/System And Method For Generating And Delivering Patient-specific Medication Instructions
Abstract

A system and method for generating and delivering patient-specific medication instructions are disclosed. Structured prescription data associated with a medication order is retrieved from an Electronic Health Record (EHR) data source in response to a request initiated through a user device. Personally identifiable information in the retrieved prescription data is masked to generate sanitized prescription data. Accessibility parameters associated with a patient profile, including preferred language, literacy level, visual impairment, dyslexia, and audio preference indicators, are retrieved. Medication instruction content is extracted from the sanitized prescription data and transformed into a normalized semantic representation comprising standardized medication instruction attributes. Patient-specific medication instructions are generated from the normalized semantic representation using artificial-intelligence-based constrained language generation engines. The generated instructions are rendered on the user device in various output formats, including audio output generated using a text-to-speech synthesis engine.

Full Text

What is claimed is:

A system and method for generating and delivering patient-specific medication instructions are disclosed. Structured prescription data associated with a medication order is retrieved from an Electronic Health Record (EHR) data source in response to a request initiated through a user device. Personally identifiable information in the retrieved prescription data is masked to generate sanitized prescription data. Accessibility parameters associated with a patient profile, including preferred language, literacy level, visual impairment, dyslexia, and audio preference indicators, are retrieved. Medication instruction content is extracted from the sanitized prescription data and transformed into a normalized semantic representation comprising standardized medication instruction attributes. Patient-specific medication instructions are generated from the normalized semantic representation using artificial-intelligence-based constrained language generation engines. The generated instructions are rendered on the user device in various output formats, including audio output generated using a text-to-speech synthesis engine.
Timeline
Filed
04/13/2026
Published
08/13/2026
Granted
Not Available
IPC Codes(2)
G16H 20/10:relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 70/40:relating to drugs, e.g. their side effects or intended usage