Operation and method for prediction and management of the validity of subject reported data
View Patent ↗A system for developing and implementing empirically derived algorithms to generate decision rules to predict invalidity of subject reported data and fraud with research protocols in surveys allows for the identification of complex patterns of variables that detect or predict subject invalidity of subject reported data and fraud with the research protocol in the survey. The present invention may also be used to monitor invalidity of subject reported data within a research protocol to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of invalidity, from minor invalidity needing only corrective feedback, to significant invalidity requiring subject removal from the survey. The algorithms and decision rules can also be domain-specific, such as detecting invalidity or fraud among subjects in a workplace satisfaction survey, or demographically specific, such as taking into account gender or age. The algorithms and decision rules may be optimized for the specific sample of subjects being studied.
1. A computer implemented method for improving clinical trial data quality, comprising steps of:
obtaining compliance information from a subject in said clinical trial on a portable electronic device, wherein said compliance information comprises data on timeliness in answering a question or responding to a prompt by said subject;
receiving on a server, over a network from said portable electronic device said compliance information;
applying a decision rule to said compliance information;
determining, based at least on application of said decision rule to said compliance information, that an action should be taken;
identifying a type of action automatically; and
displaying said type of action on an electronic device, wherein said type of action is displayed to a subject, a research site, a sponsor or a clinical trial staff, thereby improving clinical trial data quality.
2. The computer implemented method of claim 1 , wherein said clinical trial is a drug trial involving humans.
3. The computer implemented method of claim 1 , wherein said portable electronic device is a handheld computer provided with a display and a data input feature or a cell phone.
4. The computer implemented method of claim 2 , wherein said compliance information further comprises completeness.
5. The computer implemented method of claim 2 , wherein said network is a wireless network.
6. The computer implemented method of claim 1 , wherein said decision rule is a reformatted algorithm.
7. The computer implemented method of claim 6 , wherein said algorithm is representative of said compliance information.
8. The computer implemented method of claim 6 , wherein said algorithm is generated by quantitative analysis of said compliance information.
9. The computer implemented method of claim 1 , wherein said decision rule determines a threshold of compliance or a threshold of noncompliance.
10. The computer implemented method of claim 1 , wherein said action comprises corrective feedback, calling said subject, or dropping said subject from said clinical trial.
11. A non-transitory computer-readable medium suitable for use in an electronic device, said medium comprising instructions that, when executed by said electronic device, cause said electronic device to perform:
receiving compliance information from a subject in a clinical trial, wherein said compliance information comprises data on timeliness in answering a question or responding to a prompt by said subject;
applying a decision rule to said compliance information;
determining, based at least on application of said decision rule to said compliance information, that an action should be taken;
identifying a type of action automatically; and
displaying said type of action on an electronic device, wherein said type of action is displayed to at least one of said subject, a research site, a sponsor or a clinical trial staff, thereby improving clinical trial data quality.
12. The medium of claim 11 , wherein said clinical trial is a drug trial involving humans.
13. The medium of claim 11 , wherein said compliance information further comprises completeness.
14. The medium of claim 11 , wherein said decision rule is a reformatted algorithm.
15. The medium of claim 14 , wherein said algorithm is representative of said compliance information.
16. A computer system comprising an electronic device, wherein said electronic device comprises a non-transitory computer-readable medium comprising instructions that, when executed by said computer system, cause said computer system to perform:
receiving compliance information from a subject in a clinical trial, wherein said compliance information comprises data on timeliness in answering a question or responding to a prompt by said subject;
applying a decision rule to said compliance information;
determining, based at least on application of said decision rule to said compliance information, that an action should be taken;
identifying a type of action automatically; and
displaying said type of action on an electronic device, wherein said type of action is displayed to at least one of said subject, a research site, a sponsor or a clinical trial staff thereby improving clinical trial data quality.
17. The system of claim 16 , wherein said clinical trial is a drug trial involving humans.
18. The system of claim 16 , wherein said compliance information further comprises completeness.
19. The computer implemented method of claim 1 , wherein said decision rule identifies noncompliance within a spectrum of noncompliance.
20. The computer implemented method of claim 19 , wherein said noncompliance is minor noncompliance.
21. The computer implemented method of claim 20 , wherein said action is a corrective feedback.
22. The computer implemented method of claim 19 , wherein said noncompliance is a significant noncompliance.
23. The computer implemented method of claim 22 , wherein said action is to drop said subject from said clinical trial.
24. The computer implemented method of claim 1 , wherein said electronic device is a portable electronic device.
25. The medium of claim 14 , wherein said algorithm is generated by quantitative analysis of said compliance information.
26. The medium of claim 11 , wherein said decision rule determines a threshold of compliance or a threshold of noncompliance.
27. The medium of claim 26 , wherein said action comprises at least one of corrective feedback, calling said subject, or dropping said subject from said clinical trial.
28. The medium of claim 11 , wherein said decision rule identifies noncompliance within a spectrum of noncompliance.
29. The medium of claim 28 , wherein said noncompliance is minor noncompliance.
30. The medium of claim 29 , wherein said action is a corrective feedback.
31. The medium of claim 28 , wherein said noncompliance is a significant noncompliance.
32. The medium of claim 31 , wherein said action is to drop said subject from said clinical trial.
33. The system of claim 16 , wherein said decision rule is a reformatted algorithm.
34. The system of claim 33 , wherein said algorithm is representative of said compliance information.
35. The system of claim 33 , wherein said algorithm is generated by quantitative analysis of said compliance information.
36. The system of claim 16 , wherein said decision rule determines a threshold of compliance or a threshold of noncompliance.
37. The system of claim 36 , wherein said action comprises at least one of corrective feedback, calling said subject, or dropping said subject from said clinical trial.
38. The system of claim 16 , wherein said decision rule identifies noncompliance within a spectrum of noncompliance.
39. The system of claim 38 , wherein said noncompliance is minor noncompliance.
40. The system of claim 39 , wherein said action is a corrective feedback.
41. The system of claim 38 , wherein said noncompliance is a significant noncompliance.
42. The system of claim 41 , wherein said action is to drop said subject from said clinical trial.