Sponsored by Infor. Data management in life sciences is inherently complex. Data is fragmented across multiple systems — such as clinical trials, lab systems, regulatory databases, and electronic health records (EHRs) — in inconsistent formats. For example, patient information in the EHR is typically transferred using legacy technology. Additional data streams from wearable devices,…
Accelerating life sciences with AI
This case study is sponsored by Infor. Artificial intelligence can revolutionize clinical interoperability by building bridges across data silos. Machine learning’s vast analytical capabilities enable the comprehensive analysis of large volumes of historical data from multiple sources, providing a more holistic view of patients’ overall health. Its ability to uncover patterns and anticipate future needs…
Advancing Clinical Trials and Research
This case study is sponsored by Infor. In the complex landscape of clinical trials and medical research, data fragmentation remains a major obstacle, hindering progress and patient outcomes. The case study “Advancing Clinical Trials and Research with Cloverleaf” showcases how Infor Cloverleaf significantly enhances clinical trials by integrating Real-World Evidence (RWE) to overcome data fragmentation.…