Meet the challenges of today and the opportunities of tomorrow with a secure, validated statistical computing environment
Getting a new therapy to market is a huge endeavor, often involving dozens of stakeholders from pharmaceutical companies, clinical research organizations (CROs), health care providers and regulators. Clinical trials are one of the most complex parts of the process, and that complexity is increasing due to:
- New types of trials (such as decentralized and adaptive design trials) that open new avenues for innovation.
- The adoption of real-world evidence, which is driving the demand to integrate new sources of information, from electronic medical records and genomics to data from smartwatches and wearables.
- Companies combining new analytical techniques – such as machine learning and deep learning – with increasingly sophisticated statistical programming to unlock new insights.
Central to a life sciences organization’s ability to succeed and compete amid increasingly complex clinical trials is the strength, security and flexibility of its statistical computing environment (SCE). The right SCE is critical in accelerating scientific discoveries by enabling researchers to manage, process and analyze data efficiently and compliantly, all while maintaining the utmost regulatory integrity.
The decentralization, diversification and acceleration of clinical trials is putting greater pressure on all participants in the health care ecosystem to collaborate efficiently. A lack of standardization at the foundational level makes it difficult for teams to work together, share data in a safe and controlled environment, and provide robust tools to ensure that analyses are sound and reproducible. This is particularly challenging for startups and small to midsize companies that may lack much of the bandwidth and funding needed
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