Data Capture / Conversion Technology

CPI's technology team analyzes each project and applies advanced data capture techniques to assure quality and speed. Programmers can customize each project.

• OCR/ICR/OMR technology for automating data capture, with human operator verification of critical fields or data that cannot be reliably read by the scanners.
• Integration with customer supplied databases or validation lookups. For example, a health insurance claim is only valid if the patient is in the database of eligible subscribers. An address is only valid if it is included in the Postal Service database for a specific country. Data from a customer (such as a patient's marital status, dependents, employer, etc.) is automatically added to an output file by extracting information after matching the patient policy number.
• Logic rules comparing data from two or more fields. For example a sum of individual numbers must equal the total listed in the document, or a service date cannot be earlier than a birth date.
• File formatting to export the output data to your system specification, including multiple database files, ANSI formats, or output file types.
• Double/triple data entry (key-from-paper or key-from-image) – Data is entered by two or three independent key operators. The results are compared by the software and any discrepancies are corrected after reviewing the source document. For higher-level subjective decisions, documents are routed to supervisory staff, or US project managers to determine the correct data entry.
• Workflow management and control that verifies and tracks each batch of documents and output files for data capture (automated or manual), automated results checking, automated or human quality checks, batch delivery.
• Web-based project monitoring where each batch of documents is verified received, monitored through the data capture, quality checking, output file production, and delivery process. You can access the project monitoring system through the Internet.