What makes a good doctor? Being an expert in modern medicine is table stakes, as no one trusts a doctor who doesn't know the ins and outs of healthcare. 

However, as anyone who has encountered a medical professional whose bedside manner left something to be desired, it’s not enough. Research agrees, as studies from all the way back to the 1980s shows that knowledge without communication skills often fails to get patients to adhere to treatments.

The best doctors combine both clinical expertise and genuine bedside manner in order to give patients the best experience. 

This framing and duality is exactly what sponsors and contract research organizations (CROs) should keep in mind when searching for clinical trial AI. 

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Learn how a top-10 global pharmaceutical company partnered with Medable to rapidly expand the number of oncology trials it could concurrently conduct.

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AI-powered remote patient monitoring (RPM) is transforming clinical trials by enabling continuous data collection, real-time insights, and decentralized participation. This ecosystem spans wearables, AI analytics, data platforms, and decentralized clinical trial (DCT) infrastructure.

Additionally, agentic AI is fundamentally reshaping remote patient monitoring (RPM) in clinical trials by shifting it from passive data collection to proactive, autonomous decision support. Instead of simply aggregating data from wearables and patient-reported outcomes, agentic systems can continuously analyze multi-source trial data, identify emerging risks, and take action, such as prioritizing at-risk patients or sites, triggering alerts, or recommending interventions, without waiting for human input. This significantly reduces delays in detecting safety signals or protocol deviations. Just as importantly, agentic AI introduces workflow automation at scale by handling routine monitoring tasks, coordinating communications, and maintaining audit-ready reasoning trails. The result is a more adaptive and responsive RPM model where clinical teams move from manual oversight to strategic supervision, enabling faster, safer, and more efficient trials.

Below is a structured overview of the leading vendors, tools, and providers enabling AI-driven RPM in clinical research.

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