US 2023/0420146 A1Published application

Ai driven smart patient labeling system

AssigneeInternational Business Machines Corporation

InventorsSaigeetha Aswathnarayanan Jegannathan, Sridhar Jonnala, V Datta Kamesam Jami, Chinthalapudi Venkata Sai Vishnu Vardhan, Naman Mathur, Shivangi Tak, Kartikeya Vats

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Abstract

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.

Claims20

Dependent claims

A computer-implemented method comprising:

receiving, by one or more processors, a pair of documents from a user, wherein the pair of documents include a Scientific Drug Label and a Patient Drug Label;
converting, by the one or more processors, a complex medical language of the Scientific Drug Label into a simplified patient friendly language;
analyzing, by the one or more processors, the simplified patient friendly language to identify one or more words, one or more phrases, or one or more sentences that have been modified, inserted, or deleted;
responsive to determining the one or more words, the one or more phrases, or the one or more sentences are relevant to a patient, classifying, by the one or more processors, the one or more words, the one or more phrases, or the one or more sentences in one or more categories;
searching, by the one or more processors, for a location in the Patient Drug Label that closely maps to the one or more words, the one or more phrases, or the one or more sentences to the Scientific Drug Label;
incorporating, by the one or more processors, the one or more words, the one or more phrases, or the one or more sentences in a mapped location of the Patient Drug Label;
and
outputting, by the one or more processors, an updated Patient Drug Label to the user.

5 more elements

A computer program product comprising:

one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
program instructions to receive a pair of documents from a user, wherein the pair of documents include a Scientific Drug Label and a Patient Drug Label;
program instructions to convert a complex medical language of the Scientific Drug Label into a simplified patient friendly language;
program instructions to analyze the simplified patient friendly language to identify one or more words, one or more phrases, or one or more sentences that have been modified, inserted, or deleted;
responsive to determining the one or more words, the one or more phrases, or the one or more sentences are relevant to a patient, program instructions to classify the one or more words, the one or more phrases, or the one or more sentences in one or more categories;
program instructions to search for a location in the Patient Drug Label that closely maps to the one or more words, the one or more phrases, or the one or more sentences to the Scientific Drug Label;
program instructions to incorporate the one or more words, the one or more phrases, or the one or more sentences in a mapped location of the Patient Drug Label;
and
program instructions to output an updated Patient Drug Label to the user.

6 more elements

A computer system comprising:

one or more computer processors;
one or more computer readable storage media;
program instructions collectively stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the stored program instructions comprising:
program instructions to receive a pair of documents from a user, wherein the pair of documents include a Scientific Drug Label and a Patient Drug Label;
program instructions to convert a complex medical language of the Scientific Drug Label into a simplified patient friendly language;
program instructions to analyze the simplified patient friendly language to identify one or more words, one or more phrases, or one or more sentences that have been modified, inserted, or deleted;
responsive to determining the one or more words, the one or more phrases, or the one or more sentences are relevant to a patient, program instructions to classify the one or more words, the one or more phrases, or the one or more sentences in one or more categories;
program instructions to search for a location in the Patient Drug Label that closely maps to the one or more words, the one or more phrases, or the one or more sentences to the Scientific Drug Label;
program instructions to incorporate the one or more words, the one or more phrases, or the one or more sentences in a mapped location of the Patient Drug Label;
and
program instructions to output an updated Patient Drug Label to the user.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/809,416Filed 28 Jun 2022
Published: 28 Dec 2023
Term ends: Not estimatedThe source records don’t support an estimate.

Classification12 codes

G06F 40/279
Natural language analysis: recognition of textual entities
G16H 70/40
ICT specially adapted for the handling or processing of medical references: relating to drugs, e.g. their side effects or intended usage
G06F 40/253
Natural language analysis: grammatical analysis; Style critique
G06F 40/289
Recognition of textual entities: phrasal analysis, e.g. finite state techniques or chunking