Patient-controlled health records AI
OpenKP
This assessment covers OpenKP with a patient-chosen AI client. OpenKP itself is a local record connector, with preview and confirmation workflows. The chosen AI client receives returned records under its own policies. OpenKP and HugoScore share a maintainer, so this is a self-evaluation.
Published September 8, 2026 as an AI-assisted draft. The public report separates documented facts, agency judgments and unresolved questions.
Summary judgment · 91 out of 100 toward patient-directed
91 applies to OpenKP plus a patient-chosen AI client. Standalone OpenKP has no separate AI score.
Strongly agency-expanding
This assessment covers OpenKP with a patient-chosen AI client. OpenKP itself is a local record connector, with preview and confirmation workflows. The chosen AI client receives returned records under its own policies. OpenKP and HugoScore share a maintainer, so this is a self-evaluation.
Patient agency
How this tool changes agency
Cross-note comparisons, access-log questions, and retrieving original records enable scrutiny of institutional accounts. The language model provides interpretation, so accuracy and critical capacity must be evaluated for the combined workflow.
Client approval behavior, current source/version parity, external model data handling, portal terms, and accessibility outside technically capable NorCal users.
Patient agency assessment
Who sets and changes the goal?
The patient chooses the substantive questions and AI client, and operates the portal connector. A callable confirmation parameter is a control mechanism, but not proof that every client obtains informed human approval before invoking it.
What can the patient understand, question, or do?
Cross-note comparisons, access-log questions, and retrieving original records enable scrutiny of institutional accounts. The language model provides interpretation, so accuracy and critical capacity must be evaluated for the combined workflow.
Can the patient evaluate the conditions of use?
The website identifies the client data boundary more clearly than the repository's broad local-only statement. A source-available noncommercial license supports personal adaptation without guaranteeing universal use rights or secure operation.
Text findings
Conflict of interest
Self-evaluated: OpenKP and HugoScore share the same maintainer
Hugo Campos maintains both OpenKP and HugoScore, so this profile is a self-evaluation rather than an independent review. It is published with that label, and independent third-party review of OpenKP is invited and outstanding.
Conditions of use
Published controls and their limits
The website identifies the client data boundary more clearly than the repository's broad local-only statement. A source-available noncommercial license supports personal adaptation without guaranteeing universal use rights or secure operation.
What remains unknown?
Not tested or not established
Client approval behavior, current source/version parity, external model data handling, portal terms, and accessibility outside technically capable NorCal users.
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
- https://openkp.org/
- https://github.com/hugooc/OpenKP
- https://raw.githubusercontent.com/hugooc/OpenKP/main/openkp/src/openkp/mcp_server.py
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
Client approval behavior, current source/version parity, external model data handling, portal terms, and accessibility outside technically capable NorCal users. 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.
AI-assisted draft · Medium for architecture, lower for current implementation and usable approval (AI-assisted draft)