Infrastructure for Automated Consent Management

Automated consent management requires explicit documentation of which procedures require which consent forms, consent expiration windows by procedure type, and re-consent triggers. These rules must be findable and current — not institutional memory held by perioperative nursing staff. When 'general anesthesia consent expires after 30 days' is known policy but not formally documented in a searchable format, the AI cannot generate accurate consent requirement checklists or trigger expiration alerts, leaving the organization exposed to performing procedures without valid consent.

Consent management requires systematic capture of scheduled procedures (to trigger consent generation), existing consent form status (obtained, pending, expired), patient contact information (for delivery), and digital signature events. The EHR systematically captures scheduled procedures and the baseline confirms EHR captures clinical documentation through defined workflows. Consent form status must be captured through a defined workflow — signed consent scanned and indexed with patient ID, form type, signature date, and expiration date — for automated expiration tracking to function.

The consent system must operate on consistent schema: ConsentForm.type, ConsentForm.procedureLink, ConsentForm.signatureDate, ConsentForm.expirationDate, ConsentForm.status (obtained, pending, expired). HIM baseline confirms document types are categorized and retention schedules structured by document type. This consistent schema enables automated expiration tracking and procedure-consent matching. Full formal ontology isn't required — field-level joins between scheduled procedures and consent records are sufficient for the automated workflow.

Automated consent management needs access to the procedure scheduling system and the EHR consent document repository. The baseline confirms EHR provides user interface access with limited programmatic access, and HIM systems connect to EHR. However, programmatic access to the scheduling system for automated consent generation triggering is not fully established in the baseline — scheduling and consent systems may require manual export/import. L2 is achievable: some integrations exist (EHR-HIM connection), but real-time API access to scheduling for automated trigger is limited.

Consent requirements change when new procedures are added to the surgical schedule, when regulatory guidance updates (e.g., new informed consent requirements for specific implants), or when research protocols change consent forms. These are event-triggered changes requiring timely update — not quarterly scheduled review. When a new cardiac procedure is added to the OR schedule without updating the consent requirement mapping, the AI generates consent packets that omit required forms, creating medical-legal risk for every procedure until the mapping is corrected.

Automated consent management requires connection between the consent management system, the EHR (consent document repository and patient records), and the procedure scheduling system (to trigger consent generation). The HIM baseline confirms HIM systems connect to EHR. A point-to-point integration between consent management and EHR is the achievable state. Patient portal delivery of consent forms may operate through a separate integration. Full API-based connections to scheduling, research management, and clinical trial systems are beyond current baseline integration capacity.