17809416. AI DRIVEN SMART PATIENT LABELING SYSTEM simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

AI DRIVEN SMART PATIENT LABELING SYSTEM

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Saigeetha Aswathnarayanan Jegannathan of Bangalore (IN)

Sridhar Jonnala of Bangalore (IN)

V Datta Kamesam Jami of Srikakulam (IN)

Chinthalapudi Venkata Sai Vishnu Vardhan of Kandukur (IN)

Naman Mathur of Jaipur (IN)

Shivangi Tak of Gurgaon (IN)

Kartikeya Vats of Dehradun (IN)

AI DRIVEN SMART PATIENT LABELING SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17809416 titled 'AI DRIVEN SMART PATIENT LABELING SYSTEM

Simplified Explanation

The abstract describes a method for automatically identifying updates in a Scientific Drug Label (SL) and incorporating them into a simplified Patient Drug Label (PL). The method involves converting complex medical language into patient-friendly language, identifying modified or new content in the SL, finding corresponding locations in the PL, and incorporating the updates into the PL.

• The method automatically identifies updates in a Scientific Drug Label (SL).
• The updates are incorporated into a simplified Patient Drug Label (PL).
• Complex medical language in the SL is converted into patient-friendly language.
• Modified, inserted, or deleted content in the SL is identified.
• Corresponding locations in the PL are found for the identified updates.
• The updates are incorporated into the mapped locations of the PL.

Potential Applications

• Pharmaceutical companies can use this method to automatically update patient drug labels with the latest information from scientific drug labels.
• Healthcare providers can benefit from having patient drug labels that are up-to-date and easy for patients to understand.

Problems Solved

• Manual updating of patient drug labels can be time-consuming and prone to errors.
• Complex medical language in scientific drug labels can be difficult for patients to understand.
• Ensuring that patient drug labels accurately reflect the latest information from scientific drug labels can be challenging.

Benefits

• Automation of the updating process saves time and reduces the risk of errors.
• Patient drug labels are simplified and easier for patients to comprehend.
• Patient drug labels are kept up-to-date with the latest information from scientific drug labels.

Original Abstract Submitted

In an approach for automatically identifying one or more updates in a Scientific Drug Label (SL) relevant to a patient and incorporating the one or more updates into a Patient Drug Label (PL), a processor receives a pair of documents, wherein the pair of documents include the SL and the PL. A processor converts a complex medical language of the SL into a simplified patient friendly language. A processor identifies one or more words, one or more phrases, or one or more sentences that have been modified, inserted, or deleted. A processor searches for a location in the PL that closely maps to the one or more words, the one or more phrases, or the one or more sentences to the SL. A processor incorporates the one or more words, the one or more phrases, or the one or more sentences in a mapped location of the PL.