Autonomous Assessment of Medical Consent Forms: Development and Preliminary Feasibility Demonstration of the Universal Health Communication Index (UHCI)
Cihat Özgüncü · 2026
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Description
Cihat Özgüncü introduced a computer framework in 2026 for grading medical consent forms. Consent forms often protect institutions more than they help patients understand, and simple reading-level scores miss ethical problems. The new index uses large language models to score forms on five points: accessibility, transparency, respect for patient choice, burden on the system, and medical completeness. One simulated reader gauges patient strain, while another checks the form against clinical guidance for missing risks.
In early tests the scores came close to those from a large panel of human reviewers across a few pilot forms. The system penalized forms that looked clear but hid behind defensive wording. Comparing standard forms for the same spine procedure in Turkey, the United Kingdom, and the United States, it separated patient-centered wording from directive institutional wording. The author offers the tool as screening help for managers, not a replacement for human judgment.
Catalog record
| CREATOR | Cihat Özgüncü |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |