Quick pick: Nabla Copilot is the best starting point for most nurses — it's free to try, HIPAA compliant, and handles shift notes and patient summaries efficiently.

Top 8 AI Tools for Nurses in 2026

AI tools for nurses are a different category from general medical AI. The best ones handle SBAR handovers, nursing notes, patient education materials, and medication documentation — here's what works.

#1

Nabla Copilot

Editor's ChoiceFree Plan

Nabla Copilot is the most accessible AI documentation tool for nursing teams. It generates SOAP and SBAR-format notes from voice, summarises patient encounters, and drafts patient education handouts. Its free plan is genuinely usable — not a stripped-down trial.

Best for: Bedside nurses, outpatient teams Pricing: Free / Pro from $119/mo HIPAA/Compliant: ✅ HIPAA
✅ Free plan is actually useful✅ SBAR format support❌ Specialist terminology less strong
⭐ 4.7
Full Review
#2

Microsoft Dragon Ambient eXperience (DAX)

Best EHR Integration

DAX Copilot works seamlessly with Epic and Cerner, placing AI-generated nursing notes directly into the EHR without copy-paste. For hospital systems already running these platforms, it's the most friction-free option for nursing documentation.

Best for: Hospital nursing teams on Epic/Cerner Pricing: Enterprise HIPAA/Compliant: ✅ HIPAA
✅ Notes go directly into EHR❌ Expensive for individual use
⭐ 4.6
Full Review
#3

Glass.health

Free Tier

Glass.health functions as a clinical decision support tool — nurses describe a patient situation and it surfaces relevant protocols, medication considerations, and care pathways from evidence-based sources. Great for complex patients or unfamiliar presentations.

Best for: Complex care, clinical decision support Pricing: Free / Pro from $29/mo HIPAA/Compliant: ✅ HIPAA
✅ Evidence-based responses✅ Free plan available❌ Not a documentation tool
⭐ 4.5
Full Review
#4

Abridge

Abridge focuses on clinical conversation summarisation. It records and structures patient conversations into structured notes with key clinical points highlighted. Used by nurses and physicians across major health systems including UPMC.

Best for: Patient encounter documentation Pricing: Enterprise HIPAA/Compliant: ✅ HIPAA
✅ Excellent at conversation structure❌ Enterprise pricing only
⭐ 4.5
Full Review
#5

Penny by Elsevier

Penny is a clinical AI assistant embedded in nursing workflows, answering drug interaction questions, care protocol queries, and clinical guideline lookups in real time. Pulls from Elsevier's clinical database — one of the most respected in nursing education.

Best for: Clinical reference, drug questions Pricing: Institutional (via hospital) HIPAA/Compliant: ✅ HIPAA
✅ Trusted Elsevier content❌ Only available via hospital subscription
⭐ 4.4
Full Review

Comparison Table: AI Tools for Nurses

ToolBest ForStarting PriceFree TrialRating
Nabla CopilotDocumentation AIFree / $119/mo⭐ 4.7
DAX CopilotEHR-integrated docsEnterprise⭐ 4.6
Glass.healthClinical decisionsFree / $29/mo⭐ 4.5
AbridgeConversation summariesEnterprise⭐ 4.5
Penny by ElsevierClinical referenceInstitutional⭐ 4.4

How to Choose the Right AI Tool for Nurses

Nurses have different AI needs depending on their setting — bedside nursing, community health, and specialist nursing all benefit from different tools.

  • Documentation reduction → Nabla Copilot or DAX for note generation.
  • Clinical decisions → Glass.health for evidence-based support.
  • Drug & protocol reference → Penny by Elsevier.
  • Hospital teams on Epic → DAX Copilot is the most integrated option.

Frequently Asked Questions

Can nurses legally use AI for clinical documentation?

Yes, with HIPAA-compliant tools. The nurse remains clinically and legally responsible for all documentation — AI generates a draft, the nurse reviews and signs off. Never use a non-HIPAA-compliant tool for patient information.

Do AI nursing tools work for community and aged care nurses?

Nabla Copilot and Glass.health both work outside hospital settings and are suitable for community nursing, aged care, and home health workflows where EHR integration is less critical.