Systems, methods, and apparatuses for generating structured data from unstructured data using natural language processing to generate a secure medical dashboard

A computer program product for generating a secure medical dashboard using natural language processing (NLP), wherein the computer program product comprises at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions which when executed by a processing device are configured to cause the processor to:

• identify at least one data input, wherein the at least one data input comprises unstructured data;
• apply at least one NLP pipeline to the at least one data input;
• parse, by the at least one NLP pipeline, the unstructured data of the at least one data input to generate a parsed unstructured dataset, wherein the parsed unstructured dataset comprises at least one term;
• identify, by the at least one NLP pipeline, a medical relevance attribute for the at least one term, wherein the medical relevance attribute comprises at least one of a positive medical attribute, a medical modifier attribute, or a negative medical attribute;
• generate, based on the medical relevance attribute for the at least one term, a structured document comprising the at least one term and associated medical relevance attribute;
• correlate, by the at least one NLP pipeline, the at least one term comprising the positive medical attribute to a medical entity title;
• generate a medical dashboard interface component comprising the at least one term comprising the positive medical attribute and the medical entity title;
• transmit the medical dashboard interface component to a user device to configure a graphical user interface of the user device;
• and
• generate, based on the medical dashboard interface component, a secure medical dashboard on the user device.

A computer-implemented method for generating a secure medical dashboard using natural language processing (NLP), the computer-implemented method comprising:

• identifying at least one data input, wherein the at least one data input comprises unstructured data;
• applying at least one NLP pipeline to the at least one data input;
• parsing, by the at least one NLP pipeline, the unstructured data of the at least one data input to generate a parsed unstructured dataset, wherein the parsed unstructured dataset comprises at least one term;
• identifying, by the at least one NLP pipeline, a medical relevance attribute for the at least one term, wherein the medical relevance attribute comprises at least one of a positive medical attribute, a medical modifier attribute, or a negative medical attribute;
• generating, based on the medical relevance attribute for the at least one term, a structured document comprising the at least one term and associated medical relevance attribute;
• correlating, by the at least one NLP pipeline, the at least one term comprising the positive medical attribute to a medical entity title;
• generating a medical dashboard interface component comprising the at least one term comprising the positive medical attribute and the medical entity title;
• transmitting the medical dashboard interface component to a user device to configure a graphical user interface of the user device;
• and
• generating, based on the medical dashboard interface component, a secure medical dashboard on the user device.