Patient care navigation and health copilot AI
Neatly Health
Neatly Health is a patient-facing mobile app for recording doctor visits, generating transcripts and plain-language summaries, and asking AI follow-up questions about visits and broader health context. It is strongly patient-side in use, but CAIHL review should keep watching recording consent, correction workflows, AI processing details, app-store privacy label interpretation, and its disclosed business model of selling aggregated, de-identified, cohort-based insights to pharmaceutical and medical-device companies.
Public-source research has been drafted; final human publication review and change-log detail are still required.
Summary judgment · 82% toward patient-directed
Potentially agency-expanding, with data-commercialization caveat
Neatly helps patients preserve and work with their own medical conversations, but its free model depends on aggregated, de-identified, and cohort-based insight products for healthcare companies.
Patient agency
How this tool changes agency
Plain-language summaries, next steps, follow-up questions, caregiver sharing, appointment prep, reminders, and research or trial learning are directly action-oriented.
Use is voluntary and free, but users must understand recording laws, get permission where required, and manage sensitive data-sharing, cohort-insight, and optional third-party opportunity implications.
Patient-facing signals
Who does this AI serve?
Public materials repeatedly say Neatly is built for patients and caregivers, while the business model also serves pharmaceutical, medical-device, research, and healthcare insight customers.
Can patients tell AI is involved?
AI summaries, transcripts, chat, prompts, reminders, and pattern recognition are visible product features.
Can patients meaningfully choose?
Use is voluntary and free, but users must understand recording laws, get permission where required, and manage sensitive data-sharing, cohort-insight, and optional third-party opportunity implications.
Can patients correct or challenge what the AI produces?
Privacy materials describe correction and deletion rights and support contact for mistakes, but transcript, summary, source, and AI-answer correction workflows need app-level verification.
Does it help patients understand or act?
Plain-language summaries, next steps, follow-up questions, caregiver sharing, appointment prep, reminders, and research or trial learning are directly action-oriented.
Text findings
Who is left out or burdened?
Evidence incomplete
Free access helps, but public evidence on language support, disability access, low-literacy support, smartphone access, caregiver dynamics, and recording-consent burden is incomplete; the App Store listing currently indicates English language support and no developer-declared accessibility features.
What happens to patient data?
Meaningful public detail, with secondary-use caveat
Policies disclose collection of recordings, transcripts, derived insights, photos, usage data, location, and authorized EHR/HIE records; vendor AI processing; deletion windows; HIPAA-grade safeguards despite non-covered-entity status; Cohort-Based Intelligence / patients-like-you features; and aggregated de-identified insight sharing.
Are the clinical boundaries clear?
Clear in wording
Privacy and terms say the AI helps organize and understand information, not provide medical advice, and users should consult healthcare providers for medical decisions.
Who defined what good looks like?
Mostly vendor-defined, with patient stories
Public materials include patient stories and founder experience, but no independent safety, equity, privacy, or patient-outcome evaluation was found in this pass.
Review method
Deep public-source review refreshed 2026-06-28 using official website, how-it-works page, FAQ, about/business-model page, privacy policy, terms, Apple App Store listing, and Google Play listing; no vendor interview, app walkthrough, security audit, or independent model evaluation.
Draft profile · Medium draft, official sources only