Patent Application

App. No. 14/541,460

Abstract

Claims (69)

1 . A computer-implemented method to model a clinical trial, the method comprising:

receiving data encoding parameters defining a study plan of the clinical trial with more than one participant clinical sites, the parameters including a total enrollment target of human subjects as well as targeted milestone dates of the study plan, the study plan including more than one cohorts, and the clinical sites having varying capabilities in administering each cohort;

adding a first cohort to the study plan, the first cohort characterized by a first set of attributes commonly possessed by a first group of human subjects;

specifying the first set of attributes as well as a corresponding target enrollment number of the first group of human patients to define the first cohort;

adding a second cohort to the study plan, the second cohort characterized by a second set of attributes commonly possessed by a second group of human subjects, the second set of attributes different from the first set of attributes;

specifying the second set of attributes as well as a corresponding target enrollment number of the second group of human patients to define the second cohort, the second group of human subjects having no overlap with the first group of human subjects;

subsequent to onset of the clinical trial, receiving, from data servers at the clinical sites, information encoding attributes of participant human subjects at each of the clinical sites, the information devoid of identifier information capable of identifying an individual human subject;

parsing the received information to map the participant human subjects to a particular cohort of the study plan;

in response to receiving, from the data servers at the clinical sites, update information encoding attributes of the participant human subjects at each of the clinical sites, longitudinally tracking, by a processor, the participant human subjects as mapped to corresponding cohorts of the study plan as the clinical trial progresses at the clinical sites; and

providing analytics of the cohorts of the study plan based on the longitudinal tracking.

2 . The method of claim 1 , wherein providing analytics of the cohorts of the study plan comprises:

analyzing the mapped human subjects for each cohort to generate actual enrollment statistics for the cohorts at the clinical sites;

presenting the actual enrollment statistics for each cohort of the study plan.

3 . The method of claim 2 , wherein analyzing the mapped human subjects further comprises:

generating longitudinal actual enrollment statistics for each cohort from the corresponding clinical sites involved in conducting the particular cohort of the study plan during progression of the clinical trial.

4 . The method of claim 3 , further comprising:

projecting enrollment statistics for each cohort of the study plan based on the generated longitudinal actual enrollment statistics from the corresponding clinical sites; and

presenting the projected enrollment statistics for each cohort of the study plan.

5 . The method of claim 4 , wherein analyzing the mapped human subjects for each cohort further comprises:

generating actual enrollment statistics from the clinical sites that span across more than one country and are involved in conducting the particular cohort of the study plan based on the generated longitudinal actual enrollment statistics from the clinical sites.

6 . The method of claim 5 , further comprising:

aggregating the generated actual enrollment statistics from the clinical sites involved in conducting the particular cohort of the study plan in each country; and

presenting the aggregated actual enrollment statistics for cohorts of the study plan on a country-by-country basis.

7 . The method of claim 3 , further comprising:

presenting a progress indication for each cohort based on the generated longitudinal actual enrollment statistics for the particular cohort as well as the targeted milestone dates for the study plan.

8 . The method of claim 2 , further comprising:

generating actual enrollment statistics from all participating cohorts at a particular clinical site;

presenting a progress indication for each participating cohort at the particular clinical site.

9 . The method of claim 1 , wherein providing analytics of the cohorts of the study plan further comprises:

generating progression statistics for each cohort of the study plan being conducted at the clinical sites of the particular cohort.

10 . The method of claim 9 , wherein generating the progression statistics for each cohort of the study plan comprises:

generating summary statistics on initiating the study plan at the corresponding clinical sites for the particular cohort as measured against the targeted milestone dates of the study plan.

11 . The method of claim 9 , wherein generating the progression statistics for each cohort of the study plan comprises:

generating summary statistics on screening human subjects at the corresponding clinical sites of the particular cohort.

12 . The method of claim 9 , wherein generating the progression statistics for each cohort of the study plan comprises:

generating summary statistics on enrolling human subjects at the corresponding clinical sites for the particular cohort as measured against the total enrollment target of human subjects for the study plan.

13 . The method of claim 1 , wherein parsing the received information further comprises:

extracting at least one attribute of each participant human patient; and

linking each participant human subject to a particular cohort of the study plan in accordance with the extracted at least one attribute of the participant human subject.

14 . The method of claim 13 , wherein parsing the received information further comprises:

conducting an Extract, Transform, and Load (ETL) operation on the received information to map participant human subjects to corresponding cohorts of the study plan.

15 . The method of claim 14 , wherein linking each participant human subject to a particular cohort of the study plan further comprises:

longitudinally linking the participant human subject at least in part based on a matching unique patient identifier of the human subject that does not reveal the human subject's identity.

16 . The method of claim 15 , wherein linking each participant human subject to a particular cohort of the study plan further comprises:

longitudinally linking the participant human subject as the human subject is seen at more than one clinical site during the clinical trial.

17 . The method of claim 1 , further comprising:

adding a third cohort to the study plan, the third cohort characterized by a third set of attributes commonly possessed by a third group of human subjects, the third set of attributes different from the first set and the second set of attributes.

18 . The method of claim 17 , further comprising:

specifying the third set of attributes as well as a corresponding target enrollment number of the third group of human patients to define the third cohort, the third group of human subjects having no overlap with the first group and the second group of human subjects.

19 . A computer system comprising one or more processors, configured to perform the operations of:

receiving data encoding parameters defining a study plan of the clinical trial to be conducted at more than one clinical sites, the parameters including a total enrollment target of human subjects as well as targeted milestone dates of the study plan, the study plan includes more than one cohorts, and the clinical sites having varying capabilities in handling human subjects for each cohort;

adding a first cohort to the study plan, the first cohort characterized by a first set of attributes commonly possessed by a first group of human subjects;

defining the first cohort by specifying the first set of attributes as well as a corresponding target enrollment number of the first group of human patients;

adding a second cohort to the study plan, the second cohort characterized by a second set of attributes commonly possessed by a second group of human subjects, the second set of attributes different from the first set of attributes;

defining the second cohort by specifying the second set of attributes as well as a corresponding target enrollment number of the second group of human patients, the second group of human subjects having no overlap with the first group of human subjects;

subsequent to onset of the clinical trial, receiving, from data servers at the clinical sites, information encoding attributes of participant human subjects at each of the clinical sites, the information devoid of identifier information capable of identifying an individual patient;

parsing the received information to map the participant human subjects to a particular cohort of the study plan;

in response to receiving update information encoding attributes of participant human subjects, longitudinally tracking the participant human subjects as mapped to corresponding cohorts of the study plan as the clinical trial progresses at the clinical sites; and

providing analytics of the cohorts of the study plan based on the tracking.

20 . A computer-readable medium, comprising software instructions, which when executed by a processor of a computer, causes the computer to perform the operations of:

receiving data encoding parameters defining a study plan of the clinical trial to be conducted at more than one clinical sites, the parameters including a total enrollment target of human subjects as well as targeted milestone dates of the study plan, the study plan includes more than one cohorts, and the clinical sites having varying capabilities in handling human subjects for each cohort;

adding a first cohort to the study plan, the first cohort characterized by a first set of attributes commonly possessed by a first group of human subjects;

defining the first cohort by specifying the first set of attributes as well as a corresponding target enrollment number of the first group of human patients;

adding a second cohort to the study plan, the second cohort characterized by a second set of attributes commonly possessed by a second group of human subjects, the second set of attributes different from the first set of attributes;

defining the second cohort by specifying the second set of attributes as well as a corresponding target enrollment number of the second group of human patients, the second group of human subjects having no overlap with the first group of human subjects;

subsequent to onset of the clinical trial, receiving, from data servers at the clinical sites, information encoding attributes of participant human subjects at each of the clinical sites, the information devoid of identifier information capable of identifying an individual patient;

parsing the received information to map the participant human subjects to a particular cohort of the study plan;

in response to receiving update information encoding attributes of participant human subjects, longitudinally tracking the participant human subjects as mapped to corresponding cohorts of the study plan as the clinical trial progresses at the clinical sites; and

providing analytics of the cohorts of the study plan based on the tracking.

Assignments (10)