Systems and methods for deidentification of unstructured data using semi-structured elements

A system for deidentification of unstructured data using semi-structured elements, wherein the system comprises:

• at least a processor;
• and
• a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:
• receive a plurality of case data;
• input the plurality of case data into a pattern detection machine-learning model;
• generate, using the at least a processor, a template structure by tagging regions of the case data corresponding to detected elements;
• receive, from the pattern detection machine-learning model, the template structure corresponding to a set of case data from the plurality of case data;
• input the template structure and case data into a data de-identification module;
• receive a de-identified set of case data and;
• populate, using the at least a processor, a chosen template with the deidentified set of case data, wherein the chosen template is stored in a data store, the data store being configured with access control restrictions.