Patent ID: 11923051
Assignee: APRICITY HEALTH LLC
Field: Medical technology (Instruments)
Classification: CPC G  Y | IPC G

Claim 0:
1. A computer-implementable method of processing patient related information in a health artificial intelligence system comprising:
creating digital therapeutics (DTx) knowledge models from clinical physician expertise;
validating corpus of the digital therapeutics (DTx) knowledge models that generate specific written and spoken languages;
creating condition models and symptom models for processing the digital therapeutics (DTx) knowledge models;
creating digital therapeutics (DTx) natural language models based on the corpus of the digital therapeutics (DTx) knowledge models that generate specific written and spoken languages;
converting clinical models and the condition models to reconfigurable runtime implementations based on organization, government regulations, treatment protocols, and physician requirements using the digital therapeutics (DTx) knowledge models and digital therapeutics (DTx) natural language models;
creating multiple program content versions of natural language content, clinical physician, and the converted condition models using the digital therapeutics (DTx) knowledge models and digital therapeutics (DTx) natural language models; and
creating deep layer patient profiles (DLPP) of patient data used to turn related and structured patient data into a multidimensional unstructured data format that is processed with machine learning and image processing algorithms, wherein the DLPP is anonymized to be implemented with algorithms focused on binary and intensity operations that include image processing and image learning.