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Insights Library - Blogs, White Papers, Case Studies - IQVIA Insights Library Points of view from The Human Data Science Company™ Explore our library of resources spanning the healthcare ecosystem Hear from IQVIA data scientists, doctors, researchers, and other experts on the topics, trends, and market developments that matter to you
191 IQVIA Case Studies, Success Stories, Customer Stories . . . Veeva Systems is a leader in cloud-based software for the global life sciences industry Committed to innovation, product excellence, and customer success, Veeva has more than 450+ customers, ranging from the world's Show more
Predicting Misdiagnosed Adult-Onset Type 1 Diabetes Using Machine Learning Conclusion IQVIA is currently running a prospective validation study at three health systems in the U S to test real-world performance of the algorithm by identifying and testing patients with elevated risk for misdiagnosis Providers will be asked to do an independent review of the patient medical records before recommending testing to further assess the risk of T1D
Next Best Action - IQVIA IQVIA Next Best turns insight into action by surfacing data-driven insights throughout commercial workflows to improve business outcomes Designed for easy end-user adoption, it provides intelligent recommendations to better inform decisions, so sales, operations, and marketing teams can deliver the right message at the time and place to drive results
Outperform by 30% with Next Best - IQVIA The IQVIA Innovation Hub connects start-ups with the extensive IQVIA network of assets, resources, clients, and partners Together, we can help lead the future of healthcare with the extensive IQVIA network of assets, resources, clients, and partners
Innovation in Diabetes Care Technology: The User Experience The next phase is optimization, in which the PwD increasingly achieves familiarity with their digital medicine product and begins to customize and integrate the digital medicine product into their lifestyle The PwD may include seeking advice and input from the clinical care team and or PwD community on how best to use the digital medicine product
Improving diabetes treatments and outcomes with insights from . . . - IQVIA The data collated allows for generalisable and representative population studies IQVIA Medical Research Data incorporating data from THIN, a Cegedim Database, includes non-identified electronic patient health record data from over 18 million patients collected from UK GP Practices, including the data collected for patients with diabetes
A UK case study in diabetes - iqvia. com dosing regimen” 4 Good adherence to drug therapy correlates strongly with positive health outcomes 5 Nevertheless, despite its recognized importance, studies consistently reveal the failure of many patients to follow prescribing instructions; estimates suggest that between 20%—30% of individuals are non-adherent to potentially curative or symptomatic treatments and 30%—40% to preventive
Innovation in Diabetes Care Technology - IQVIA Series of diabetes digital health reports that focus on key dimensions that impact the optimal access and use of diabetes digital medicine products for people with diabetes and their caregivers