Condition-specific coaching and care AI
Chronilogix
Chronilogix offers AI coaching for chronic care and mental health. Reflective goal setting may support agency, while institutional incentives and conflicting data-use disclosures leave patient authority unresolved. Mixed and unscored.
Hugo Campos authorized publication of this AI-assisted draft. No comprehensive human verification or hands-on product testing.
Summary judgment · Unscored in current comparisons
Multiple deployment models; practical patient authority has not been tested.
Mixed
Patient-facing support and adjustable goals coexist with institutional purchasing priorities and unresolved disclosure conflicts. No numerical ranking is assigned.
Patient agency
How this tool changes agency
Potential support for reflection, personally meaningful goals and between-visit self-management.
Patient control of sponsor goals, AI interpretations and sharing is unverified; inconsistent disclosures complicate informed choice.
Patient agency assessment
Who sets and changes the goal?
The consumer listing describes adjustable goals; authority when patient and sponsor priorities differ is unverified.
Can patients tell AI is involved?
Public materials identify AI coaches; disclosure inside partner deployments was not tested.
Can patients meaningfully choose?
Consumer choice is described; refusal without institutional consequences is not established.
Can patients correct or challenge the output?
Data correction rights are stated, but correction of AI interpretations and shared summaries was not tested.
Does it help patients understand or act?
Goal setting and reflection may support action; advocacy against institutional decisions is not established.
Can patients evaluate the conditions of use?
The FAQ and privacy policy disagree about model improvement using conversations. Actual training practice is unverified.
Text findings
What happens to patient data?
Conflicting disclosures
The FAQ excludes conversation use for model improvement; privacy policy III.B permits training with primarily de-identified content. V retains anonymized improvement data after deletion. These are policy statements, not an audit of practice.
Who is left out or burdened?
Not independently evaluated
Cultural tailoring and broader access are claimed. Accessibility, affordability in each deployment and subgroup outcomes are unverified.
Are the clinical boundaries clear?
Partial
Coaching-replacement marketing requires clarification alongside self-help-only terms. Human coaching and licensed clinical care are not interchangeable; escalation performance was not tested.
Who defined what good looks like?
Vendor/scientific leadership visible
Patient partnership in defining evaluation outcomes was not established in the reviewed public sources.
Review provenance
Criteria
CAIHL-derived HugoScore framework and current qualitative review method
Reviewer
AI-assisted public-source review prepared in OpenAI Codex
AI / model
OpenAI Codex / GPT-6 (exact variant not recorded)
Human review
Hugo Campos authorized review and publication. No comprehensive human verification is claimed.
Review date
2026-09-28
Limitations
Public-source review only. No account, health-data upload, hands-on testing, security audit, clinical evaluation or vendor interview. Product-specific study search was bounded, not systematic.
Review method
CAIHL public-source review and bounded product-specific evidence search; no account creation, interaction testing or health-data upload.
AI-assisted draft · Medium for public disclosures, low for behavior and outcomes (AI-assisted draft)