Shadow AI and the Governance Gap: Leading Healthcare Through the GenAI Revolution
GenAI has real promise, but it’s also bringing real risks. It is not about whether we should use it but how we can use it responsibly and with positive outcomes.
GenAI has real promise, but it’s also bringing real risks. It is not about whether we should use it but how we can use it responsibly and with positive outcomes.
Considering the lack of high quality data, companies that excel in compiling and managing data effectively are attracting interest from industry partners and distinguishing themselves from their rivals. Here are some of the ways emerging AI applications are fueling and redefining the need for RWD across HCLS.
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
The future of healthcare will be one where technology doesn't just serve the industry but genuinely improves the lives of individuals, transforming how we interact with medical data, healthcare providers, and our personal well-being.
AI-assisted software development can help teams achieve faster delivery, lower costs, and higher-quality results – all key to meeting patients' and providers' digital health expectations.
The AI race heats up with a new kid on the block from China. How did it compare against a popular U.S. genAI engine on a simple healthcare industry question?
GenAI will help healthcare reach its destination of efficiency and superior outcomes, but we can’t lose sight of the need for human touch, quality interactions and data to navigate us forward.
How to turn analytics into actual policy outcomes.
Disregarding novel developments on account of imperfection will postpone the advancement of scientific discovery.