Capture Information from Across Healthcare Operations

Bring all incoming patient, clinical, financial and operational documentation into Scan2x—regardless of source or format.

• Documents: Patient registration forms, medical records, clinical notes, prescriptions, lab reports, discharge summaries, insurance claims, invoices, staff records, HR files, procurement documents, consent forms and referral letters
• Channels: Email, hospital systems, online forms, mobile devices, scanner stations, shared drives and physical paperwork from departments and wards

Why it matters: Scan2x creates a single point of capture for all healthcare information, reducing manual handling, improving coordination between departments and ensuring critical documents are available when and where they are needed.

Extract and Structure Healthcare Information Using AI

Transform unstructured medical and operational documents into structured, usable data that can be processed instantly across healthcare systems.

• Scan2x uses AI-powered OCR and intelligent data extraction to process clinical documents, patient forms, prescriptions, invoices, insurance claims, staff records and legacy paper archives
• It automatically identifies and classifies document types, distinguishing between patient records, clinical documentation, financial records, HR files, pharmacy documents and operational paperwork, ensuring correct routing without manual intervention

Examples: Patient IDs, medical record numbers, diagnosis codes, prescription details, lab results, invoice amounts, insurance policy numbers, staff credentials, appointment dates, signatures and compliance-related fields.

Ensure Accuracy, Compliance and Clinical Governance

Ensure every document is validated, consistent and compliant before it is used in patient care, billing, staffing or operational processes.

• Scan2x applies configurable validation rules to healthcare documents such as patient forms, prescriptions, invoices, insurance claims and staff records to ensure completeness and accuracy
• Automated cross-checks identify missing patient data, duplicate records, mismatched insurance details, invalid prescriptions or incomplete documentation before processing continues
• Exceptions are flagged for review, enabling a controlled human-in-the-loop process that supports clinical safety, operational accuracy and regulatory compliance

Examples: Insurance mismatch vs patient records, missing consent forms, duplicate patient files, incorrect billing codes, expired staff certifications, incomplete prescriptions, missing signatures or approvals

Send Trusted Data to Your Healthcare Systems

Once validated, Scan2x delivers clean, structured data directly into the systems that power clinical, administrative and operational healthcare processes.

• Integration with HIS, EHR/EMR systems, pharmacy systems, billing platforms, HR systems and procurement systems ensures seamless data flow across the organisation
• Secure APIs and connectors enable integration with hospital information systems, clinical management platforms and departmental applications

Outcome: Accurate, validated data flows directly into patient records, clinical workflows, finance systems, pharmacy operations and staff management systems—eliminating manual re-entry and delays.

Turn Healthcare Data into Operational Intelligence

Gain real-time visibility into document and workflow performance across the entire healthcare organisation.

• Scan2x provides insight into patient onboarding, clinical documentation, insurance processing, staffing records and operational workflows, helping identify bottlenecks and delays
• Key metrics include turnaround times for patient admissions, claim processing, document accuracy and workflow efficiency across departments

Full audit trails are maintained for every document, ensuring traceability, accountability and compliance with healthcare regulations and internal governance standards.

Continuously Improve Efficiency and Clinical Throughput

Scan2x continuously improves processing accuracy and automation rates based on real-world healthcare document handling.

• Machine learning models refine extraction accuracy for complex healthcare documents such as medical forms, prescriptions, insurance claims, staff records and clinical reports
• Workflow optimisation increases straight-through processing across admissions, billing, pharmacy, HR and operational processes

Result: Reduced administrative burden, improved data accuracy, faster patient processing and lower operational costs across healthcare organisations.