Patient-controlled health records AI
MyChart Takeout
MyChart Takeout is a deterministic record exporter, so the standalone utility is unscored. Its documented gaps report helps users see missing data. Export supports patient-chosen downstream analysis but does not guarantee a complete institutional record.
Standalone deterministic exporter. Downstream AI is chosen separately. Historical scores are retained in the report.
Summary judgment · Unscored in current comparisons
Standalone deterministic exporter. Downstream AI is chosen separately. Historical axis: 92/100.
Strongly agency-expanding, with license-clarity, instance-variability, and access caveats
MyChart Takeout is a deterministic record exporter, so the standalone utility is unscored. Its documented gaps report helps users see missing data. Export supports patient-chosen downstream analysis but does not guarantee a complete institutional record.
Patient agency
How this tool changes agency
The new documented gaps report matters: a patient can see what was missed rather than assuming silence means absence. Exported originals can support disputes, but extraction does not correct source records or guarantee that an entire institutional history is available.
Hosted-bundle equivalence, current license grant, proxy semantics and completeness across real portals remain untested.
Patient agency assessment
Who sets and changes the goal?
Local portable artifacts let the patient choose subsequent analysis and recipients. That is the agency basis, not the maintainer's reputation or an open-source label. Proxy access gives an authorized caregiver capability and does not establish the subject's consent to every later use.
What can the patient understand, question, or do?
The new documented gaps report matters: a patient can see what was missed rather than assuming silence means absence. Exported originals can support disputes, but extraction does not correct source records or guarantee that an entire institutional history is available.
Can the patient evaluate the conditions of use?
The documented local architecture reduces an extra custody layer. It still relies on an authenticated portal and software supply chain, and does not prove the hosted bundle matches source. Optional agents and downstream AI have their own data paths.
Text findings
Conditions of use
Published controls and their limits
The documented local architecture reduces an extra custody layer. It still relies on an authenticated portal and software supply chain, and does not prove the hosted bundle matches source. Optional agents and downstream AI have their own data paths.
What remains unknown?
Not tested or not established
Hosted-bundle equivalence, current license grant, proxy semantics and completeness across real portals remain untested.
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.
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
Hosted-bundle equivalence, current license grant, proxy semantics and completeness across real portals remain untested. No live product use, patient-data upload, account creation, code audit, clinical evaluation, or independent implementation validation.
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.
Unscored infrastructure · Medium for repository documentation, limited for deployed build (AI-assisted draft)