Learn how unparalleled data, domain expertise, and technologies enable AI-powered solutions that are purpose-built for healthcare.
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more"We strive to help improve outcomes and create a healthier, more sustainable world for people everywhere.
LEARN MOREReimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.
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SEE LATEST REPORTSBy making intelligent connections between your needs, our capabilities, and the healthcare ecosystem, we can help you be more agile, accelerate results, and improve patient outcomes.
LEARN MOREBuilding on a rich history of developing AI for healthcare, IQVIA AI connects the right data, technology, and expertise to address the unique needs of healthcare. It's what we call Healthcare-grade AI.
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LEARN MOREIQVIA Decentralized Trials deliver purpose-built clinical services and technologies that engage the right patients wherever they are. Our hybrid and fully virtual solutions have been used more than any others.
LEARN MOREEmpowering patients to personalize their healthcare and connecting them to caregivers has the potential to change the care delivery paradigm.
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SEARCH JOBSAsia now accounts for half of the global burden of cancer, and the World Health Organization predicts that incidence will rise from 6.8 million cases in 2012 to 10.8 million in 2030. Incidence of breast cancer alone in Asia is predicted to increase from 651,000 cases in 2012 to 920,000 by 2030, constituting over a third of the global total.
This challenge has both a human and a financial dimension. Too many people will have their lives affected or cut short by cancer, and the costs of cancer will continue to grow. It is therefore vital that we target investment on the support, services and treatments which will make the biggest difference to patients, maximizing the value of cancer care.
It is impossible to do this without understanding the issues that cancer patients face, along with their needs and preferences. There are a range of different ways to capture the perspective of patients, ranging from surveys of experiences or quality of life, to advisory and focus groups. However, technological advances create opportunities to supplement these existing methods, drawing on the experiences and activities of large numbers of patients in their everyday lives.
This report documents the approach and findings of a pilot initiated by IQVIA which used an Artificial Intelligence (AI) platform to explore the key priorities and concerns of breast cancer patients in Singapore. The pilot analyzed online activity among the Singaporean population over the past two years, evaluating more than 46,000 unique online activity patterns to derive insights. It is estimated that these activities were generated by approximately 7,000 people affected by cancer.
This is the first AI study of its kind, breaking new ground in the field of value-based cancer care. The purpose of this report is to provide recommendations on how AI can be used by policymakers, as well as providers of cancer treatment and information services, to make decisions based on the real life needs and preferences of patients.
The findings from the pilot confirm many of the quality of life issues established in the research literature and reaffirm the importance of tailoring support and services to individual patients. Breast cancer patients are not a homogenous group, and encounter specific needs and challenges that are unique to each stage.
Patients with early stage (1 and 2) breast cancer appear to seek further support with:Learn how unparalleled data, domain expertise, and technologies enable AI-powered solutions that are purpose-built for healthcare.