Creating Data from Document Images

Converting paper and other types of documents to digital form enables more efficient storage and easier retrieval. Many clients find that, with a few additional steps in the conversion process, high-value content can be keyed (i.e., abstracted) from source documents and used in a variety of ways.

  • Data keyed from source documents can be used to enhance existing databases already being used in client operations. Dates of key events, legal names and descriptions or explanations of actions taken are examples of high-value data elements that can be used to perfect existing production files.
  • Keyed data can provide greater detail about source documents and can help with locating document images. This is referred to a “meta data.” For example, in addition to record or transaction number, the names of individuals and companies that are parties to a transaction can be used as search criteria to retrieve documents.
  • Documents can be reviewed, interpreted and codified using transaction codes that may be useful for tracking and billing process. For example, health care companies are required to code certain medical records using an International Statistical Classification of Diseases (ICD) table in order to meet federal health guidelines and payment processing requirements established by participating insurance companies.

FNTI’s conversion process can incorporate coding and abstracting steps that create high-value data derived from the source documents being converted. Included in these steps are quality assurance methods, such as double-data entry, to ensure the accuracy of data coding.


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