OCR Report Extractor Examples¶
Report extractors enable the user to automatically extract FHIR data from documents that share consistent structures or patterns.
Example Report Extractor¶
To demonstrate how a Report Extractor is used, let's say your organization receives many Carbohydrate Antigen 19-9 lab reports from Labcorp. Below is an example of such report:
OCR enables the user to manually extract the data from this lab report, but with multiple reports this quickly becomes repetitive, considering all of these reports are in a nearly identical format. In fact, if you could define a simple set of rules, this extraction could be automated and executed in a very reliable manner.
To manage these report extractors, open the file and navigate to the
Data Tables section. Within the data tables section, you will see a tab for report extractors. This is where report extractors can be created, updated, or deleted (more on this later). The user can also manually execute a report extractor to generate data or remove the data generated by a report extractor.
Rerun All Extractors, the
CA 19-9 extractor executes. Once this completes, you will see the extractor results within the table:
Results listed in this table are fully extracted data elements. The data elements are now persisted on the corresponding subject's record.
Note: You must assign a subject to the document before report extractors can execute.
Note: A user can enable report extractors to execute automatically when a document is uploaded.