Author name: prxwebadmin

Physician authorship is essential to the integrity of the medical record: it preserves the clinical reasoning that guides patient care. AI should support that authorship, keeping the physician’s judgment, intent, and decisions at the heart of every note. What Is Physician Authorship in AI Documentation? Physician authorship means that the clinical record reflects the physician’s

Explore Praxis AI features, from Concept Processing and RAI to patient intake, scheduling, portal communication, follow-up, and reporting.

What should AI actually do inside an EHR? For a physician, the answer is not a longer menu of buttons. It is a system that learns how that physician practices and helps carry clinical decisions through the work surrounding each patient visit.

That idea is at the center of the new Praxis AI Features guide. Rather than presenting an AI scribe as the entire story, the guide shows how physician-specific learning, ambient documentation, patient engagement, workflow, and reporting connect in one clinical record.

Why listening to a patient encounter isn’t the same as understanding what the physician is thinking. Ambient AI has transformed medical documentation. AI-powered medical scribes can listen to physician-patient conversations, recognize speech, summarize information, and generate clinical notes, often within seconds. For physicians overwhelmed by documentation, the appeal is obvious: less typing, fewer clicks, and

Artificial intelligence is advancing through medicine at extraordinary speed. It can listen to conversations, summarize information, recognize patterns, retrieve knowledge, automate administrative work, and increasingly assist physicians with clinical documentation and decision-making. And it is generating an understandable fear: Will AI eventually replace the doctor? Perhaps we are asking the wrong question. The more important

The Promise—and the Problem—of Ambient AI Scribes Ambient artificial intelligence is rapidly becoming one of the most talked-about technologies in healthcare. The promise is compelling: an AI system listens to the conversation between a physician and patient, converts the conversation into a transcript, and then generates a clinical note. In theory, the physician spends less

Selecting an Electronic Health Record (EHR) platform is one of the most critical operational decisions a medical practice will make. Yet, many physicians find themselves locked into rigid, template-heavy software that increases administrative friction and leads to charting burnout. To help independent practices, specialty clinics, and healthcare leaders evaluate their options, we compiled a comprehensive

Artificial intelligence has rapidly shifted from a buzzword to a core expectation in healthcare technology. However, as vendors rush to market with “AI-powered” solutions, a critical divide has emerged: the difference between an EHR that simply integrates a third-party ambient scribe and an EHR built around native clinical intelligence. While AI scribes assist with basic