Generation and data management of a medical study using instruments in an integrated media and medical system

• US 10,199,123 B2
• Filed: 06/11/2014
• Issued: 02/05/2019
• Est. Priority Date: 10/20/2009
• Status: Active Grant

• Current Assignee: Universal Research Solutions, LLC
• Original Assignee: Universal Research Solutions, LLC
• Inventors: Hussam, Ali Adel
• Primary Examiner(s): Perveen, Rehana
• Assistant Examiner(s): Hoffler, Raheem
• Application Number:
  US14/301,559
• Publication Number:
  US 20140298165A1
• Time in Patent Office: 1,700 Days
• Field of Search: 707756
• CPC Class Codes: G06F 16/20 of structured data, e.g. relational data
• CPC Class Codes: G06F 16/25 Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06F 16/258 Data format conversion from or to a database
• CPC Class Codes: G06F 16/31 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

In general, a computer-implemented method is described for receiving one or more requests to generate a medical study, retrieving from one or more data repositories one or more medical study instruments, receiving a selection of a particular medical study instrument to use in the medical study, generating by one or more computers a list of one or more research collaborators invited to review the medical study, and generating by one or more computers a list of one of more participants invited to join the medical study. Additionally, the computer-implemented method generates by one or more computer systems a data filter to format medical data from a first data format to a second data format, wherein the second data format complies with a third data format associated with one or more medical study instruments.

Claims

1. A method performed by one or more computer systems for generating a data structure that is mineable by one or more devices, the method comprising:

obtaining a data structure that includes data representing medical data from a first data source, wherein medical data represented by the obtained data structure is in a first format that does not comport with data fields of medical data stored in a second data source;

processing the obtained data structure that includes data representing medical data in a first format that does not comport with data fields of medical data stored in a second data source to generate a template data structure that includes data fields that comport with data fields of a second data source that are minable by one or more data mining tools, wherein processing the obtained data structure to generate the template data structure that includes data fields that comport with data fields of a second data source that are minable comprises;

detecting, in a field of the obtained data structure, a keyword that is also included in a keyword list data structure storing data representing a list of predefined keywords;

parsing the obtained data structure to obtain, from the data of the data structure that represents medical data, textual information related to the detected keywords;

modifying, based on a first mapping data structure that includes data representing a keyword-to-template mapping that defines a relationship between (i) each keyword in the list of predefined keywords and (ii) one or more fields of a template data structure, a first field of the template data structure to include the obtained textual information that is related to the detected keyword using the relationship defined by the first mapping data structure for the detected keyword;

obtaining, from a second mapping data structure that includes data representing a template-to-instrument mapping that defines a relationship between (i) the one or more fields of the template data structure and (ii) one or more instrument fields of an instrument that comprises a plurality of questions, data that identifies a particular relationship between the first field of the template data structure and a first instrument field;

accessing a formatting rule that defines a process for transforming the textual data that was inserted into the first field of the template data structure from an initial format to a different second format when presented in the first instrument field;

formatting the textual information inserted into the first field of the template data structure in accordance with the formatting rule, wherein formatting the textual information inserted into the first field of the template data structure in accordance with the formatting rule comprises transforming the textual data from the initial format to the different second format; and

inserting, based on the data identifying a particular relationship obtained from the second mapping data structure, the formatted textual information into the first instrument field.

2. The method of claim 1, wherein the instrument is a medical instrument.

3. One or more machine-readable hardware storage devices storing instructions that are executable by one or more processing devices to perform operations comprising:

obtaining a data structure that includes data representing medical data from a first data source, wherein medical data represented by the obtained data structure is in a first format that does not comport with data fields of medical data stored in a second data source;

processing the obtained data structure that includes data representing medical data in a first format that does not comport with data fields of medical data stored in a second data source to generate a template data structure that includes data fields that comport with data fields of a second data source that are minable by one or more data mining tools, wherein processing the obtained data structure to generate the template data structure that includes data fields that comport with data fields of a second data source that are minable comprises;

detecting, in a field of the obtained data structure, a keyword that is also included in a keyword list data structure storing data representing a list of predefined keywords;

parsing the obtained data structure to obtain, from the data of the data structure that represents medical data, textual information related to the detected keywords;

modifying, based on a first mapping data structure that includes data representing a keyword-to-template mapping that defines a relationship between (i) each keyword in the list of predefined keywords and (ii) one or more fields of a template data structure, a first field of the template data structure to include the obtained textual information that is related to the detected keyword using the relationship defined by the first mapping data structure for the detected keyword;

obtaining, from a second mapping data structure that includes data representing a template-to-instrument mapping that defines a relationship between (i) the one or more fields of the template data structure and (ii) one or more instrument fields of an instrument that comprises a plurality of questions, data that identifies a particular relationship between the first field of the template data structure and a first instrument field;

accessing a formatting rule that defines a process for transforming the textual data that was inserted into the first field of the template data structure from an initial format to a different second format when presented in the first instrument field;

formatting the textual information inserted into the first field of the template data structure in accordance with the formatting rule, wherein formatting the textual information inserted into the first field of the template data structure in accordance with the formatting rule comprises transforming the textual data from the initial format to the different second format; and

inserting, based on the data identifying a particular relationship obtained from the second mapping data structure, the formatted textual information into the first instrument field.

4. The one or more machine-readable hardware storage devices of claim 3, wherein the instrument is a medical instrument.

5. An electronic system comprising:

one or more processing devices; and

one or more machine-readable hardware storage devices storing instructions that are executable by the one or more processing devices to perform operations comprising;

obtaining a data structure that includes data representing medical data from a first data source, wherein medical data represented by the obtained data structure is in a first format that does not comport with data fields of medical data stored in a second data source;

processing the obtained data structure that includes data representing medical data in a first format that does not comport with data fields of medical data stored in a second data source to generate a template data structure that includes data fields that comport with data fields of a second data source that are minable by one or more data mining tools, wherein processing the obtained data structure to generate the template data structure that includes data fields that comport with data fields of a second data source that are minable comprises;

detecting, in a field of the obtained data structure, a keyword that is also included in a keyword list data structure storing data representing a list of predefined keywords;

parsing the obtained data structure to obtain, from the data of the data structure that represents medical data, textual information related to the detected keywords;

modifying, based on a first mapping data structure that includes data representing a keyword-to-template mapping that defines a relationship between (i) each keyword in the list of predefined keywords and (ii) one or more fields of a template data structure, a first field of the template data structure to include the obtained textual information that is related to the detected keyword using the relationship defined by the first mapping data structure for the detected keyword;

obtaining, from a second mapping data structure that includes data representing a template-to-instrument mapping that defines a relationship between (i) the one or more fields of the template data structure and (ii) one or more instrument fields of an instrument that comprises a plurality of questions, data that identifies a particular relationship between the first field of the template data structure and a first instrument field;

accessing a formatting rule that defines a process for transforming the textual data that was inserted into the first field of the template data structure from an initial format to a different second format when presented in the first instrument field;

formatting the textual information inserted into the first field of the template data structure in accordance with the formatting rule, wherein formatting the textual information inserted into the first field of the template data structure in accordance with the formatting rule comprises transforming the textual data from the initial format to the different second format; and

inserting, based on the data identifying a particular relationship obtained from the second mapping data structure, the formatted textual information into the first instrument field.

6. The electronic system of claim 5, wherein the instrument is a medical instrument.