{"id":606447,"date":"2024-06-05T00:00:00","date_gmt":"2024-06-05T04:00:00","guid":{"rendered":"https:\/\/platohealth.ai\/operational-oversight-in-clinical-research-integrations-and-insights\/"},"modified":"2024-06-05T09:46:08","modified_gmt":"2024-06-05T13:46:08","slug":"operational-oversight-in-clinical-research-integrations-and-insights","status":"publish","type":"post","link":"https:\/\/platohealth.ai\/operational-oversight-in-clinical-research-integrations-and-insights\/","title":{"rendered":"Operational Oversight in Clinical Research: Integrations and Insights","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Learn how IQVIA\u2019s CDAS technology and services can provide an efficient path to consolidating and harmonizing data across any provider source, ensuring high quality oversight of outsourced clinical trial activities.<\/em><\/p>\n

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Register Free:<\/strong>
https:\/\/www.appliedclinicaltrialsonline.com\/act\/operational-oversight<\/a>

<\/a>Event overview<\/span><\/strong><\/p>\n

A recent IQVIA survey revealed that one-third of sponsors fully or partially outsource their clinical trials to several service providers (i.e., CROs, etc.). Although this model usually results in the successful execution of trials, it also creates numerous challenges. For example, sponsor\u2019s data resides with different providers and reports and metrics are produced at varying frequencies and provided in different formats and nomenclatures. This requires sponsors to spend too much time wrangling data from all trials across their portfolio and manually processing reports to maintain the necessary, and ICH E6 required, level of operational oversight.<\/p>\n

Join this webinar to learn how IQVIA Technologies Clinical Data Analytics Solutions (CDAS) offers sponsors an answer to the challenge of high quality, timely oversight in an outsourced clinical trial model. CDAS provides powerful analytics capabilities and a robust library of standard dashboards and reports, while also enabling the flexibility of self-service reporting and the power of generative AI to question data directly. Acquiring and standardizing data from multiple sources to support the required analytics is driven by multiple easy-to-use ingestion adaptors and the ability to harmonize data to a comprehensive common operational data model, providing the data foundation for cross-study and portfolio-level standardized analytics and reporting for sponsors. Data integration and harmonization services are also available to complement the offering, thus requiring minimal involvement from internal teams to prepare data, saving time and energy to focus on timely, proactive oversight activities.<\/p>\n

Three key take-aways<\/strong><\/p>\n