AI Digitization
How do clinical coordinators digitize existing paper forms using AI?
Many clinical departments and research sites have folders filled with legacy paper consent forms, or locked PDF documents that are legally approved but static. Converting these into interactive digital documents is a massive administrative challenge. The AI Digitization tool allows coordinators to upload a PDF or photo of an existing form and instantly reconstruct it into an active, structured clinical layout in seconds.
Why is the AI Digitization tool important for trial sites?
Manual typing and copy-pasting of legacy forms into new systems is incredibly slow and highly prone to human error—such as missing vital disclosure paragraphs or omitting required witness signature blocks. The AI Digitization tool automates this transition. It instantly structures raw text into compliant narrative blocks, checkable matrices, and role-mapped signature slots, dramatically accelerating clinical trial onboarding and inpatient admissions setup.
How does the AI Digitization engine work under the hood?
The digitization process operates through a sophisticated, three-stage processing pipeline:
What is the text extraction phase?
When a coordinator uploads a document (PDF, PNG, or JPG) in the Digitize tab, the platform performs advanced text extraction. It parses digital PDF strings or runs high-fidelity optical character recognition (OCR) on scans and photos to capture every word, header, checkbox, and signature marker.
How does the AI reconstruction phase compile structured documents?
The raw, unstructured text is sent to our advanced AI clinical layout engine.
- The AI analyzes the layout and meaning of the text.
- It automatically groups the text into Clinical Narrative Sections, Notice Boxes with appropriate severities, Bullet Lists for risks and steps, Info Grids for patient fields, and Attestation & Signature Panels dynamically mapped to the correct roles.
- It assigns compliance IDs to every item, preparing a fully formatted draft.
What is the deterministic fallback safety compiler?
If the AI encounters a heavily distorted scan, or if the formatting fails, a local resilient fallback compiler instantly takes over.
- Rather than displaying a blank error screen, this local program parses the text line-by-line.
- It automatically converts brackets (e.g.
[ ]) into interactive checklists, bullet symbols into lists, and signature keywords into fully functional signature panels. This guarantees that the clinical coordinator always receives a highly functional workspace that they can easily review and edit.
What are the current limitations of the AI Digitization engine?
While the digitization engine is highly advanced, clinical coordinators should be aware of its operational boundaries:
Why might the AI struggle on highly complex forms?
Layout digitization is one of the most complex challenges in clinical software engineering. If a legacy form features extremely dense comparison tables, custom-drawn diagrams with embedded texts, or multi-column legal disclosures, the AI may occasionally struggle to place components with 100% precision.
How does the team improve the digitization engine?
Our engineering and product teams are dedicated to clinical accuracy. We are working on the digitization engine every single day to refine our character recognition, improve table reconstruction, and enhance semantic layout understanding. As deep-learning models evolve, we update the platform to make digitization even more robust.
Why is the Copy & Paste option highly recommended as a robust alternative?
For highly complex, multi-column, or non-standard legacy documents, using the Copy & Paste option in the Launchpad is highly recommended.
- Instead of relying on image-to-text OCR, you simply paste the raw text of your document into our intelligent intake box.
- The system’s smart parser processes the text and instantly converts it into clean, standardized clinical sections and elements. This provides coordinators with an incredibly reliable, highly accurate baseline that is ready for clinical review and Pre-Flight configuration.