Methods and systems for subject information data cleansing and management using machine learning

A non-transitory computer-readable storage medium, comprising program instructions, which, when executed by one or more processors of a computing system, perform a method comprising:

• receiving subject information, wherein
• the subject information is raw data and comprises
• received identifying information, and
• received subject data, and
• the received identifying information and the received subject data are for a subject;
• producing cleansed subject information, wherein
• the producing the cleansed subject information comprises
• retrieving existing identifying information and existing subject data from a subject information system database, wherein
• the existing identifying information identifies a plurality of subjects, and
• performing a data cleansing operation using the received identifying information and the existing identifying information,
• the data cleansing operation comprises
• performing a fuzzy string matching operation between the received identifying information and the existing identifying information,
• determining whether a result of the fuzzy string matching operation meets a match confidence level, and
• in response to a determination that a result of the fuzzy matching operation meets the match confidence level,
• indicating that the received identifying information is sufficiently accurate to identify the subject as having a sufficient match confidence level;
• identifying the subject as an identified subject based, at least in part, on the cleansed subject information;
• and
• in response to a determination that the subject is the identified subject,
• associating the received subject data with a subject record of the identified subject in the subject information system database, comprising importing at least a portion of the received subject data into the subject information system database.

A computing device comprising:

• one or more hardware processors;
• a storage device, communicatively coupled to the one or more hardware processors and comprising a subject information system database;
• and
• a computer-readable storage medium, communicatively coupled to the one or more hardware processors and comprising program instructions, which, when executed by the one or more hardware processors, perform a method comprising
• receiving subject information, wherein
• the subject information is raw data and comprises
• received identifying information, and
• received subject data, and
• the received identifying information and the received subject data are for a subject,
• producing cleansed subject information, wherein
• the producing the cleansed subject information comprises
• retrieving existing identifying information and existing subject data from the subject information system database, wherein
• the existing identifying information identifies a plurality of subjects, and
• performing a data cleansing operation using the received identifying information and the existing identifying information,
• the data cleansing operation comprises
• performing a fuzzy string matching operation between the received identifying information and the existing identifying information,
• determining whether a result of the fuzzy string matching operation meets a match confidence level, and
• in response to a determination that a result of the fuzzy matching operation meets the match confidence level,
• indicating that the received identifying information is sufficiently accurate to identify the subject as having a sufficient match confidence level,
• identifying the subject as an identified subject based, at least in part, on the cleansed subject information, and
• in response to a determination that the subject is the identified subject,
• associating the received subject data with a subject record of the identified subject in the subject information system database, comprising importing at least a portion of the received subject data into the subject information system database.