De 10 beste AI-løsningene i helsevesenet gjennomgått i 2026

Anmeldelser av de beste AI-løsningene i helsevesenet

1. 

   1

   Microsoft Dragon Copilot

   Best for voice-based clinical documentation and automation

   • Free demo available
   • Pricing upon request

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   Customer Rating:4.6/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Microsoft Dragon Copilot is a voice-driven clinical documentation platform that combines speech recognition, ambient AI listening, and generative AI to handle note creation, inbox management, and clinical workflow automation.

   Who Is Microsoft Dragon Copilot Best For?

   Microsoft Dragon Copilot is a strong fit for large health systems and enterprise hospitals already operating within the Microsoft ecosystem.

   Why I Picked Microsoft Dragon Copilot

   I picked Microsoft Dragon Copilot as one of the best because it goes well beyond dictation. What I find most compelling is its role-based design: physicians, nurses, and radiologists each get purpose-built workflows, not one generic experience. For radiologists, it pairs with PowerScribe One to draft impressions and synthesize prior reports. For nurses, it captures real-time observations as structured flowsheet entries, ready for EHR transfer with one tap.

   Microsoft Dragon Copilot Key Features

   • Ambient multilingual conversation capture: Transcribes multi-party, multilingual conversations and orders at the point of care or through on-demand recordings.
   • Specialty-specific note generation: Automatically converts captured conversations into customizable notes tailored to the clinician's specialty.
   • In-workflow information surfacing: Pulls answers from transcripts, notes, and third-party medical references with citations, without requiring the clinician to search or toggle.
   • Accurate coding suggestions: Extracts relevant clinical details to generate coding suggestions, referral letters, and after-visit summaries automatically.

   Microsoft Dragon Copilot Integrations

   Dragon Copilot embeds directly within supported EHRs such as Epic, including Epic Rover for nurses, and athenahealth has also embedded Dragon Copilot into its athenaOne EHR. TruBridge integrates Dragon Copilot directly into its EHR Notes workflow, and radiologists can use it as a desktop companion integrated with PowerScribe One. Microsoft is deepening its partner ecosystem through collaborations with Elsevier, OpenEvidence, and Wolters Kluwer for clinical reference content, and a Developer Kit is available for EHR partners who want to build their own embedded integrations.

   Pros and Cons

   Pros:

   • Works offline without internet connectivity
   • No voice profile training required
   • Supports multilingual ambient conversation capture

   Cons:

   • Enterprise-only purchasing with no flex tier
   • Nurse workflows only available in the US
   Learn more about Microsoft Dragon Copilot:

   • Check out Microsoft Dragon Copilot on their website
2. 

   2

   Freed AI

   Best for simple AI scribing for small practices

   • 7-day free trial
   • From $39/month

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   Customer Rating:5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Freed is an AI scribe platform built specifically for independent clinics, combining clinical note generation, coding assistance, decision support, and front desk automation in a single app.

   Who Is Freed Best For?

   Freed is a strong fit for solo practitioners and small independent clinics looking for a lightweight, easy-to-deploy AI scribe without complex onboarding.

   Why I Picked Freed

   Freed is one of my top picks because I love how purpose-built it is for independent practice settings. The AI scribe converts patient conversations into specialty-specific notes, and the built-in coding assistant surfaces ICD-10, CPT, and E/M code suggestions at the highest justified level, directly inside the scribe workflow. I also like the clinical decision support feature, which pulls evidence-based answers from 50+ trusted sources, tailored to each patient's context.

   Freed Key Features

   • Visit prep: Summarizes key patient context, follow-up items, and the previous visit before each appointment, so you walk in prepared.
   • Patient instructions: Auto-generates plain-language post-visit guidance from your clinical notes, ready to review and send directly to the patient.
   • Post-visit letters: Creates referral letters, absence notes, return-to-work certifications, and 14+ other letter types from the context of each patient encounter.
   • Custom template builder: Lets you define note sections, add custom AI prompts, and build unlimited templates to match your exact documentation style.

   Freed Integrations

   Freed pushes notes to dozens of browser-based EHRs through its Chrome extension, with the best support currently for SimplePractice, PracticeFusion, Tebra, Elation, TherapyNotes, Athena, Optimantra, Kipu, Aarista, and DrChrono. No IT setup is required, and no API or Zapier support is clearly documented.

   Pros and Cons

   Pros:

   • Notes adapt to your personal documentation style
   • 98% medical term recall across 30+ specialties
   • Sets up in minutes with no IT involvement

   Cons:

   • Limited multi-party encounter speaker diarization
   • No native EHR API write-back available
   Learn more about Freed AI:

   • Check out Freed AI on their website
3. 

   3

   DeepScribe

   Best for ambient AI documentation during patient visits

   • Free demo available
   • Pricing upon request

   Visit Website

   Customer Rating:4.1/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   DeepScribe is an ambient AI medical scribing platform built specifically for oncology, offering automated clinical documentation, pre-visit chart summaries, AI-driven coding, and context-aware note generation during patient visits.

   Who Is DeepScribe Best For?

   DeepScribe is a strong fit for oncology practices and specialty clinics that handle complex, high-volume documentation across multi-provider care teams.

   Why I Picked DeepScribe

   DeepScribe earns its spot on my shortlist because it's the only ambient AI scribing platform built exclusively for oncology. What I find most impressive is its SmartPrep feature, which surfaces a patient's labs, imaging, medications, and prior diagnoses before the visit even begins. Then, during the encounter, its context-aware documentation pulls all of that prior data forward into the note automatically. I also like that it runs embedded directly inside OncoEMR and iKnowMed, so oncologists never leave their EHR.

   DeepScribe Key Features

   • AI coding support: Suggests E/M, HCC, and ICD-10 codes in real time by combining live conversation data with past EHR records.
   • Customization Studio: Analyzes your past notes on day one to match your documentation style, then refines further with every edit you make.
   • Visit-type intelligence: Automatically adjusts note structure and content based on encounter type, whether it's a new consult, follow-up, or infusion visit.
   • Audit-ready documentation: Generates notes with compliant coding and structured output designed to hold up under payer review.

   DeepScribe Integrations

   DeepScribe integrates bi-directionally with Epic, athenahealth, eClinicalWorks, ModMed, NextGen, AdvancedMD, DrChrono, Flatiron OncoEMR, Ontada/iKnowMed Generation 2, and Objective Medical Systems (OMS). It also integrates with specialty EHRs such as UroChart. DeepScribe is available on the Epic Connection Hub and uses an API interface for its EHR integrations.

   Pros and Cons

   Pros:

   • Generates coding suggestions during encounters
   • Voice commands go beyond note dictation
   • Covers 100+ medical specialties out-of-box

   Cons:

   • No self-serve trial or individual signup
   • Limited to four supported EHR platforms
   Learn more about DeepScribe:

   • Check out DeepScribe on their website
4. 

   4

   Abridge

   Best for ambient clinical documentation and AI visit notes

   • Not available
   • Pricing upon request

   Visit Website

   Customer Rating:4.2/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Abridge is an ambient AI platform for health systems that captures clinical conversations in real time and converts them into structured visit notes, pre-visit summaries, coding support, and post-visit documentation across 40+ specialties.

   Who Is Abridge Best For?

   Abridge is a strong fit for clinicians and health systems that need to reduce documentation time without disrupting their existing EHR workflows.

   Why I Picked Abridge

   Abridge is one of my top picks because I love that it covers the full care workflow, not just the note itself. Before a visit, it pulls patient history and prior visit context so clinicians walk in prepared. During the encounter, it captures the conversation in real time and surfaces clinical decision support. After the visit, it generates finalized notes with coding specificity and patient summaries, all ready for review before the clinician even sits down.

   Abridge Key Features

   • Multilingual conversation recognition: Captures and transcribes clinical conversations across a wide range of languages, supporting diverse patient populations.
   • Linked evidence auditing: Ties every AI-drafted note output back to its source information, so clinicians can verify accuracy before signing off.
   • Analytics and reporting dashboard: Tracks and monitors Abridge usage across a health system, giving administrators visibility into adoption and documentation patterns.
   • Real-time prior authorization: Surfaces prior authorization requirements during the clinical conversation, flagging them at the point of care before the visit ends.

   Abridge Integrations

   Abridge's deepest EHR integration is with Epic, where it's considered best-in-class. Abridge has expanded to support athenahealth, eClinicalWorks, Oracle Health (Cerner), Allscripts, and NextGen, though these integrations are newer and may not offer the same depth as the Epic integration. If your practice isn't on Epic, I'd recommend evaluating the specific integration depth available for your EHR before committing. An API is available for custom integrations.

   Pros and Cons

   Pros:

   • Notes generate in real time during visits
   • Covers 50+ medical specialties
   • Linked evidence ties notes to audio sources

   Cons:

   • Complex cases still need manual editing
   • No self-serve option for individual clinicians
   Learn more about Abridge:

   • Check out Abridge on their website
5. 

   5

   Regards AI

   Best for AI clinical insights from EHR data

   • Free demo available
   • Pricing upon request

   Visit Website

   Customer Rating:5/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Regard is an AI-powered clinical documentation platform that analyzes EHR data to recommend diagnoses and generate complete draft notes before a physician sees the patient.

   Who Is Regard Best For?

   Regard is a strong fit for hospital systems and health networks where hospitalists and inpatient physicians manage high patient volumes across complex, data-heavy charts.

   Why I Picked Regard

   Regard earns its spot on my shortlist because it approaches clinical documentation from a direction no other tool does. Rather than transcribing what a physician says, Regard's Clinical Insights Platform scans the entire patient record before each encounter, surfaces missed diagnoses, and pre-populates a near-complete draft note. I particularly like its diagnosis recommendation engine, which catches conditions buried in chart data that clinicians would realistically never surface on their own in a high-volume inpatient day.

   Regard Key Features

   • Ambient scribe integration: Captures and incorporates the live patient-clinician conversation into the draft note alongside EHR data in real time
   • Discharge summary and attestation generation: Produces discharge summaries and physician attestations directly from the clinical record, not just progress notes
   • Max AI agent: Answers clinical questions from the patient record, summarizes encounters, and supports documentation decisions at the point of care
   • Revenue cycle documentation support: Flags documentation gaps that affect coding and billing, helping clinical and revenue cycle teams align on accurate claim submission

   Regard Integrations

   Regard integrates directly into a provider's EHR and partners with Epic and Cerner (Oracle Health). Regard is also a strategic inpatient partner in Microsoft's Dragon Copilot ecosystem, and its ambient scribe functionality can integrate with an existing ambient scribe already in use at a health system. Zapier and public API support are not clearly documented.

   Pros and Cons

   Pros:

   • 200+ clinical algorithms for diagnosis support
   • Drafts notes before physician sees patient
   • Surfaces missed diagnoses from full chart review

   Cons:

   • Limited outpatient and specialty coverage currently
   • Primarily built for inpatient hospitalist workflows
   Learn more about Regards AI:

   • Check out Regards AI on their website
6. 

   6

   Tempus

   Best for AI precision medicine and genomic insights

   • Free demo available
   • Pricing upon request

   Visit Website

   Customer Rating:4.6/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Built around one of the largest libraries of clinical and molecular data in oncology, Tempus is an AI-driven precision medicine platform offering genomic sequencing, biomarker analysis, and AI-assisted clinical decision support.

   Who Is Tempus Best For?

   Tempus is a strong fit for oncologists, molecular pathologists, and cancer care teams at health systems that need genomic testing and AI-driven clinical insights in a single platform.

   Why I Picked Tempus

   Tempus earns its spot on my shortlist because no other platform pairs tumor-agnostic genomic testing with AI models across oncology, cardiology, and neurology in one place. I like that the xF liquid biopsy panel detects circulating tumor DNA from a blood draw, making genomic testing viable for patients who can't provide a tissue sample. The Lens platform then layers AI across that molecular data to surface population-level patterns.

   Tempus Key Features

   • Tempus ONE: An AI clinical assistant that answers natural-language questions about a patient's molecular data, pulling from real-world evidence in real time.
   • TIME Trial matching: Automatically matches patients to open clinical trials based on their specific molecular profile and diagnosis.
   • AI-powered ECG analysis: Flags conditions like low ejection fraction and atrial fibrillation directly from standard electrocardiogram readings.
   • Pathology AI tools: Applies machine learning to digital pathology slides to assist with tumor detection and tissue classification.

   Tempus Integrations

   Tempus integrates directly into electronic health record (EHR) systems, with deep connectivity across major EHR platforms used by health systems. A notable integration is with Epic, where Tempus was the first lab to deliver discrete genomic results over Epic's Order & Results Anywhere (Aura) Network. Native integrations beyond EHR systems are not clearly documented, and Zapier and public API support are not available for the clinical platform.

   Pros and Cons

   Pros:

   • Spans oncology, cardiology, and neuropsychiatry
   • AI-powered clinical trial matching included
   • Largest clinical and molecular oncology data library

   Cons:

   • Genomic reports require specialized clinical interpretation
   • Primarily oncology-focused with narrower general coverage
   Learn more about Tempus:

   • Check out Tempus on their website
7. 

   7

   Hippocratic AI

   Best for patient-facing healthcare AI agents

   • Free demo available
   • Pricing upon request

   Visit Website

   Customer Rating:4/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.

   

   Hippocratic AI is a generative AI platform built for healthcare that deploys conversational AI agents for patient outreach, care management, appointment scheduling, and clinical trial support across provider, payor, and pharma settings.

   Who Is Hippocratic AI Best For?

   Hippocratic AI is a strong fit for health systems, payors, and pharma organizations that need to scale patient communication without adding clinical headcount.

   Why I Picked Hippocratic AI

   I picked Hippocratic AI as one of the best because it's the only platform I've seen purpose-built exclusively around patient-facing AI agents rather than clinical decision support or back-office automation. What I find compelling is the library of 1,000+ specialty-specific agents, covering everything from colorectal cancer screening outreach to post-discharge pneumonia recovery calls. I also like that the agents use motivational interviewing techniques and can escalate to a human nurse when they detect subtle symptom cues, which is a level of clinical specificity most general-purpose AI tools can't replicate.

   Hippocratic AI Key Features

   • Multi-call memory: AI agents retain context from prior conversations, so returning patients don't have to repeat their history on every follow-up call.
   • Multilingual patient outreach: Agents conduct conversations in multiple languages, including Spanish, to support care gap closure across diverse patient populations.
   • Adverse event detection and escalation: Agents document adverse events, collect patient and reporter details, and escalate to a clinical safety review when needed.
   • Agent filtering by organizational goal: A built-in filtering system lets you browse and deploy agents by clinical goal, such as readmission prevention, health equity, or quality improvement.

   Hippocratic AI Integrations

   Native integrations are not clearly documented on Hippocratic AI's platform. However, the Nurse Co-Pilot launches directly from within the EHR, and after each call, a structured clinical summary and full transcript are written back to the EHR automatically. The vendor hasn't published EHR-specific details yet, so if your workflows depend on deep read/write EHR connectivity, I'd recommend confirming the specifics with Hippocratic AI directly before committing.

   Pros and Cons

   Pros:

   • Multilingual voice agents for diverse populations
   • Built-in clinical guardrails prevent diagnostic overreach
   • Over 1,000 specialty-specific agent scripts available

   Cons:

   • Opaque pricing requires a sales conversation
   • Enterprise-only model excludes smaller practices
   Learn more about Hippocratic AI:

   • Check out Hippocratic AI on their website
8. 

   8

   Aidoc

   Best for AI radiology triage and care coordination

   • Free demo available
   • Pricing upon request

   Visit Website

   

   Aidoc is a medical AI platform that runs FDA-cleared algorithms across radiology, cardiology, and vascular imaging to detect critical findings, prioritize worklists, and trigger care team workflows.

   Who Is Aidoc Best For?

   Aidoc is well-suited for radiology departments and imaging-heavy service lines that need to manage time-sensitive findings across multiple modalities and care teams.

   Why I Picked Aidoc

   I've included Aidoc in my top picks because it closes the gap between imaging findings and clinical action in a way most radiology AI tools don't. I particularly like the care coordination workflows that auto-trigger alerts to the right care team members the moment a critical finding is confirmed. Aidoc also tracks follow-up status across cases, so nothing gets missed between the radiologist's read and downstream treatment decisions.

   Aidoc Key Features

   • Operational analytics dashboard: Displays department-level metrics on AI-flagged case volumes, turnaround times, and finding rates across imaging modalities.
   • Structured report add-ins: Inserts AI-generated measurements and findings directly into radiology report templates at the point of dictation.
   • On-call escalation routing: Automatically reroutes critical finding alerts to available on-call physicians when primary contacts are unreachable.
   • Longitudinal patient tracking lists: Maintains living lists of patients with specific conditions for ongoing monitoring across follow-up imaging encounters.

   Aidoc Integrations

   Aidoc's aiOS is vendor-agnostic and connects to existing systems, including PACS, VNA, worklists, EHR, scheduling, and communication interfaces. Aidoc is the only AI vendor available within Epic's App Orchard and the only vendor that can integrate with Epic Radiant to provide acuity-based feedback within radiologists' workflows. The platform connects to your IT systems using standard communication protocols like DICOM, HL7, and FHIR. Aidoc is also available through three authorized resellers: Change Healthcare, Merative, and Radiology Partners.

   Pros and Cons

   Pros:

   • Consolidates multi-vendor AI into one widget
   • Deployed in over 900 hospitals globally
   • Always-on AI runs continuously without manual activation

   Cons:

   • Limited independent clinical validation studies available
   • Complex integration with legacy IT infrastructure
   Learn more about Aidoc:

   • Check out Aidoc on their website
9. 

   9

   K Health

   Best for AI-supported virtual primary care

   • Not available
   • Pricing upon request

   Visit Website

   

   K Health is a clinical AI platform for health systems that combines an AI co-pilot for symptom investigation, patient triage, and documentation automation with a virtual primary care delivery model.

   Who Is K Health Best For?

   K Health fits primary care physicians and care teams at health systems looking to offload administrative work and triage to AI before the clinical encounter.

   Why I Picked K Health

   I picked K Health as one of the best because its AI co-pilot generates a structured patient chart before the visit even begins, so providers arrive at the encounter already oriented to the patient's symptoms and history. I find the pre-visit AI triage layer especially compelling: it investigates symptoms, routes patients appropriately, and auto-populates documentation directly inside Epic. That means physicians on a virtual primary care shift aren't starting from scratch with every encounter.

   K Health Key Features

   • White-labeled patient app: Delivers patient intake and engagement tools via MyChart or a custom mobile app, branded under the health system's identity.
   • 24/7 virtual clinic staffing: A dedicated team of credentialed providers operates around-the-clock virtual clinics aligned to each partner health system's clinical protocols.
   • Post-visit AI support: The provider platform extends AI assistance beyond the encounter, covering post-visit workflows within Epic.
   • Chronic condition AI modeling: K Health applies deep neural network models to support clinical decision-making for conditions like hypertension management.

   K Health's provider platform integrates directly into Epic for pre-visit, point-of-care, and post-visit support, and its patient platform connects through MyChart and custom mobile apps. Native integrations beyond the Epic ecosystem are not clearly documented, and Zapier and API support for third-party connections are not publicly available.

   Pros and Cons

   Pros:

   • 24/7 asynchronous chat-based patient access
   • Clinical AI validated in peer-reviewed research
   • AI pre-visit charting reduces documentation time

   Cons:

   • Primarily focused on the US market
   • Chat-first model limits physical exam capability
   Learn more about K Health:

   • Check out K Health on their website
10. 

    10

    Suki AI

    Best for AI medical scribing and EHR-ready notes

    • Not available
    • Pricing upon request

    Visit Website

    

    Suki AI is an ambient clinical intelligence platform that captures patient conversations to generate clinical notes, patient instructions, orders, and revenue cycle data across 100+ specialties.

    Who Is Suki AI Best For?

    Suki AI is a strong fit for individual clinicians and ambulatory practices across 100+ specialties who need AI-generated notes pushed directly into their EHR without a manual editing step.

    Why I Picked Suki AI

    I picked Suki AI as one of the best because its note quality sets a clear standard. What I like is that Suki doesn't stop at generating a draft: it maps structured data from the encounter directly into EHR-ready fields, including ICD-10, HCC, CPT, and E/M codes, without a separate billing step. Its problem-based charting lets clinicians document by diagnosis rather than by field, which mirrors how most physicians think during a visit.

    Suki AI Key Features

    • Voice-enabled note editing: Make corrections or additions to a generated note using spoken commands without touching a keyboard.
    • Ambient order staging: Verbally dictate prescriptions, including medication name, sig, quantity, and refills, and Suki stages them in the EHR for review and sign-off.
    • Clinical Q&A with chart context: Ask natural-language questions about a patient's chart, such as recent lab values or medication gaps, and Suki surfaces answers in real time.
    • Nursing documentation support: A dedicated nursing workflow, co-developed with leading health systems, captures nursing encounters across all major EHRs and care settings.

    Suki AI Integrations

    Suki AI offers deep, bi-directional integrations with Epic, Oracle Health, athenahealth, and MEDITECH, and its EHR Partnership Program extends to MEDENT, Azalea Health, and WellSky. EHR partners can integrate Suki through FHIR API and HL7, and a non-integrated copy-paste mode is available for other EHRs.

    Pros and Cons

    Pros:

    • Voice commands handle order staging and note edits
    • Problem-based charting mirrors physician thinking
    • Maps notes directly to ICD-10, HCC, CPT, and E/M codes

    Cons:

    • Non-integrated EHRs require manual copy-paste
    • Deep EHR integration limited to four major systems
    Learn more about Suki AI:

    • Check out Suki AI on their website