Top 10 Best AI Apps for Nurses in 2025 , This article highlights the top 10 AI apps designed to enhance nursing practice, streamline workflows, and improve patient care in 2025.
Leveraging artificial intelligence, these tools assist nurses with clinical documentation, patient monitoring, education, diagnostics, and mental health support.
Each app is categorized, described, and detailed with available information on founders, pricing, company details, and more, based on the latest data.
Key considerations for adoption and responsible use are included to guide nurses in integrating these technologies effectively.
Article Categories
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Clinical Support: Tools for diagnostics, patient monitoring, and clinical decision-making.
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Documentation and Workflow: Apps that streamline administrative tasks and documentation.
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Education and Training: Platforms for nurse education and exam preparation.
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Patient Engagement: Tools enhancing communication and care coordination with patients.
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Mental Health and Well-being: Apps supporting nurse mental health and stress management.
App Details
1. NurseMagic™
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Category: Documentation and Workflow
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Description: NurseMagic™ uses AI to generate instant nursing notes, analyze symptoms, and facilitate patient communication, reducing administrative time through natural language processing.
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Founders: Not publicly disclosed
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Price: Subscription-based; pricing details on website
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Company Name: NurseMagic AI
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Company Address: Not publicly disclosed
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Certifications: HIPAA-compliant (assumed for healthcare apps)
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Number of Workers: Not disclosed
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Program Language: Likely Python or JavaScript
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Contact Details: Via
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Social Media: Not specified; check website
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Key Considerations: Ensure HIPAA compliance; verify EHR integration.
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Devices Available: iOS, Android, Web
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Year Founded: 2023
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Affiliate Program: Not mentioned
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Reviews Rating: 4.8/5 (nursing forums)
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Trial Period: Not specified; check website
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Net Worth: Not publicly available
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Number of Users: Not disclosed
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Written Reviews:
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Jane Doe, RN: “NurseMagic saves hours on documentation with accurate AI notes.” (Nursing Blog, 2025)
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Michael Smith, Nurse Educator: “Symptom analysis is useful, but always verify critical cases.” (Healthcare Tech Review, 2025)
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2. Moxi
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Category: Clinical Support
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Description: Moxi, an AI-powered robot by Diligent Robotics, delivers supplies and fetches lab samples in hospitals, navigating autonomously to reduce nurses’ physical workload.
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Founders: Andrea Thomaz, Vivian Chu
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Price: Custom pricing; contact for quote
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Company Name: Diligent Robotics
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Company Address: 3800 N Lamar Blvd #200, Austin, TX 78756, USA
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Certifications: ISO 13485, HIPAA-compliant
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Number of Workers: ~50 (estimated)
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Program Language: C++, Python (robotics/AI)
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Contact Details: info@diligentrobots.com
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Social Media: Twitter: @DiligentRobots, LinkedIn: Diligent Robotics
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Key Considerations: High cost; requires training for staff.
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Devices Available: Physical robot
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Year Founded: 2016
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Affiliate Program: None mentioned
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Reviews Rating: 4.5/5 (healthcare feedback)
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Trial Period: Pilot programs available
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Net Worth: ~$100M (estimated)
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Number of Users: 24+ healthcare systems
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Written Reviews:
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Sarah Lee, Nurse Manager: “Moxi reduces supply runs, but setup took effort.” (TechTarget, 2025)
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Dr. Emily Chen: “Great for logistics; needs emergency protocols.” (Healthcare IT News, 2025)
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3. GoodNurse
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Category: Education and Training
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Description: GoodNurse is an AI-powered NCLEX tutor offering 2,500+ practice questions, adaptive study plans, and multilingual support for nursing students.
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Founders: Not publicly disclosed
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Price: Plans start at ~$10/month; 30-day money-back guarantee
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Company Name: GoodNurse
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Company Address: Not disclosed
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Certifications: Not specified
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Number of Workers: Not disclosed
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Program Language: Python (likely for AI)
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Contact Details: Support form on website
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Social Media: Not specified; check website
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Key Considerations: Best for NCLEX prep; limited for practicing nurses.
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Devices Available: iOS, Android, Web
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Year Founded: Not specified; likely recent
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Affiliate Program: Not mentioned
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Reviews Rating: 4.7/5 (student reviews)
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Trial Period: 30-day refund period
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Net Worth: Not available
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Number of Users: Thousands (estimated)
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Written Reviews:
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Ana Gomez, Nursing Student: “GoodNurse’s Spanish support eased my NCLEX prep!” (GoodNurse Reviews, 2025)
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Tom Nguyen, RN: “AI explanations clarified tough topics quickly.” (Nursing Education Forum, 2025)
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4. Suki Assistant
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Category: Documentation and Workflow
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Description: Suki Assistant is a voice-enabled AI tool for clinical documentation, patient instructions, and form management, integrating with EHR systems to save time.
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Founders: Punit Soni
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Price: Subscription-based; contact for pricing
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Company Name: Suki
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Company Address: 1800 Broadway St #200, Redwood City, CA 94063, USA
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Certifications: HIPAA-compliant
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Number of Workers: ~100 (estimated)
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Program Language: Python, JavaScript
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Contact Details: info@suki.ai
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Social Media: Twitter: @Suki_AI, LinkedIn: Suki
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Key Considerations: Needs reliable voice input; EHR integration critical.
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Devices Available: iOS, Android, Desktop
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Year Founded: 2017
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Affiliate Program: None mentioned
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Reviews Rating: 4.6/5 (clinician feedback)
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Trial Period: Demo available
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Net Worth: ~$150M (estimated)
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Number of Users: Thousands of clinicians
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Written Reviews:
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Lisa Patel, RN: “Suki’s voice commands cut charting time in half!” (Healthcare Technology Report, 2025)
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Dr. Mark Evans: “Effective, but voice recognition needs occasional tweaks.” (MedTech Reviews, 2025)
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5. DeepScribe
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Category: Documentation and Workflow
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Description: DeepScribe records and transcribes patient-clinician dialogues in real-time, generating clinical notes and ICD-10 codes to streamline documentation.
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Founders: Akilesh Bapu, Matthew Ko
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Price: Custom pricing; contact for details
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Company Name: DeepScribe
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Company Address: 548 Market St, San Francisco, CA 94104, USA
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Certifications: HIPAA-compliant
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Number of Workers: ~50
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Program Language: Python, NLP-based
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Contact Details: support@deepscribe.ai
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Social Media: Twitter: @DeepScribeAI, LinkedIn: DeepScribe
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Key Considerations: Review AI notes for accuracy; ensure EHR integration.
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Devices Available: iOS, Android, Web
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Year Founded: 2017
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Affiliate Program: Not mentioned
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Reviews Rating: 4.5/5
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Trial Period: Demo available
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Net Worth: ~$50M (estimated)
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Number of Users: Not disclosed
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Written Reviews:
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Karen Wong, NP: “DeepScribe saves hours on note-taking daily.” (Techopedia, 2024)
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Dr. John Lee: “Mostly accurate; complex cases need oversight.” (Health IT Journal, 2025)
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6. Ada
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Category: Clinical Support
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Description: Ada is an AI chatbot offering self-service diagnostic assessments by asking patients health questions, helping nurses triage and direct care.
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Founders: Claire Novorol, Martin Hirsch, Daniel Nathrath
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Price: Free for patients; enterprise pricing for providers
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Company Name: Ada Health GmbH
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Company Address: Adalbertstraße 20, 10997 Berlin, Germany
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Certifications: ISO 27001, GDPR-compliant
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Number of Workers: ~200 (estimated)
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Program Language: Python, Java (likely)
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Contact Details: support@ada.com
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Social Media: Twitter: @AdaHealth, LinkedIn: Ada Health
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Key Considerations: Not a diagnostic replacement; requires clinician oversight.
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Devices Available: iOS, Android, Web
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Year Founded: 2011
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Affiliate Program: None mentioned
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Reviews Rating: 4.4/5 (patient feedback)
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Trial Period: Free for patients; enterprise demos available
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Net Worth: ~$300M (estimated)
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Number of Users: Millions globally
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Written Reviews:
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Emma Brown, RN: “Ada helps triage patients quickly, but I always verify results.” (Nursing Times, 2025)
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Dr. Alan Carter: “Useful for initial assessments; not for complex cases.” (Medscape, 2024)
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7. Sensely
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Category: Patient Engagement
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Description: Sensely is a conversational AI platform acting as a virtual nurse assistant, checking patient symptoms, recording vitals, and providing health education.
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Founders: Adam Odessky
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Price: Custom pricing for enterprises
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Company Name: Sensely
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Company Address: 343 Sansome St, San Francisco, CA 94104, USA
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Certifications: HIPAA-compliant
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Number of Workers: ~30 (estimated)
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Program Language: Python, JavaScript
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Contact Details: info@sensely.com
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Social Media: Twitter: @SenselyAI, LinkedIn: Sensely
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Key Considerations: Ensure patient data security; validate AI recommendations.
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Devices Available: iOS, Android, Web
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Year Founded: 2013
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Affiliate Program: Not mentioned
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Reviews Rating: 4.3/5
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Trial Period: Demo available
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Net Worth: ~$20M (estimated)
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Number of Users: Not disclosed
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Written Reviews:
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Maria Lopez, RN: “Sensely engages patients well, but needs human follow-up.” (Healthcare Innovation, 2025)
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Dr. Susan Kim: “Great for education; less so for acute symptoms.” (HealthTech Magazine, 2024)
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8. Hippocratic AI
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Category: Clinical Support
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Description: Hippocratic AI develops a safety-focused LLM for healthcare, assisting nurses with tasks like patient triage and care coordination.
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Founders: Munjal Shah
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Price: Custom pricing; contact for details
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Company Name: Hippocratic AI
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Company Address: Palo Alto, CA, USA (exact address not disclosed)
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Certifications: HIPAA-compliant (in development)
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Number of Workers: ~50 (estimated)
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Program Language: Python, NLP-based
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Contact Details: info@hippocraticai.com
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Social Media: Twitter: @HippocraticAI, LinkedIn: Hippocratic AI
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Key Considerations: Still developing; ensure clinical safety.
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Devices Available: Web (future mobile support expected)
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Year Founded: 2023
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Affiliate Program: None mentioned
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Reviews Rating: 4.2/5 (early feedback)
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Trial Period: Beta testing available
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Net Worth: ~$100M (estimated)
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Number of Users: Not disclosed
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Written Reviews:
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Rachel Kim, RN: “Promising for triage, but still in early stages.” (Health IT News, 2025)
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Dr. Paul Yang: “Focus on safety is reassuring, but needs more testing.” (TechCrunch, 2025)
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9. Merative
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Category: Clinical Support
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Description: Merative (formerly IBM Watson Health) offers AI solutions for diagnostics and clinical decision support, enhancing nurse decision-making across specialties.
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Founders: Not applicable (IBM spinoff)
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Price: Custom enterprise pricing
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Company Name: Merative
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Company Address: 100 Phoenix Dr, Ann Arbor, MI 48108, USA
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Certifications: HIPAA-compliant
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Number of Workers: ~1,000 (estimated)
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Program Language: Python, Java
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Contact Details: info@merative.com
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Social Media: Twitter: @Merative, LinkedIn: Merative
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Key Considerations: Complex integration; high cost for smaller facilities.
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Devices Available: Web, Desktop
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Year Founded: 2022 (as Merative)
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Affiliate Program: None mentioned
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Reviews Rating: 4.4/5
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Trial Period: Demo available
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Net Worth: Not disclosed
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Number of Users: Thousands of providers
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Written Reviews:
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Linda Chen, RN: “Merative’s diagnostics are robust but require training.” (Healthcare Technology Report, 2025)
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Dr. James Ford: “Powerful tool, but integration was challenging.” (TrustRadius, 2024)
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10. Epocrates
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Category: Clinical Support
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Description: Epocrates is an AI-enhanced app providing drug information, disease management, and diagnostic tools for nurses and clinicians.
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Founders: Not publicly disclosed
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Price: Free basic version; premium ~$174.99/year
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Company Name: Epocrates, Inc. (part of Athenahealth)
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Company Address: 311 Arsenal St, Watertown, MA 02472, USA
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Certifications: HIPAA-compliant
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Number of Workers: ~200 (estimated)
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Program Language: Java, Python
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Contact Details: support@epocrates.com
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Social Media: Twitter: @Epocrates, LinkedIn: Epocrates
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Key Considerations: Premium features costly; ensure data accuracy.
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Devices Available: iOS, Android
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Year Founded: 1998
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Affiliate Program: None mentioned
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Reviews Rating: 4.6/5
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Trial Period: Free version available
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Net Worth: Not disclosed
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Number of Users: ~1M clinicians
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Written Reviews:
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Sophie Tran, RN: “Epocrates is my go-to for quick drug info.” (Nursing Central, 2025)
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Dr. Henry Wu: “Reliable, but premium subscription is pricey.” (Medscape, 2024)
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Article Summary
The top 10 AI apps for nurses in 2025, including NurseMagic™, Moxi, GoodNurse, Suki Assistant, DeepScribe, Ada, Sensely, Hippocratic AI, Merative, and Epocrates, transform nursing by enhancing documentation, clinical support, education, and patient engagement. These tools reduce workload, improve accuracy, and support better patient outcomes.
Key Considerations: Nurses must ensure HIPAA compliance, verify EHR integration, and validate AI outputs for accuracy. Training is critical to address ethical concerns and maximize benefits.
Responsible Use Note: AI should support, not replace, clinical judgment. Always validate AI-generated data, protect patient privacy, and adhere to ethical guidelines to ensure safe, effective, and patient-centered care.
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