Best AI Tools for Healthcare

Abridge captures the clinician-patient conversation in real time and generates a structured, EHR-ready clinical note with linked source audio for every line, supporting English and Spanish encounters. It replaces manual charting and dictation for physicians, nurse practitioners, and PAs across large health systems, cutting documentation time and giving clinicians a verifiable trail back to what the patient actually said.

Suki is a voice-first AI assistant that ambiently drafts notes, answers questions about the patient chart, generates codes, and lets clinicians dictate commands hands-free during or after a visit. It is used by physicians and advanced practice providers who want a lightweight assistant layered on Epic, Cerner, Athena, or Meditech rather than a full platform replacement, accelerating both note creation and chart navigation.

DAX Copilot uses ambient listening to convert the multi-party visit conversation into a specialty-specific draft note that writes directly into the EHR, with deep native integration into Epic via the Nuance and Microsoft stack. It is the enterprise default for many large hospital networks, used by clinicians across primary care and specialties to eliminate after-hours documentation and reduce the cognitive load of charting between patients.

Hippocratic AI builds safety-focused generative voice agents for low-risk, non-diagnostic patient-facing tasks such as pre-op instructions, post-discharge follow-up, medication adherence calls, and chronic disease check-ins. It is deployed by health systems and payers to scale routine outreach that nursing and care-management teams cannot staff at volume, handling thousands of patient calls while escalating anything clinical to a human.

ChatGPT serves as a general-purpose reasoning and drafting tool that clinicians use off-label to summarize research, brainstorm differentials, simplify patient instructions, draft prior-authorization letters, and rephrase complex findings into plain language. It is used informally by individual physicians, residents, and administrative staff for tasks outside the EHR, though it requires care to avoid entering protected health information into non-compliant instances.

Glass AI is a clinical decision-support tool built for physicians that generates structured differential diagnoses and evidence-based clinical plans from a short case summary or problem representation. It is used by clinicians and trainees as a reasoning aid at the point of care, accelerating the workup-planning step and surfacing diagnostic possibilities a busy clinician might not immediately recall, with the clinician retaining final judgment.