Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw ...

AI can help transform patient feedback into actionable insight, helping healthcare leaders detect trends, improve experience ...

Payers and providers are eager to elevate the patient journey, but for many patients, it still begins with friction. Extended wait times, complex intake processes, and unclear billing can derail the ...

Regard has upgraded its AI platform to enable doctors to more accurately diagnose patients at the bedside. The company developed a proprietary diagnostic engine to identify missed conditions like ...

Electronic medical records (EMRs) have been a tremendous benefit in exam rooms across the country, creating secure patient history databases that clinicians can easily access and update. Yet, they can ...

SAN FRANCISCO, Oct. 30, 2025 /PRNewswire/ -- Collectly, the AI-powered technology company specializing in patient billing, revenue cycle management (RCM), and engagement solutions, today announced the ...

Series B, led by Lightspeed Venture Partners, will turbocharge company's rapid growth and extend their lead role in using AI to transform the patient experience—eliminating the stress tied to doctor's ...

In healthcare C-suites across the country, patient experience is a top priority. From medical practices and ambulatory surgery centers to large hospital systems, leaders are rethinking every stage of ...

Women's health startup Millie developed an artificial intelligence agent specifically to support maternal health as its first foray into agentic AI. The agent, called Maia, represents a personalized, ...

Artificial intelligence is transforming the way people approach medicine, from diagnosis to treatment planning. The comparison between AI and human doctors raises essential questions about accuracy, ...

Accuracy in diagnosis is not a single metric. It can involve the correct identification of a disease, the prioritization of potential causes, or the generation of an appropriate treatment plan.