Human and Machine Assisted Data Curation for Producing High Quality Data Sets from Medical Records

A system for building a Patient's Data Set from a Patient's Data File to provide robust patient care, said system performing the steps of:

• reading a document input from a Patient's Data File;
• extracting at least one data feature from said document using a training set, said training set comprised of at least one desired feature from the Patient's Data File, said at least one desired feature being pre-supplied to said application, said extracted data feature comprising a Patient's Data Set;
• and
• analyzing the Patient's Data Set to confirm patient course of treatment.

A method for optimizing robust patient care, said method comprising the steps of:

• obtaining a first Patient's Data File, said patient having a specific medical diagnosis;
• building a training set for machine learning through experts' selection of at least one desired feature from the Patient's Data File to create a Patient's Data Set;
• developing a data mining algorithm to automate extraction of said at least one data feature using the training set, said algorithm automatically generating said Patient's Data Set;
• obtaining at least one other Patient's Data File, said other patient having the same medical diagnosis as the first patient;
• using the data mining algorithm to create a Patient's Data Set for said other patient;
• analyzing the Patient's Data Set for the first patient and said another patient to seek correlations;
• and
• applying correlations to confirm the patient's course of treatment.

A system for optimizing robust patient care, said system performing the steps of:

• obtaining a first Patient's Data File, said patient having a specific medical diagnosis;
• obtaining at least one other Patient's Data File, said another patient having the same medical diagnosis as the first patient;
• extracting at least one data feature from the Patient's Data File using a training set, said training set comprised of at least one desired feature from the Patient's Data File, said at least one desired feature being pre-supplied to said application, said extracted data feature comprising a Patient's Data Set;
• analyzing the Patient's Data Set for the first patient and said other patient to seek correlations;
• and
• applying correlations to confirm the patient's course of treatment.

A method for building a data registry, said method comprising the steps of:

• obtaining a first Patient's Data File, said patient having a specific medical diagnosis;
• building a training set for machine learning through experts' selection of at least one desired feature from the Patient's Data File to create the Patient's Data Set;
• developing a data mining algorithm to automate extraction of said at least one data feature using the training set, said algorithm automatically generating said Patient's Data Set;
• obtaining at least one other Patient's Data File, said other patient having the same medical diagnosis as the first patient;
• using the data mining algorithm to create a Patient's Data Set for said other patient;
• and
• storing the first Patient's Data Set and the other Patient's Data Set in a computer readable medium, wherein said data sets are able to be accessed by a user.

A method for providing robust patient care, said method comprising the steps of:

• obtaining a Patient's Data Set;
• acquiring a patient's self tracking data;
• analysing said self tracking data via a pre-determined search criteria;
• comparing the results of the said pre-determined search criteria with a Patient's Data Set;
• providing the patient with diagnosis specific information based on the analysis of patient's self tracking data.