Title:
HARMONIZED QUALITY (HQ)
Document Type and Number:
WIPO Patent Application WO/2024/015576
Kind Code:
A3
Abstract:
A method comprises training an artificial intelligence (Al)/ machine-learning (ML) system to identify one or more issues at sites, studies, or customer portfolios. The method also includes applying the trained Al/ ML system to identify one or more issues at the sites, studies, or customer portfolios. The method also includes identifying one or more risks from the one or more identified issues at the sites, studies, or customer portfolios by one or more clinical leads. The one or more clinical leads identify a cause for the one or more identified risks among statistical composite risks, investigator risks, monitoring risks, and/or recruitment risks. The method also includes identifying mitigation actions for the one or more identified risks by using insights from past performance. The method also includes applying the mitigation actions onto the one or more identified risks.
Inventors:
RENSTROEM LARS (US)
KALAVSKY MICHAEL (US)
SHARMA SUMANTA (US)
KALAVSKY MICHAEL (US)
SHARMA SUMANTA (US)
Application Number:
PCT/US2023/027777
Publication Date:
March 28, 2024
Filing Date:
July 14, 2023
Export Citation:
Assignee:
IQVIA INC (US)
International Classes:
G06F3/0482; G06N5/04; G06N20/00; G06Q10/06; G06Q30/00; G06Q40/00; G06Q40/06
Foreign References:
| US20210400076A1 | 2021-12-23 | |||
| US20200202268A1 | 2020-06-25 | |||
| US20150381667A1 | 2015-12-31 | |||
| US20090319312A1 | 2009-12-24 | |||
| US20210326436A1 | 2021-10-21 | |||
| US11315061B2 | 2022-04-26 | |||
| US20150324918A1 | 2015-11-12 | |||
| US20160292599A1 | 2016-10-06 |
Attorney, Agent or Firm:
MALDJIAN, John et al. (US)
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