K Health

K Health is a healthcare technology company that develops AI-powered clinical infrastructure for hospitals, medical groups, and other healthcare organisations. Founded in 2016, the company originally became known for its consumer-facing digital primary care platform, which combined an AI symptom checker with access to healthcare professionals. Its business has since evolved towards providing clinical AI tools and virtual care technology through partnerships with established health systems.

An important change in the company’s history is that K Health discontinued its standalone consumer platform on December 31, 2025. It continues to operate through health-system partnerships, supplying technology that healthcare providers can incorporate into their own patient services. Its current focus is therefore less about offering an independent healthcare app and more about helping hospitals improve patient engagement, clinical intake, provider workflows, and access to virtual care.

The company’s current platform is built around AI agents that support different stages of a healthcare visit. These include PatientGPT, Dynamic Intake, KMED, and Perfect Note. Together, they are intended to connect patient-facing interactions with clinical information and provider workflows. The platform can use information from a patient’s electronic health record (EHR) to provide more relevant interactions and help clinical teams prepare for consultations.

PatientGPT is K Health’s patient-facing clinical AI platform. It is designed to help patients ask health-related questions, understand available care options, and navigate services offered by their health system. Unlike a general-purpose chatbot, PatientGPT is designed to operate within a healthcare organisation’s environment and use relevant information from the patient’s medical record. This helps make its responses and care-navigation process more specific to the patient’s existing healthcare relationship.

PatientGPT also functions as a digital entry point into a health system’s services. It can help patients understand where to seek care and connect them with appropriate clinical services when a consultation is needed. Depending on the partner’s configuration, the experience can support movement from an initial question to a virtual appointment or another appropriate care pathway. The intention is to make it easier for patients to access healthcare without having to navigate multiple disconnected websites, phone numbers, and service directories.

Dynamic Intake is the platform’s conversational patient-intake component. It uses adaptive AI conversations to collect information before a medical appointment. Rather than relying entirely on static forms, the system can ask questions based on the patient’s responses and gather relevant background information. This may include symptoms, medical history, current concerns, and other details needed to prepare for the consultation.

The information collected through Dynamic Intake can be connected to the health system’s EHR. This gives clinical teams access to patient-provided information before the appointment begins and can reduce the need to collect the same details repeatedly. It is designed to support both virtual and in-person care, making it useful for organisations that want a consistent intake process across different appointment types.

KMED is a provider-facing clinical AI tool. It brings together information collected during patient intake and relevant data from the electronic health record into a consolidated view for clinicians. The system is designed to help providers review patient information and access evidence-based diagnostic recommendations during the clinical workflow.

By bringing different sources of information together, KMED can help clinicians prepare for consultations and consider relevant clinical possibilities. It is intended to support professional decision-making rather than independently replace a clinician’s assessment. Healthcare professionals remain responsible for interpreting patient information, deciding which recommendations are appropriate, and determining the next steps in care.

Perfect Note focuses on clinical documentation. It automatically prepares a structured draft clinical note using information from patient intake, ambient audio transcription, and treatment plans. This can reduce the administrative work involved in documenting consultations and help clinicians spend more time engaging with patients.

The system is designed to organise information into a more complete clinical note rather than simply producing an unstructured transcript. Its use of intake information and consultation audio can help bring together details gathered at different stages of a visit. The resulting draft is intended for clinical review, allowing providers to check the information and make any necessary corrections before finalising the documentation.

K Health’s broader clinical AI platform is designed to coordinate patient-facing and provider-facing agents through a shared orchestration layer. This approach allows different AI components to work together while remaining subject to the operational policies and safeguards established by each healthcare partner. Health systems can use the platform within their own service environments rather than relying on a single consumer application shared by every organisation.

A central part of this model is integration with electronic health records. K Health describes its platform as connecting directly with EHR systems so that patient interactions and clinical workflows can use relevant medical-record information. This is important because healthcare organisations already maintain patient records, appointment systems, and clinical processes in established software environments. Integrating AI into those systems can help reduce fragmented workflows and unnecessary duplication of information.

K Health also provides virtual care technology through its health-system partners. These arrangements can give patients access to primary care outside traditional office hours, including support for acute, chronic, and preventive health needs. The company describes 24/7 access to board-certified doctors through participating health systems. The exact services, eligibility requirements, appointment options, and availability depend on the partner delivering the care.

The company is also expanding its virtual care model into specialty services. Its current website identifies areas such as endocrinology and dermatology as part of this expansion. This allows partner organisations to extend their virtual care capacity beyond general primary care and provide additional specialist access through connected services. The scope of each specialty programme depends on the healthcare organisation and the clinicians participating in it.

K Health has established partnerships with major healthcare organisations, including Mass General Brigham, Mayo Clinic, Northwell Health, Hartford HealthCare, Cedars-Sinai, Hackensack Meridian Health, Penn Medicine, Novant Health, Atlantic Health, and UVA Health. These partnerships demonstrate the company’s focus on working with established healthcare providers rather than operating solely as a direct-to-consumer medical service. The specific products and services deployed differ between partners.

For example, Atlantic Health announced the launch of Atlantic Health PatientGPT in August 2026. The service is designed to help patients obtain personalised health guidance and connect with Atlantic Health clinicians when appropriate. The partnership also includes virtual primary care. Atlantic Health’s implementation illustrates how K Health’s technology can be incorporated into a health system’s own patient experience.

K Health’s collaboration with other healthcare organisations has also involved virtual primary care and AI-supported patient intake. These arrangements allow health systems to combine their existing clinical teams and facilities with K Health’s technology. Patients access services through the participating organisation, while the health system retains responsibility for the clinical care it provides.

The company’s platform is particularly relevant to healthcare organisations dealing with high patient volumes, administrative workloads, and fragmented access to care. Automated intake can help collect information before an appointment, provider-facing tools can organise that information, and automated note drafting can support documentation. PatientGPT adds a patient-facing layer that helps people interact with their health system and understand how to access its services.

There are important limitations to consider. K Health’s current enterprise platform is not a general-purpose AI assistant that individuals can simply download and use independently. Access depends on participating healthcare organisations and their specific implementations. The company also does not publish a universal list of supported EHR configurations, deployment options, or technical requirements for every partner. Organisations considering the platform need to confirm these details directly.

Clinical oversight is another essential consideration. AI-generated health guidance, diagnostic recommendations, and draft notes should operate within appropriate clinical governance processes. PatientGPT is designed to support patient engagement, while KMED and Perfect Note assist clinicians with information and documentation. These tools do not remove the need for qualified professionals to assess patients, verify information, and make clinical decisions.

K Health’s transition away from its standalone consumer platform also matters when evaluating the company. Former users of the discontinued service are directed to healthcare partners and other care resources, while medical-record access is handled through the company’s transition arrangements. The current business should therefore be understood as an enterprise clinical AI and virtual-care technology provider.

Pricing

K Health does not publish standard prices for its current enterprise clinical AI platform. Its technology is offered through partnerships with healthcare organisations, and commercial arrangements are handled through direct business discussions. The cost for a participating health system may depend on the products selected, implementation requirements, integration work, and the scale of deployment.

The former consumer platform had paid membership and visit-based services, but those prices should not be presented as current pricing because the standalone platform was discontinued on December 31, 2025.

Review

K Health has developed a focused clinical AI platform for healthcare organisations that want to connect patient engagement with provider workflows. Its strongest feature is the combination of patient-facing tools, clinical information organisation, and automated documentation within one coordinated system.

PatientGPT and Dynamic Intake address the early stages of a healthcare visit, while KMED and Perfect Note support clinicians during preparation and documentation. This division of responsibilities gives the platform a practical structure for health systems looking to introduce AI across several parts of the patient journey.

Its partnerships with established healthcare organisations are another advantage. They provide real-world deployment environments and allow the technology to be incorporated into existing care services. The emphasis on EHR connectivity is also valuable because it helps position the platform within existing healthcare infrastructure instead of requiring every organisation to replace its systems.

However, K Health is not currently a straightforward self-service product for individual consumers. Its enterprise focus means access depends on a participating health system, and prospective organisations must discuss pricing, integrations, implementation, and clinical governance directly with the company. Public technical documentation and standard pricing information are also limited.

The discontinuation of the standalone consumer platform is an important distinction for anyone researching older K Health reviews or pricing pages. Those materials may describe services and membership options that are no longer available in their previous form.

K Health is most relevant to hospitals and healthcare organisations exploring AI-supported patient intake, virtual primary care, clinical workflow assistance, and automated documentation. Its potential value lies in connecting these capabilities with existing clinical services, while its success depends on careful integration, professional oversight, and the needs of each healthcare partner.