Operative note
Generate a narrative from captured fields and center-specific defaults, then review and attest.
ACCESS AI Platform
One worksheet. Less repeated documentation.
The documentation workflow presented in August 2026 uses structured information from the procedure room to prepare several work products. The physician and center retain review and accountability.
Four outputs
The same case data supports four jobs
Coding support
Map documented procedures and add-ons to supporting coding information for the center’s review.
Registry record
Store the case with common field definitions so it can contribute to a comparable dataset.
Quality reporting
Use the structured data for QAPI review and network benchmarking.
Human review
Extraction is checked before it is trusted
The demonstrated workflow uses Amazon Textract to read field values, checkbox states, and tables. Low-confidence entries are flagged; range and logic checks support review.
The source image stays linked to the extracted information. Physician attestation precedes a final note, and coding decisions remain with the physician and coding team.
Automation supports documentation. It does not replace clinical judgment or the center’s responsibility for an accurate record.
Working with the data
Ask questions of your own case series
The Registry presentation describes a plain-language query layer over structured case records—for example, finding cases with longer fluoroscopy times or reviewing recorded complications over a period.
Defined scope
Queries are scoped to the physician’s own patients.
Traceable answers
Answers cite the underlying case records.
A tool for investigation
The described use is hypothesis generation from structured fields, not clinical decision support.
Ask ACCESS which workflow and query capabilities are available for your center’s onboarding.
See how the workflow fits your center
Request a demonstration of capture, review, documentation, and Registry submission.
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