "panel feedback is summarized without preserving minority experiences"?
- 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 traceable themes and participant agreement. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: Qualitative service research with consent. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: separate distinct experiences; link quotes. Support the third task through an assisted review queue: flag contradictory feedback. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of patient advisory evidence brief. 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 patient advisory evidence brief, automate draft clarification questions; track staff responses; export participant summaries. 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. Qualitative service research with consent.
What the build depends on. A clear research protocol, source access, citation tracking and qualified interpretation. Interview work also needs relevant participants and consent management. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Qualitative service research with consent.
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: separate distinct experiences; link quotes. 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$35,500about 6 weeks of creation time · start with the MVP from $10,500
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 | $80–$160 | $130–$260 |
| Full productabout 50 customers | $190–$380 | $880–$1,750 | $1,070–$2,130 |
Run it or resell it
For your own team
Hospital quality improvement teams run it inside the business: consented panel transcripts and improvement questions in, patient advisory evidence brief 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
#319127 - accent
#9e54c9 - surface
#e6f1e4 - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Careful, kind, clinically plain
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 750-3,000 for one tightly bounded research question and evidence pack. Participant recruitment, specialist review and licensed data are separately scoped. Repeat tracking can become a retainer. Prices are hypotheses. For this buyer, package the first sale around synthesize one advisory session and the defined patient advisory evidence brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Preserve dissenting patient experiences alongside dominant themes. Demonstrate the result with synthesize one advisory session for hospital quality improvement teams. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Patient engagement networks and quality consultants
Lead magnet
Synthesize one advisory session
The first 30 days
- Week 1: interview five prospective buyers from hospital quality improvement teams and inspect how they handle panel feedback is summarized without preserving minority experiences.
- Week 2: prepare synthesize one advisory session using authorized or synthetic material.
- Week 3: share the demonstration through patient engagement networks and quality consultants and seek one bounded paid pilot.
- Week 4: measure traceable themes and participant agreement, 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 synthesize one advisory session and deliver patient advisory evidence brief. Compare traceable themes and participant agreement 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
Traceable themes and participant agreement
Retention and expansion
Build repeat use around patient advisory evidence brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on traceable themes and participant agreement. 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
Niche research protocols, credible researcher relationships and a rights-cleared evidence archive with consistent interpretation methods. For this concept, accumulate permissioned examples and reviewer corrections around preserve dissenting patient experiences alongside dominant themes. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Research consultants, internal analysts, literature databases and general search or summarization tools. Position this concept around preserve dissenting patient experiences alongside dominant themes. 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
Researcher time, source access, participant recruitment, transcription, evidence coding, expert review and report revisions. Initial validation additionally budgets for participant facilitation 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. Qualitative service research with consent. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.