Automating anaesthesia documentation with SDC

Kai Sucigan shows how Clinomic uses FHIR SDC in Mona to automate pre-anaesthesia assessment documentation — a workflow that spans surgeons requesting the assessment, anaesthetists performing it, and patients contributing self-reported data. Clinomic is MDR Class 2A certified, and Kai explains how that shapes the design: every data point entering the system from patient self-report is treated as unvalidated until a clinician confirms it, so population and extraction are wired specifically around that clinical review step.

The core SDC pattern in Mona: patient self-report pre-populates clinician-facing questionnaires, clinicians validate and confirm, and extraction produces discrete FHIR resources (scores, risk assessments) that persist beyond the QuestionnaireResponse and are reusable for downstream workflows.

Rather than one large form, Clinomic breaks the assessment into multiple small, highly specialized questionnaires so tasks can be completed independently across time without hard dependencies. The UI adapts by role and context: a sequential wizard for the surgical request, a mobile-optimized layout for patient self-report, an information-dense view for the clinician performing the assessment, and an expert mode that hides familiar scoring systems for experienced clinicians.

Kai's honest take on the hardest part: it was not building the forms, it was deciding which data belongs in which questionnaire and where extracted resources should land.

Same building blocks Clinomic uses: Formbox delivers SDC-native form authoring, patient-facing rendering, and template-based extraction — MDR-compatible and ready to plug into an existing FHIR-based clinical workflow.