AI-enabled virtual primary care
InstaDoc
InstaDoc’s current homepage separates informational AI results from optional licensed-clinician care. It describes patient choices over escalation and onward sharing. Earlier pricing, prescribing, and legal findings remain historical because the detailed policies could not be refreshed.
Checklist assessment dated October 30, 2026. Independent confirmation is incomplete. Hugo has not personally verified this service.
Agency checklist · October 30, 2026
Leans expands 9 of 12 yes
Document-based draft. Independent confirmation is incomplete. Hugo has not personally verified this service.
Assessed function: Patient-initiated InstaDoc AI symptom intake, with optional affiliated clinical care by separate independent clinicians.
A no can mean missing documentation or institution-dependent control; it does not by itself establish harmful behavior. These categories are not clinical safety or product-quality ratings.
- Public documents do not establish actual product behavior.
- The independent review screened rules and selected evidence; it did not replicate all twelve answers for this tool.
See all twelve answers and their evidence
| Question | Answer | Evidence / review | Source and reasoning |
|---|---|---|---|
| 1. Told it is AI | Yes | documented Not independently replicated | The Services use artificial intelligence, automation, probabilistic models, third-party systems, rules enginesSource The site is a single-page app, so I read the rendered pages. The home page also says 'our AI checks them'. |
| 2. Operator and model maker named | No | not-documented Not independently replicated | Quotation not recorded; evidence repair pending. Source InstaDoc, LLC is named (terms) and the founder is named on the about page. The AI model or maker is not named anywhere I found, including the news article and the site JavaScript. |
| 3. Patient chooses to use it | Yes | documented Not independently replicated | Describe your symptoms and our AI checks them against the same clinical references doctors useSource The user starts a free symptom check. Clinician care is optional: 'If you choose one of the get care options'. |
| 4. Patient sets the task | Yes | documented Not independently replicated | Describe your symptoms in plain language. No medical jargon needed.Source The user sets the question. Intake is built around prescriptions, sick notes and referrals. |
| 5. Patient can decline or stop | Yes | documented Not independently replicated | Describe your symptoms and our AI checks them against the same clinical references doctors useSource Self-started tool per the Q3 source. The care path for prescriptions starts with AI intake ('AI handles the initial assessment'), so declining AI while getting the same clinician service is not documented. |
| 6. Patient sees the AI output | Yes | documented Not independently replicated | Shows you what a doctor would likely order: the tests, the treatments, the next steps.Source The user sees the AI assessment. The about page says 'Get your assessment' before clinician review. |
| 7. Patient can correct or challenge | No | not-documented Not independently replicated | Quotation not recorded; evidence repair pending. Source Terms require independent physician verification of output but give no route to correct or contest it. The about page invites general feedback by email. |
| 8. Patient can get a copy | Yes | documented Not independently replicated | You may request a copy of your records, request deletion, or file a complaintSource Request goes through the Contact page. Last Updated June 11, 2026. |
| 9. Patient can delete | Yes | documented Not independently replicated | You may request a copy of your records, request deletion, or file a complaintSource Retention periods are not stated. The home page says symptom intake is stored only as needed. |
| 10. Training or sale does not override patient choice | Yes | documented Not independently replicated | We do not sell your data or use it to train AI models.Source This is from the home page FAQ. The terms (section 7) also allow de-identified or aggregated data for 'product improvement, research, benchmarking, and business operations', which could include training. The privacy policy does not mention training. |
| 11. Patient can run it or take it elsewhere | No | not-documented Not independently replicated | Quotation not recorded; evidence repair pending. Source Vendor-hosted only. Terms bar reverse engineering. |
| 12. No advertising or data business | Yes | documented Not independently replicated | We do not sell PHI. We do not share PHI with advertisers.Source Terms and privacy say no tracking cookies and no third-party trackers. The terms allow de-identified use for benchmarking and business operations but do not describe sale or licensing. Reviewer should confirm that de-identified use is not a data business. |
Initial coding: Claude Sonnet helpers, compiled by Claude Opus 5.5 (Anthropic). Selective review and corrections: GPT-6 Astra (OpenAI). Editor: Hugo Campos. Acceptance of corrections is not product verification.
Checklist rules · Independent review and limitations · Later evidence follow-up
Earlier v1.3 assessment and control finding
Historical assessment under different rules. It does not set the current checklist zone.
Agency finding, before method v1.3
Potentially agency-expanding, with clinical-governance, verification, and disclosure contradictions
Legacy editorial placement, pre-method: 82
This profile has not yet been reviewed under the published method. Its finding and any number are editorial placements made before the method existed.
- Evidence
- Documentary review. Public sources only, no hands-on testing by HugoScore.
- Review status
- AI draft. No person has settled the findings.
Earlier evidence and assessment
The sections below preserve the earlier review. Its classifications and provenance are historical; the checklist above gives the current draft classification.
Earlier finding · Legacy editorial placement, pre-method: 82
Method v1.3. The control line is evidence for how the agency finding arose, not a quality score. Legacy editorial placement, pre-method: 82. Not comparable with v1.3 positions.
Potentially agency-expanding, with clinical-governance, verification, and disclosure contradictions
InstaDoc’s current homepage separates informational AI results from optional licensed-clinician care. It describes patient choices over escalation and onward sharing. Earlier pricing, prescribing, and legal findings remain historical because the detailed policies could not be refreshed.
Patient agency
How this tool changes agency
Symptom reflection and possible next steps may help patients prepare questions. The claim to use clinical references does not establish visible citations, calibrated uncertainty or validation for a particular answer.
Legal verification requirements, detailed data path, state coverage, final prices, e-prescribing readiness and output correction could not be refreshed.
Patient agency assessment
Who sets and changes the goal?
Patients still define the initial problem and choose clinical escalation. The current homepage makes prepayment review and waiting-time choice more explicit. Whether patients can revise or contest the free AI assessment remains unresolved.
What can the patient understand, question, or do?
Symptom reflection and possible next steps may help patients prepare questions. The claim to use clinical references does not establish visible citations, calibrated uncertainty or validation for a particular answer.
Can the patient evaluate the conditions of use?
Current front-page scope is clearer than the prior urgent-care framing, but anonymity and no-training promises cannot be reconciled against inaccessible policy text in this pass. Clinical and software rights should remain distinct.
Text findings
Why is this tool included?
Brought to HugoScore through a founder-profile screenshot; not an endorsement
A screenshot of founder Jon Pangia's public LinkedIn profile brought InstaDoc to HugoScore's attention on 2026-07-30. The screenshot was treated as a lead, not evidence for product claims. Publishing this draft does not endorse the founder, vendor, medical group, or service.
Conditions of use
Published controls and their limits
Current front-page scope is clearer than the prior urgent-care framing, but anonymity and no-training promises cannot be reconciled against inaccessible policy text in this pass. Clinical and software rights should remain distinct.
What remains unknown?
Not tested or not established
Legal verification requirements, detailed data path, state coverage, final prices, e-prescribing readiness and output correction could not be refreshed.
Who evaluated this?
AI-assisted public-source draft
Vendor statements describe published conditions, not independently verified behavior. No clinical, security, accessibility, or legal validation is claimed. Earlier evidence remains dated in the report and history.
Sources checked
Source-specific findings and retrieval limitations are recorded in the full report.
Earlier review provenance
Criteria
CAIHL-derived HugoScore framework and September 7 qualitative review priorities. Draft v1.2 numerical anchors remain unadopted.
Reviewer
AI-assisted public-source reassessment prepared in OpenAI Codex.
AI / model
OpenAI Codex / GPT-6
Human review
Hugo Campos authorized publication of these AI-assisted draft reassessments on September 8, 2026. This does not claim comprehensive human verification of every finding.
Review date
2026-09-08
Limitations
Legal verification requirements, detailed data path, state coverage, final prices, e-prescribing readiness and output correction could not be refreshed. No live product use, patient-data upload, account creation, code audit, clinical evaluation, or independent implementation validation.
Earlier review method
Focused public-source reassessment using CAIHL: patient authority, critical capacity, and informed control. Existing evidence plus one focused primary-source pass and at most one targeted follow-up. No live product testing. Numerical scores remain provisional editorial placements, not a new calculation.
Document-based draft · Low to medium, current homepage only (AI-assisted draft)