10 Best AI Solutions in Healthcare Reviewed in 2026

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.

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.

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.

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.

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.

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.

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.

Nabla is an ambient AI documentation platform for clinicians that uses live conversation capture to auto-generate clinical notes, care summaries, and referral letters across more than 50 medical specialties.

Who Is Nabla Best For?

Nabla is a natural fit for primary care physicians, nurse practitioners, and mental health providers in outpatient settings who document high volumes of patient encounters daily.

Why I Picked Nabla

I've included Nabla in my top picks because its multilingual documentation support sets it apart in a meaningful way for diverse patient populations. It captures conversations in multiple languages and generates structured clinical notes without requiring the clinician to switch tools or workflows. I also like its patient-facing summary feature, which auto-generates a visit summary in plain language alongside the clinical note. For high-volume outpatient settings, those two outputs from a single recorded encounter cover a lot of ground.

Nabla Key Features

• Real-time live transcript: Displays a live transcript of the patient-clinician conversation during the encounter, letting you review or reference dialogue without replaying recordings.
• Dot phrases and custom instructions: Lets you set preferred note formatting, shortcuts, and writing conventions so generated notes match your existing documentation style.
• Multi-setting encounter support: Captures and documents encounters across outpatient, inpatient, and telehealth visits from a single platform.
• Referral letter generation: Auto-drafts referral letters directly from the recorded encounter alongside the clinical note.

Nabla Integrations

Nabla integrates with 20+ EHR systems, including Epic, Oracle Health, athenahealth, NextGen, and Greenway, as well as Cerner and Opus. Nabla Connect, launched in October 2025, lets any EHR vendor embed Nabla's ambient AI in days. An API is available for custom integrations and white-label deployments.

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.

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.