Successful AI implementation in healthcare requires guidance and oversight in the form of organized AI governance.
Examine strategies for validating, monitoring, and safely deploying configurable AI agents to ensure compliance and performance in clinical trials.
A QHIN and interoperability pro explains what clean, standardized and interoperable data enables with AI. He also details ...
At the start of my career, we were just beginning to see how technology could redefine medicine and drive substantial impact.
The Data Query System has created a “golden ID” that sponsors are using to collate data and avoid duplication.
As the pharmaceutical industry moves beyond rule-based omnichannel marketing, a new era of agentic systems is emerging, in which AI-powered agents collaborate with humans to orchestrate engagement, ...
This is the Applied Clinical Trials Brief —your fast track to the latest insights in clinical research operations. In under ...
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Vaccination is not a retail service, MMA tells pharmacists

“MMA reiterates that commercial interests must never supersede patient safety and quality of care. “Vaccination is not a transaction. It is a clinical act that carries accountability, responsibility ...
Epista Life Science today announced one of the pharmaceutical industry's most comprehensive clinical data remediation programs, a multi-phase initiative spanning more than 800 studies, 43,000 study ...
The future of wealth management lies in helping clients define purpose and build legacies that last longer than market cycles.
The Digital Medicine Society says its three-part artificial intelligence guide for hospitals and health systems is designed ...