Computer-implemented system and method for guided assessments on medication effects

Abstract

A system for identifying secondary effects of medications. The system may include one or more processors and a storage medium. The storage medium may stores instructions that configure the processors to perform operations. As configured, the processors may retrieve records associated with medications from servers. The processors may also extract machine readable content from records and identify portions that are associated with secondary effects of medications. Further, the processors may aggregate identified portions in a database, determine a level of evidence for records based on sources, associate records with metadata indicating the level of evidence; and generate index files mapping the markup language files, the metadata tags, and the medications. Moreover, the processor may receive search queries from a client, identify a subset of the records associated with medications in the query using index files, and transmit the identified subset ranked according to the level of evidence.

1 .- 20 . (canceled) 
     
     
         21 . A system for guided assessment of medication effects, the system comprising:
 at least one processor; and   at least one memory storing instructions that, when executed, configure the at least one processor to perform operations comprising:
 receiving a client query from a client device, the client query comprising data associated with at least one medication; 
 generating a standardized query by de-identifying patient information in the client query and using dictionary entries for standardized dictionary coding; 
 generating a searchable file based on the standardized query, the searchable file comprising content from the standardized query; 
 populating a plurality of metadata tags for the searchable file, the plurality of metadata tags comprising: a tag indicative of a level of evidence category, a tag indicative of medication identification, and a tag indicative of the client device, the tag indicative of the level of evidence indicating one of four categories; 
 storing the searchable file in a database; and 
 generating one or more index files mapping the searchable file, the metadata tags, and the at least one medication. 
   
     
     
         22 . The system of  claim 21 , wherein the at least one memory further stores instructions that, when executed, configure the at least one processor to perform operations comprising:
 adding the one or more index files to stored database index files, the database index files being associated with a plurality of records in the database;   identifying a subset of records from the plurality of records based on database index files, the subset comprising: (a) records associated with the at least one medication, (b) records identifying side effects or adverse events of the at least one medication, and (c) records associated with at least one of the four categories; and   transmitting, to the client device, the identified subset of records ranked according to the level of evidence category.   
     
     
         23 . The system of  claim 22 , wherein the operations further comprise:
 generating a feedback graphical user interface for the client device, the feedback graphical user interface comprising a summary of results section indicating a quantity of records associated with the client query and a ranking associated with each of the records.   
     
     
         24 . The system of  claim 23 , wherein the searchable file comprises an XML file. 
     
     
         25 . The system of  claim 21 , wherein:
 the client query comprises data associated with at least one patient condition; and   the at least one memory further stores instructions that, when executed, configure the at least one processor to perform operations comprising:
 determining a trend by aggregating the searchable file to records in the database related to the least one medication and estimating a correlation between the at least one medication and the at least one patient condition; and 
 transmitting a notification of emerging trend to the client device. 
   
     
     
         26 . The system of  claim 25 , wherein the at least one memory further stores instructions that, when executed, configure the at least one processor to perform operations comprising:
 training a machine learning model using at least a portion of (a) records in the database, (b) the one or more index file, and (c) the searchable file; the machine learning model being configured to generate a classifier that correlates medications and patient conditions.   
     
     
         27 . The system of  claim 21 , wherein
 the four categories comprise:
 a first category associated with masked randomized clinical trial sources, 
 a second category associated with at least one of unmasked randomized clinical trial sources or open label trials sources, 
 a third category associated with clinical case-control studies sources, and 
 a fourth category associated with clinical event reporting sources; 
   wherein the tag indicative of the level of evidence category is associated with the third category or the fourth category.   
     
     
         28 . The system of  claim 21 , wherein using dictionary entries for standardized dictionary coding comprises querying at least one of Medical Dictionary for Regulatory Activities (MedDRA), a healthcare term dictionary, or World Health Organization Drug Global dictionary databases to identify codings associated with the client query. 
     
     
         29 . The system of  claim 21 , wherein the client query comprises data associated with a patient symptom, data associated with a course of action, and data associated with a patient response. 
     
     
         30 . A method for guided assessment of medication effects, the method comprising:
 receiving a client query from a client device, the client query comprising data associated with at least one medication;   generating a standardized query by de-identifying patient information in the client query and using dictionary entries for standardized dictionary coding;   generating a searchable file based on the standardized query, the searchable file comprising content from the standardized query;   populating a plurality of metadata tags for the searchable file, the plurality of metadata tags comprising: a tag indicative of a level of evidence category, a tag indicative of medication identification, and a tag indicative of the client device, the tag indicative of the level of evidence indicating one of four categories;   storing the searchable file in a database; and   generating one or more index files mapping the searchable file, the metadata tags, and the at least one medication.   
     
     
         31 . The method of  claim 30 , further comprising:
 adding the one or more index files to stored database index files, the database index files being associated with a plurality of records in the database;   identifying a subset of records from the plurality of records based on database index files, the subset comprising: (a) records associated with the at least one medication, (b) records identifying side effects or adverse events of the at least one medication, and (b) records associated with at least one of the four categories; and   transmitting, to the client device, the identified subset of records ranked according to the level of evidence category.   
     
     
         32 . The method of  claim 31  further comprising:
 generating a feedback graphical user interface for the client device, the feedback graphical user interface comprising a summary of results section indicating a quantity of records associated with the client query and a ranking associated with each of the records. 
 
     
     
         33 . The method of  claim 32 , wherein the searchable file comprises an XML file. 
     
     
         34 . The method of  claim 30 , wherein
 the client query comprises data associated with at least one patient condition; and   the method further comprises:
 determining a trend by aggregating the searchable file to records in the database related to the least one medication and estimating a correlation between the at least one medication and the at least one patient condition; and 
 transmitting a notification of emerging trend to the client device. 
   
     
     
         35 . The method of  claim 34 , further comprising:
 training a machine learning model using at least a portion of (a) records in the database, (b) the one or more index file, and (c) the searchable file, the machine learning model being configured to generate a classifier that correlates medications and patient conditions.   
     
     
         36 . The method of  claim 30 , wherein
 the four categories comprise:
 a first category associated with masked randomized clinical trial sources, 
 a second category associated with at least one of unmasked randomized clinical trial sources or open label trials sources, 
 a third category associated with clinical case-control studies sources, and 
 a fourth category associated with clinical event reporting sources; 
   wherein the tag indicative of the level of evidence category is associated with the third category or the fourth category.   
     
     
         37 . The method of  claim 30 , wherein using dictionary entries for standardized dictionary coding comprises querying at least one of Medical Dictionary for Regulatory Activities (MedDRA) or World Health Organization Drug Global dictionary databases to identify codings associated with the client query. 
     
     
         38 . The method of  claim 30 , wherein the client query comprises data associated with a patient symptom, data associated with a course of action, and data associated with a patient response. 
     
     
         39 . A system comprising:
 one or more processors; and   one or more memory devices storing instructions that, when executed, configure the one or more processors to perform operations comprising:
 receiving a client query from a client device, the client query comprising data associated with at least one medication; 
 generating a standardized query by de-identifying patient information in the client query and using dictionary entries for standardized dictionary coding; 
 generating a searchable file based on the standardized query, the searchable file comprising content from the standardized query; 
 populating a plurality of metadata tags for the searchable file, the plurality of metadata tags comprising: a tag indicative of a level of evidence category, a tag indicative of medication identification, and a tag indicative of the client device, the tag indicative of the level of evidence indicating one of four categories; 
 storing the searchable file in a database; 
 generating one or more index files mapping the searchable file, the metadata tags, and the at least one medication; 
 adding the one or more index files to database index files, the database index files being associated with a plurality of records in the database; 
 identifying a subset of records from the plurality of records based on database index files, the subset comprising: (a) records associated with the at least one medication, (b) records identifying side effects or adverse events of the at least one medication, and (c) records associated with at least one of the four categories; and 
 transmitting, to the client device, the identified subset of records ranked according to the level of evidence category. 
   
     
     
         40 . The system of  claim 39 , wherein the instructions further configure the one or more processors to perform operations comprising: categorizing a severity of the at least one medication for each client query utilizing drug warning lists such as FDA warnings.