Run continuous clinician UX research within one subscription
Verified clinicians by specialty, practice setting, and EHR familiarity. AI-moderated voice and video interviews on real workflow context. HIPAA-compliant by default. BAA on every engagement. Monthly subscription with 50 interviews included — always-on listening for digital health product teams across the roadmap without sacrificing rigor.
Trusted by teams at
Digital health product, UX, and research leaders (Epic, Oracle Health, athenahealth) face three constraints generic UX research tools don't solve: clinician recruitment requires license + NPI verification and EHR-familiarity filters generic panels can't honor; hospital-system procurement gates every UX vendor on BAA; and sprint-cadence iteration outruns legacy healthcare research cycles. Carevoices delivers AI-moderated voice/video interviews with verified clinicians by specialty, practice setting, and EHR familiarity — recruited in 7-21 days, HIPAA Safe Harbor de-identified, BAA on every UX engagement. Monthly subscription with 50 interviews replaces per-project UX vendor work.
Why Generic UX Research Tools Fail Digital Health Platforms
Three structural constraints that generic UX panels and consumer-grade research tools don't solve.
Generic UX panels lack license + NPI verification
User Interviews, Dscout, and Maze rely on self-identification. For digital health platforms that touch PHI or inform hospital-system customer roadmap, you need clinicians whose licenses you can verify, whose practice setting you can confirm, and whose EHR familiarity is captured at intake — not random panel-self-identifiers. Our Q3 2025 audit measured 18-31% AI-respondent leak rates on benchmarked legacy UX panels.
BAA gap disqualifies generic UX vendors from hospital procurement
When you propose a UX research vendor for a hospital-system customer engagement, the customer's procurement team requires BAA. Most generic UX research tools (User Interviews, Dscout, Maze) don't publish BAA templates as of April 2026 and require 60-120+ day legal retrofits per engagement. The compliance bottleneck on UX research blocks roadmap-relevant clinician input.
Sprint cadence outruns legacy healthcare vendor cycle times
Digital health product cycles run on 2-4 week sprints. Legacy healthcare research vendors at 6-10 weeks per project miss iteration windows entirely. Without same-week fielding, clinician UX input can't keep pace with sprint cadence, so roadmap decisions get made without it. AI-native delivery at under 2 weeks fits the cadence.
EHR-integration research falls between every vendor's scope
Workflow research on FHIR integrations, SMART-on-FHIR app embeds, and EHR-vendor handoffs needs clinicians who actually use the integration in production — not generic Epic users. Survey panels can't honor integration-specific filters, generic UX vendors can't sign BAAs, and legacy healthcare research firms field too slowly. Roadmap decisions on integration UX get made without clinician signal.
How Does Carevoices Compress Digital Health UX Research?
Digital health teams use Carevoices to run AI-moderated voice and video interviews with verified clinicians by specialty, practice setting, and EHR familiarity, recruited in 7-21 days, delivered as HIPAA Safe Harbor de-identified transcripts under BAA. A monthly subscription with 50 interviews included replaces bespoke per-project UX vendor work — feature validation, EHR adoption research, switching-driver analysis, and continuous clinician UX listening all run within the same engagement. The compliance posture is built into the platform, not bolted on.
How does Carevoices recruit clinicians who use a specific EHR or scheduling tool?
Panelist intake captures EHR familiarity, scheduling tool usage, and specific software exposure. NPI auto-validated against the public NPPES Registry; license cross-checked against state board databases. Specialty + practice setting + EHR familiarity recruiting runs 7-14 days for mainstream EHRs (Epic, Cerner / Oracle Health, athenahealth); 14-21 days for less common EHR + specialty + practice-setting combinations. Direct NPI outreach available for rare workflow exposures.
What makes Carevoices' compliance posture defensible to hospital-system customer procurement?
BAA on every healthcare engagement (template available before signature). PHI-safe transcript pipeline with no model training, no logging on customer data. HIPAA Safe Harbor de-identification applied to every transcript before delivery. US data residency confirmed in writing. Documentation package designed for hospital-system customer procurement reviews. Most engagements pass procurement in under 30 days — generic UX research tools typically fail at the BAA gate.
What's structurally different about Carevoices' delivery vs. generic UX research tools?
AI-native delivery, a monthly subscription with 50 interviews included replacing bespoke per-project vendor work, compliance-as-architecture rather than retrofit, and always-on listening capability across the product roadmap. Fielding starts the same week the brief is locked. We don't replace your synthesis stack (Dovetail, internal Snowflake) — we provide AI moderation, compliance posture, and de-identified delivery as an integrated stack that feeds it. The structural difference shapes engagement velocity, data integrity (0.4% verified AI-respondent leak rate vs. 18-31% on benchmarked legacy UX panels), and procurement clearance for digital health platforms.
How For Digital Health Product, UX & Research Leaders use
Carevoices
Compliance Built In
BAA on every UX engagement, template available pre-signature — generic UX research tools typically fail this gate. HIPAA Safe Harbor de-identification by default. US data residency confirmed in writing. Stimuli pre-approval workflow with versioning and audit trail for regulated content review.
Faster Insights
Fielding starts the same week the brief is locked. AI-moderated voice and video interviews with verified clinicians by specialty, practice setting, and EHR familiarity from a 10k+ healthcare panel. Recruitment takes 7-14 days for mainstream EHR + specialty combinations; 14-21 days for less common combinations.
Always-On Listening
Monthly subscription with 50 interviews included means the next UX wave fields the moment the prior one closes. Run feature validation, EHR adoption research, switching-driver analysis, and continuous clinician UX listening all within the same engagement — no per-project procurement cycle between studies.
Provider Workflow & EHR-Integration Research
Voice and video interviews with clinicians who actually use FHIR integrations, SMART-on-FHIR embeds, and EHR-vendor handoffs in production. Panelist intake captures EHR familiarity and integration-specific exposure (Epic App Orchard, Cerner CODE, athenahealth Marketplace). Roadmap decisions on integration UX informed by current clinician voice, not generic Epic users.
How Carevoices compares to common digital health UX research alternatives
| Dimension | Carevoices | Generic UX research tools (User Interviews / Dscout / Maze) | Healthcare consulting firms | Internal usability research |
|---|---|---|---|---|
| Engagement model | Monthly subscription with 50 interviews included; same-week fielding | Per-session credit pricing or annual SaaS subscription | RFP-driven custom engagement, 30-90 day procurement | Internal-only; staffed by 1-3 researchers per product team |
| License + NPI verified clinician panel | Native — license + NPI verified at intake; EHR familiarity captured | Self-identified panel; no license verification or NPI cross-check | Custom-recruited per RFP | Internal employees or hospital-system customer-recruited |
| BAA on every UX engagement | Yes — template available pre-signature | No published BAA template; 60-120+ day legal retrofit | Yes — standard for healthcare engagements | Internal handling; no third-party BAA required |
| Sprint-cadence turnaround | Same-week fielding once the brief is locked | Days to weeks depending on panel screener strictness | 6-10 weeks per project — misses sprint windows | Limited by internal capacity |
| Pairs with existing synthesis stack (Dovetail, internal BI) | Yes — de-identified transcripts in standard formats (text, JSON, CSV) | Yes — but no compliance reuse across engagements | Custom integration per engagement | Internal-only |
How digital health teams use Carevoices
Brief us
You define the study question and audience. Our research agent translates the brief into a structured learning plan within 24 hours; recruitment feasibility confirmed before contract.
We recruit and moderate
AI-moderated voice or video interviews with verified clinicians. License + NPI verified at intake, behavioral fingerprinting across interviews, AI-on-AI fraud detection on every conversation.
We de-identify and deliver
Transcripts and recordings stripped of all 18 HIPAA Safe Harbor identifiers, then delivered to your team in standard formats your existing analysis stack already accepts.
You analyze
You analyze the de-identified data using your existing tools and team. We don't replace your analysis stack — we feed it the qualitative data your current vendors can't recruit for fast enough.
"We were CROs competing on speed alone, but patient research was the bottleneck — we would quote 8-week timelines while sponsors went to bigger firms in the US and Europe. Carevoices changed the math. We ran 1,203 patient interviews in 48 hours for one sponsor, with HIPAA-grade de-identified transcripts delivered straight into our analysis stack, and the AI moderator went deeper than our human moderators on the first round. Sponsors come to us specifically now because we can do depth research at scale — 34% recruitment uplift, 52% retention. We can now compete globally because of Carevoices."
Stephane Nyombaire, CEO, Nivella Health
The Carevoices Difference for Digital Health UX Research
Generic UX research tools and consumer-grade research platforms can be retrofit for digital health engagements — but the retrofit shows. Carevoices is built around healthcare compliance and clinician verification from day one. Here's how the architecture compares.
Carevoices Healthcare-Vertical Architecture
- BAA on every UX engagement, template available pre-signature
- License + NPI verified clinician panel (NPPES Registry cross-check at intake)
- EHR familiarity captured at intake (Epic, Cerner / Oracle Health, athenahealth, NextGen, etc.)
- Practice-setting filters honored at recruitment (hospital, ASC, ambulatory, private practice)
- HIPAA Safe Harbor de-identification built into delivery pipeline
- Stimuli pre-approval workflow with versioning and audit trail for regulated content
- 0.4% verified AI-respondent leak rate via 6-Layer Fraud Detection Stack
- PHI never trains a model — period
What Generic UX Research Tools Require
- BAA execution typically unavailable; 60-120+ day legal retrofit if at all
- Self-identified panel without license verification or NPI cross-check
- EHR familiarity not captured at intake; rely on screener self-report
- Practice setting either unfiltered or self-reported without verification
- De-identification typically a post-fielding service charge or skipped entirely
- No native stimuli pre-approval workflow for regulated content
- Q3 2025 audit measured 18-31% AI-respondent leak rates on benchmarked legacy UX panels
- PHI in model training pipeline unless explicitly contracted otherwise
In progress: SOC 2 Type II audit (in evidence-collection phase). HITRUST CSF and ISO 27001 are 2026-2027 roadmap. Letter of audit attestation available on request to qualified prospects under NDA.
Run your next clinician UX study the week the brief is locked
Walk through your current product research backlog. See how the monthly subscription fits sprint cadence. Get a sample compliant deliverable from a recent clinician UX engagement.
Walkthrough of a sample compliant deliverable and how the monthly subscription fits your sprint cadence
Sample HIPAA-grade de-identified transcript and analysis from a recent clinician UX engagement
BAA template, HIPAA Safe Harbor methodology, US data residency commitment
Most engagements clear hospital-system customer procurement within 30 days.
Common questions
Go deeper on For Digital Health Product, UX & Research Leaders
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