Systems and Methods for Subject Identification (ID) Modeling
Systems and methods for subject identification (ID) modeling are disclosed. A subject identification may be associated with information contained in one or more core domains such as a patient domain, a country domain, and/or an investigator domain. The domains can be generically designed such that data sources that are unknown at the time the domains are created can be managed. In this way, using generic structures that support the domains, data sources can be added and/or updated as additional information and/or data sources become available. Using various graphical user interfaces, a user can dynamically associate patient criteria, country criteria, investigator criteria, and/or other information with subject identifications. A subject identification may be associated with a specified capture date. Information contained in the various domains may be filtered such that only information contained in the domain on or before the capture date is available for the subject identification.
1 . A method comprising:
receiving selection of a subject identification, the subject identification corresponding with at least a subject name;
receiving selection of a patient parameter, the patient parameter corresponding with at least one of a physical characteristic or an illness;
receiving selection of an investigator parameter, the investigator parameter corresponding with at least one of a trial, a phase, or a medical indicator;
receiving selection of a geographic parameter, the geographic parameter corresponding with at least one of a geographic location or a geographic statistic;
dynamically creating associations between the subject identification and the patient parameter, the investigator parameter, and the geographic parameter; and
determining at least one potential site for a clinical trial based at least in part on the dynamically created associations.
2 . The method of claim 1 , further comprising:
conducting the clinical trial based at least in part on the determined at least one potential site.
3 . The method of claim 1 , where receiving selection of the subject identification comprises:
receiving selection of the subject name from a plurality of predefined subject names.
4 . The method of claim 1 , where receiving selection of the subject identification comprises:
receiving a first input, the first input indicating the subject name;
receiving a second input, the second input indicating a molecule team; and
dynamically creating the subject identification.
5 . The method of claim 1 , wherein receiving selection of the patient parameter comprises receiving selection of at least one medical code, wherein the at least one medical code comprises at least one ICD9 code or ICD10 code.
6 . The method of claim 1 , further comprising:
in response to receiving the selection of the patient parameter, displaying a number of patients having the selected patient parameter.
7 . The method of claim 6 , wherein the number of patients having the selected patient parameter is selected from a plurality of patient databases, each patient database in the plurality of patient databases corresponding to a same generic patient data model.
8 . The method of claim 1 , wherein dynamically creating associations between the subject identification and the patient parameter, the investigator parameter, and the country parameter comprises:
creating at least one association between the subject identification and at least one patient database comprising the patient parameter;
creating at least one association between the subject identification and at least one investigator database comprising the investigator parameter; and
creating at least one association between the subject identification and at least one country database comprising the country parameter.
9 . The method of claim 8 ,
wherein each patient database corresponds to a same patient data model,
wherein each investigator database corresponds to a same investigator data model, and
wherein each country database corresponds to a same country data model.
10 . The method of claim 8 , further comprising:
receiving selection of a capture date; and
updating the subject identification such that only information contained in the at least one patient database, the at least one investigator database, and the at least one country database on or before the capture date is available for the selected subject identification.
11 . The method of claim 1 , further comprising:
creating a graphical representation based at least in part on the dynamically created associations, the graphical representation providing a prediction for one or more scenarios.
12 . The method of claim 11 , wherein the prediction corresponds to at least one of a likely scenario based at least on part on average performance, a best-case scenario, or a worst-case scenario.
13 . A computer-readable medium comprising program code for:
receiving selection of a subject identification, the subject identification corresponding with at least a subject name;
receiving selection of a patient parameter, the patient parameter corresponding with at least one of a physical characteristic or an illness;
receiving selection of an investigator parameter, the investigator parameter corresponding with at least one of a trial, a phase, or a medical indicator;
receiving selection of a geographic parameter, the geographic parameter corresponding with at least one of a geographic location or a geographic statistic;
dynamically creating associations between the subject identification and the patient parameter, the investigator parameter, and the geographic parameter; and
sending information corresponding to at least one of the dynamically created associations to a clinical trial analysis application for conducting a clinical trial.
14 . The computer-readable medium of claim 13 , further comprising program code for:
receiving a capture date, wherein only information contained in at least one patient database, at least one investigator database, and at least one country database as of the capture date is available for the subject identification.
15 . The computer-readable medium of claim 13 , further comprising program code for:
creating a graphical representation for the clinical trial based at least in part on the dynamically created associations.
16 . The computer-readable medium of claim 13 , further comprising program code for:
associating a capture date with the subject identification such that data on or before the capture date can be maintained in a database while allowing the database to continue to receive additional data after the capture date.
17 . A system, comprising:
a plurality of databases;
an electronic device comprising:
an input device;
a display; and
a processor in communication with the input device, the display, the plurality of databases, the processor configured for:
receiving selection of a subject identification, the subject identification corresponding with at least a subject name;
receiving selection of a patient parameter, the patient parameter corresponding with at least one of a physical characteristic or an illness;
receiving selection of an investigator parameter, the investigator parameter corresponding with at least one of a trial, a phase, or a medical indicator;
receiving selection of a geographic parameter, the geographic parameter corresponding with at least one of a geographic location or a geographic statistic;
dynamically creating associations between the subject identification and the plurality of databases for use in a clinical trial analysis application, the associations comprising a first association between the subject identification and the patient parameter, a second association between the subject identification and the investigator parameter, and a third association between the subject identification and the country parameter.
18 . The system of claim 17 , further comprising:
a network; and
a server comprising:
a memory, wherein the memory comprises program code for the clinical trial analysis application;
a second processor, the second processor in communication with the memory, the second processor configured for:
executing the program code for the clinical trial analysis application;
receiving information corresponding to at least one of the dynamically created associations from the electronic device through the network; and
conducting a clinical trial using at least the clinical trial analysis application and the received information.
19 . The system of claim 17 ,
wherein the plurality of databases comprises a patient database, an investigator database, and a country database, and
wherein the processor is further configured for:
querying the patient database with the patient parameter;
querying the investigator database with the investigator parameter; and
querying the country database with the country parameter;
20 . The system of claim 17 , wherein the processor is further configured for:
receiving a capture date; and
filtering information in the plurality of databases such that only information in the plurality of databases on or before the capture date is available to the subject identification and such that new information can be added to the plurality of databases after the capture date and the new information is not available to the subject identification.