Methods and systems for predictive clinical planning and design and integrated execution services

• US 9,600,637 B2
• Filed: 11/20/2015
• Issued: 03/21/2017
• Est. Priority Date: 06/22/2012
• Status: Active Grant

• Current Assignee: IQVIA, Inc. (IQVIA Holdings, Inc.)
• Original Assignee: Quintiles Transnational Corporation (IQVIA Holdings, Inc.)
• Inventors: Harder, Donald R., Siders, Daniel D.
• Primary Examiner(s): LE, HUNG D
• Application Number:
  US14/947,726
• Publication Number:
  US 20160188845A1
• Time in Patent Office: 487 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/211 Schema design and management
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 17/10 Complex mathematical operations function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation

Abstract

Systems and methods for predictive clinical planning, design, and integrated execution services are provided. The system may comprise a database, a web server, an application server, and a client.

The system may be used to develop a strategic map of a proposed clinical plan, wherein the clinical plan may include a draft launch label attribute, one or more strategies, and a schema; linking the clinical plan and schema to one or more trials; subsequently linking the trials to one or more objectives and measures; subsequently linking none, one, or a plurality of objectives to none, one, or a plurality of measures; identifying patient criteria and enrolling patients from one or more investigator sites located in one or more countries; and integrating the clinical plan with a clinical plan execution application.

Claims

1. A computer-implemented method comprising:

displaying a graphical user interface on one or more display screens, the graphical user interface providing a graphical representation of at least a portion of a clinical trial and comprising a plurality of graphical nodes, the plurality of graphical nodes comprising;

a central node;

one or more first child nodes directly connected to the central node, each of the child nodes representing aspects of the clinical trial;

one or more second child nodes, each of the one or more second child nodes directly connected to one of a first child node or a second child node and indirectly connected to the central node, each of the second child nodes representing a sub-node of the respective directly connected node, and

wherein at least one of the first or second child nodes is associated with an editor configured to enable modification of one or more parameters associated with the respective first or second child node;

accessing a database to retrieve information associated with the clinical trial;

retrieving information from the database, the information associated with the first child nodes and the second child nodes;

propagating the information through the child nodes to the central node; and

displaying summary information about the clinical trial based on the propagated information.

2. The computer-implemented method of claim 1, further comprising:

receiving a selection of one of the plurality of graphical nodes;

expanding a display of the selected graphical node;

opening an editor associated with the selected node, the editor configured to enable entry of new information associated with the selected node or modification of the retrieved information associated with the selected node;

receiving an input configured to close the editor; and

closing the editor.

3. The computer-implemented method of claim 1, wherein the information is patient information comprising at least one of a disease indicator, co-morbidities, concomitant medications, body mass index, age, gender, or ethnicity.

4. The computer-implemented method of claim 1, further comprising:

receiving a selection of a node, wherein the clinical trial comprises one or more sites, and wherein the information comprises patient information associated with one or more patients for the clinical trial, investigator information associated with one or more investigators for the clinical trial, and enrollment information associated with enrollment criteria for the clinical trial;

generating associations between the patient information, the investigator information, and the enrollment information to develop a map of sites for the clinical trial;

determining one or more potential sites for the clinical trial from the map of sites based at least in part on the associations;

determining a plurality of patient enrollment totals at the one or more potential sites based at least in part on at least one of the patient information, the investigator information, the enrollment information, or the associations, wherein each of the plurality of patient enrollment totals corresponds to a prediction for a total number of patients enrolled in the clinical trial; and

generating a graphical representation of the plurality of patient enrollment totals at the one or more potential sites, the graphical representation corresponding to alternative scenarios for enrollment in the clinical trial.

5. The computer-implemented method of claim 4, further comprising:

determining, using at least one of the plurality of patient enrollment totals, whether more or fewer sites are needed for the clinical trial;

enabling an addition of one or more additional sites, if it is determined that more sites are needed for the clinical trial; and

enabling removal of one or more sites, if it is determined that fewer sites are needed for the clinical trial.

6. The computer-implemented method of claim 4, wherein at least one of the patient information or the investigator information includes geographical information associated with the one or more patients or the one or more investigators.

7. The computer-implemented method of claim 4, wherein the plurality of patient enrollment totals includes a first sum, a second sum, and a third sum, wherein the first sum corresponds to a best-case prediction for a total number of patients enrolled in the clinical trial, wherein the second sum corresponds to a worst-case prediction for a total number of patients enrolled in the clinical trial, wherein the third sum corresponds to a median-case prediction for a total number of patients enrolled in the clinical trial.

8. The computer-implemented method of claim 4, wherein the enrollment information further comprises trial information associated with the clinical trial, wherein the trial information comprises at least one of:

an estimated cost of the clinical trial, an estimated required number of patients, and a predicted length of time of the clinical trial.

9. The computer-implemented method of claim 4, further comprising:

accessing a database of data associated with a plurality of previous clinical trials; and

generating a historical metric by comparing at least one or more of the previous clinical trials to at least a portion of one of the patient information, investigator information, or the enrollment information.

10. The computer implemented method of claim 9, wherein determining at least one of the plurality of patient enrollment totals is further based in part on the historical metric.

11. A non-transitory computer-readable medium comprising processor-executable program code configured to cause a processor to:

display a graphical user interface on one or more display screens, the graphical user interface providing a graphical representation of at least a portion of a clinical trial and comprising a plurality of graphical nodes, the plurality of graphical nodes comprising;

a central node;

one or more first child nodes directly connected to the central node, each of the child nodes representing aspects of the clinical trial;

one or more second child nodes, each of the one or more second child nodes directly connected to one of a first child node or a second child node and indirectly connected to the central node, each of the second child nodes representing a sub-node of the respective directly connected node, and

wherein at least one of the first or second child nodes is associated with an editor configured to enable modification of one or more parameters associated with the respective first or second child node;

access a database to retrieve information associated with the clinical trial;

retrieve information from the database, the information associated with the first child nodes and the second child nodes;

propagate the information through the child nodes to the central node; and

display summary information about the clinical trial based on the propagated information.

12. The non-transitory computer-readable medium of claim 11, further comprising processor-executable program code configured to cause a processor to:

receive a selection of one of the plurality of graphical nodes;

expand a display of the selected graphical node;

open an editor associated with the selected node, the editor configured to enable entry of new information associated with the selected node or modification of the retrieved information associated with the selected node;

receive an input configured to close the editor; and

close the editor.

13. The non-transitory computer-readable medium of claim 11, wherein the information is patient information comprising at least one of a disease indicator, co-morbidities, concomitant medications, body mass index, age, gender, or ethnicity.

14. The non-transitory computer-readable medium of claim 11, further comprising processor-executable program code configured to cause a processor to:

receive a selection of a node, wherein the clinical trial comprises one or more sites, and wherein the information comprises patient information associated with one or more patients for the clinical trial, investigator information associated with one or more investigators for the clinical trial, and enrollment information associated with enrollment criteria for the clinical trial;

generate associations between the patient information, the investigator information, and the enrollment information to develop a map of sites for the clinical trial;

determine one or more potential sites for the clinical trial from the map of sites based at least in part on the associations;

determine a plurality of patient enrollment totals at the one or more potential sites based at least in part on at least one of the patient information, the investigator information, the enrollment information, or the associations, wherein each of the plurality of patient enrollment totals corresponds to a prediction for a total number of patients enrolled in the clinical trial; and

generate a graphical representation of the plurality of patient enrollment totals at the one or more potential sites, the graphical representation corresponding to alternative scenarios for enrollment in the clinical trial.

15. The non-transitory computer-readable medium of claim 14, further comprising processor-executable program code configured to cause a processor to:

determine, using at least one of the plurality of patient enrollment totals, whether more or fewer sites are needed for the clinical trial;

enable an addition of one or more additional sites, if it is determined that more sites are needed for the clinical trial; and

enable removal of one or more sites, if it is determined that fewer sites are needed for the clinical trial.

16. The non-transitory computer-readable medium of claim 14, wherein at least one of the patient information or the investigator information includes geographical information associated with the one or more patients or the one or more investigators.

17. The non-transitory computer-readable medium of claim 14, wherein the plurality of patient enrollment totals includes a first sum, a second sum, and a third sum, wherein the first sum corresponds to a best-case prediction for a total number of patients enrolled in the clinical trial, wherein the second sum corresponds to a worst-case prediction for a total number of patients enrolled in the clinical trial, wherein the third sum corresponds to a median-case prediction for a total number of patients enrolled in the clinical trial.

18. The non-transitory computer-readable medium of claim 14, wherein the enrollment information further comprises trial information associated with the clinical trial, wherein the trial information comprises at least one of:

an estimated cost of the clinical trial, an estimated required number of patients, and a predicted length of time of the clinical trial.

19. The non-transitory computer-readable medium of claim 14, further comprising processor-executable program code configured to cause a processor to:

access a database of data associated with a plurality of previous clinical trials; and

generate a historical metric by comparing at least one or more of the previous clinical trials to at least a portion of one of the patient information, investigator information, or the enrollment information.

20. The non-transitory computer-readable medium of claim 19, wherein determining at least one of the plurality of patient enrollment totals is further based in part on the historical metric.

21. A system, comprising:

a non-transitory computer-readable medium; and

a processor in communication with the non-transitory computer readable medium configured to;

display a graphical user interface on one or more display screens, the graphical user interface providing a graphical representation of at least a portion of a clinical trial and comprising a plurality of graphical nodes, the plurality of graphical nodes comprising;

a central node;

one or more first child nodes directly connected to the central node, each of the child nodes representing aspects of the clinical trial;

one or more second child nodes, each of the one or more second child nodes directly connected to one of a first child node or a second child node and indirectly connected to the central node, each of the second child nodes representing a sub-node of the respective directly connected node, and

wherein at least one of the first or second child nodes is associated with an editor configured to enable modification of one or more parameters associated with the respective first or second child node;

access a database to retrieve information associated with the clinical trial;

retrieve information from the database, the information associated with the first child nodes and the second child nodes;

propagate the information through the child nodes to the central node; and

display summary information about the clinical trial based on the propagated information.