K Health

by K Health  · Based in United States → — 24/7 Access to High-Quality Medicine
Family Medicine Internal Medicine Psychiatry

Paid, with free symptom checker

Overview

K Health is a leading Clinical AI Primary Care platform that integrates AI into clinical workflows to provide superior, 24/7 comprehensive primary care for patients and health systems. Its AI Physician Mode acts as a co-pilot for physicians, streamlining both virtual and in-person care delivery. The platform offers an AI-powered symptom checker that automates patient intake and provides clinical insights, allowing providers to focus on personalized patient care.

Leveraging a vast dataset of over 400 million anonymized medical records and billions of health interactions, K Health’s machine learning algorithms compare user profiles with similar historical outcomes to suggest likely diagnoses and treatment paths. This data-driven approach aims to make high-quality healthcare more accessible and affordable.

K Health provides virtual primary care, urgent care, mental health services (including anxiety and depression treatment), pediatrics (symptom checker, remote care for children over 3), and chronic care management. The platform ensures a single medical record for continuity of care and integrates with Electronic Medical Records (EMR) for seamless information flow within health systems. Available as a mobile application, K Health has completed over 10 million Medical Chats and serves millions of users.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered symptom checker
  • Virtual primary care (24/7 access)
  • Clinical AI for automating intake and providing insights (AI Physician Mode, Provider Co-Pilot)
  • Single medical record for continuity of care
  • Diagnosis, prescription, and lab orders by licensed clinicians
  • Mental health services (anxiety, depression, ADHD medication management)
  • Chronic care management (e.g., hypertension, diabetes, weight management)
  • Integration with Electronic Medical Records (EMR) for health systems
  • Data-driven insights from millions of anonymized medical records ('People Like Me')
  • Mobile application for Android and iOS

Use Cases

  • Digital triage for patients and health systems
  • Expanding access to primary care beyond traditional hours
  • Reducing healthcare costs for health systems and patients
  • Automating patient intake and generating 'perfect charts' for providers
  • Coordinating virtual and in-person care (hybrid models)
  • Managing chronic conditions and medication remotely

What Physicians Need to Know

Key Capabilities
AI-powered symptom checker and diagnostic support; virtual primary care, urgent care, mental health (anxiety/depression), and pediatrics; prescription and refill services (excluding controlled substances); chronic condition management and medical weight loss; patient intake automation and 'Provider Co-Pilot' for clinicians; data-driven clinical recommendations based on large datasets; 24/7 access to virtual care; K Visual Analysis for quality assurance and clinician performance tracking.
Clinical Utility
Augments physician decision-making and provides clinical insights; improves patient intake process and reduces administrative tasks; offers personalized health information and treatment plans; demonstrated AI diagnostic accuracy comparable to or superior to human doctors in certain acute conditions; reduces unnecessary prescriptions through real-time feedback; facilitates continuous care and record sharing with integrated health systems; addresses primary care physician shortages and expands access to care.
Integration Options
Integrates with Electronic Medical Record (EMR) systems (e.g., Epic, Cerner) using bi-directional APIs (FHIR, HL7); partnerships with major health systems (e.g., Cedars-Sinai, Mayo Clinic, Hackensack Meridian Health, Hartford HealthCare); offers a white-label virtual care platform for hospitals and health systems; patient identity verification integrated with EMR patient lookup.
Compliance Status
HIPAA compliant; securely handles Personally Identifiable Information (PII); adheres to federal and state privacy laws, including specific guidance for reproductive health care.
Pricing Model
Primarily subscription-based for patients (e.g., $29/month for primary care, $49/month for mental health medication management); per-visit options available (e.g., $35 for a single primary care visit, $73 per mental health session); generally does not accept insurance directly for most services, focusing on cash-pay rates to reduce administrative costs; revenue also generated through partnerships with healthcare providers (referral fees).
User Experience
AI Physician Mode provides a pre-visit 'perfect chart' with synthesized data, potential diagnoses, and recommended care plans; reduces administrative burden, allowing clinicians to focus on patient engagement; real-time feedback and visual analysis tools help compare clinician decisions against guidelines and colleagues; primarily text-based remote medicine. Some user reviews mention potential delays in connecting with clinicians and issues with chat closures.
Support Quality
Medical leadership team trains and supervises over 100 licensed clinicians; Data Science and Medical Quality Assurance Team for quality control and intervention; automated patient verification and EMR lookups improve efficiency. Some negative user reviews regarding support responsiveness and clinician bedside manner have been noted.
Implementation Complexity
Offers integration with existing EMR systems via standard APIs (FHIR, HL7); designed to integrate into existing clinical workflows; white-label platform built for flexibility and customization for health systems; requires collaboration with internal engineering, design, and product teams for health system deployments; addresses the complexities of healthcare environments and data integration.
Evidence Base
AI trained on billions of data points from real-world medical records (e.g., Maccabi Healthcare Services, Mayo Clinic data); published peer-reviewed research demonstrating AI diagnostic accuracy and clinical recommendations; studies show AI recommendations matched doctors' clinical decisions in two-thirds of cases, and were rated superior in the remaining third for acute conditions; AI's recommendations had potentially harmful outcomes in 2.8% of cases vs. 4.6% for physicians in one study; K Health's Knowledge Agent showed higher comprehensiveness and less hallucination compared to other LLMs in a study; partnerships with academic institutions like Mayo Clinic and Cedars-Sinai for research and development.
Physician Tip

Leverage K Health's AI Physician Mode for efficient patient intake and to receive a pre-visit 'perfect chart' with synthesized data and potential diagnoses, which can serve as a valuable co-pilot for your clinical decision-making. Utilize the AI's data-driven recommendations as a supplementary tool, but always apply your professional judgment, especially in nuanced cases or when a physical examination is warranted. Explore the K Visual Analysis tools to monitor and improve your prescribing patterns and adherence to clinical guidelines, benefiting from real-time feedback and peer comparison. Be mindful that while the AI streamlines many aspects of care, it does not replace the need for in-person care for certain conditions or specialist consultations.

K Health prioritizes seamless integration with major EMR systems such as Epic and Cerner, utilizing standard APIs like FHIR and HL7 for bi-directional data exchange. This robust integration capability ensures real-time synchronization of patient data, providing a unified medical record across virtual and brick-and-mortar care settings. The platform also offers white-label solutions, allowing health systems to embed K Health's AI-powered virtual care directly into their existing infrastructure, enhancing continuity of care and patient experience.

Details

Category Patient Intake & Forms, Telehealth & Virtual Care
Pricing Paid, with free symptom checker
  • Symptom checker: Free; Single virtual visit: $35; Unlimited primary care subscription: $29/month; Unlimited all services (including mental health): $49/month; Mental health (per session): $73; Medication delivery: $12/month
  • Does not accept insurance for most direct-to-consumer services, but partners with health plans/employers
DeploymentCloud-based, Mobile App
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated — No information found regarding FDA clearance.
Integrations
EHR Not specified
Specialties Family Medicine, Internal Medicine, Psychiatry

What the Web Says

K Health is a telehealth platform offering urgent, primary, mental health, and pediatric care, often utilizing an AI symptom checker and connecting users with board-certified doctors via text-based communication. It aims to provide affordable and convenient healthcare, particularly for those without insurance. While many users praise its speed and cost-effectiveness, some physicians and users express concerns about the quality of care, app interface issues, and lack of in-person interaction.

Overall: Mixed

Strengths

  • Affordable healthcare services, often cheaper than traditional doctor visits.
  • Convenient 24/7 access to board-certified doctors and prescriptions.
  • AI symptom checker provides initial insights and recommendations.
  • Ability to get prescriptions and refills quickly.
  • Saves time by avoiding travel and waiting at doctor's offices or urgent care.
  • Positive experiences reported for specific conditions like UTIs and mental health medication management.

Limitations

  • App interface can be buggy, freeze frequently, and is not always user-friendly.
  • Lack of face-to-face interaction, with care primarily text-based.
  • Inconsistency in provider support and communication, with some users reporting long wait times and abrupt chat disconnections.
  • Cannot treat children younger than 3 years old or prescribe controlled substances.
  • Difficulty in getting specific prescriptions or second opinions, with some users feeling their concerns were disregarded.
  • Unclear distinction between AI-driven decisions and human clinician input.

Based on reviews from: Choosing Therapy, Medical News Today, Indeed.com, USARx.com, Trustpilot, Reddit (r/povertyfinance, r/Zepbound), YouTube, Business Wire, Forbes, G2, Better Business Bureau

Last updated: 2026-07-23

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Videos

Product demos, reviews, and walkthroughs for K Health.

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Frequently Asked Questions

K Health's AI acts as a 'physician assistant' or 'co-pilot,' primarily by automating patient intake and synthesizing medical records to provide AI-driven clinical recommendations to physicians. This integration aims to free up physicians to focus more on personalized patient care by streamlining initial assessments and offering clinical insights.
K Health states that it is HIPAA compliant and adheres to relevant laws and regulations concerning healthcare and health privacy. The company details its privacy practices in its Notice of Privacy Practices and de-identifies sensitive customer data for AI training to protect against leaks.
While K Health's AI has shown to match or even surpass physician decisions in certain cases, it has limitations, especially with nuanced decisions, adapting to new information, and visual examinations. The platform also cannot treat children under three, pregnant patients, or conditions requiring in-person examinations or controlled substances.
K Health primarily operates on a cash-pay model for patients, offering a monthly subscription for unlimited primary care or per-visit rates, with separate pricing for mental health services. While some employer and health plan partnerships exist, most services do not accept direct insurance payments.
Physicians might consider alternatives such as Teladoc, Amwell, MDLive, Doctor on Demand, and PlushCare, which also offer various telemedicine services. Some of these platforms may provide more traditional physician consultations without an AI intermediary or have broader insurance acceptance.
A recent study indicated that K Health's AI matched physicians' clinical decisions in two-thirds of cases and offered higher-quality care in the remaining third, making potentially harmful recommendations less often than physicians. However, the AI's diagnostic models are limited compared to a clinician's full access to patient history and external data, and its suggestions are for informational purposes only, not a definitive diagnosis.

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Suggest an Edit → | Last Verified: 2026-04-22 | First Added: 2026-04-22

Investors who backed K Health

Funded through the company that built this tool.

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