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AI-enabled virtual primary care

K Health

K Health is queued as an AI-enabled virtual primary care platform delivered through health-system partners. K Health discontinued its direct-to-consumer platform on December 31, 2025 and says all consumer accounts were deleted after the shutdown, so patients now encounter K Health mainly through white-labeled partner deployments. The CAIHL review should examine AI intake, AI Physician Mode, clinician review, patient notice, routing, data reuse, validation evidence, and whether patients can understand or challenge AI-shaped recommendations.

Draft profile Open directory

Public-source research has been drafted; final human publication review and change-log detail are still required.

46 /100 toward patient-directed
Agency posture Mixed, institution-led
The question we ask Who does K Health serve in this deployment?
Control Institutional or clinician-mediated use with patient impact
Agency read May help care, but must be tested for visibility, consent, correction, and institutional priority drift.
Vendor
K Health, Inc.
Who it serves
Institutional, patient-facing virtual care AI
Primary User
Patients, clinicians, health systems, and virtual primary care operations
Control Model
Vendor and health-system controlled
Patient Impact
AI intake, symptom triage, medical-record context retrieval, diagnosis/treatment plan preparation, clinician review, and virtual primary care routing
Profile Status
Draft profile
Last Reviewed
Jun 12, 2026
Review Confidence
Low draft, partial public-source check

Summary judgment · 46% toward patient-directed

Mixed, institution-led

K Health appears patient-facing but deeply integrated into health-system virtual primary care workflows, so patient agency depends on visibility, routing, clinician review, and challenge rights.

Patient agency

How this tool changes agency

Expands agency when

Virtual care access and health guidance may support action, but the tool is not clearly patient-controlled.

Limits agency when

Needs review of enrollment, alternatives, AI intake refusal, and health-system routing.

Patient-facing signals

Who does this AI serve?

Institutional / patient-facing

Public materials emphasize health-system virtual primary care access, clinical workflows, and provider support.

Can patients tell AI is involved?

Partially documented

Partner services carry public K Health branding in transition materials, but whether patients are told AI conducts intake or drafts their chart inside the visit flow needs hands-on review.

Can patients meaningfully choose?

Not researched

Needs review of enrollment, alternatives, AI intake refusal, and health-system routing.

Can patients correct or challenge what the AI produces?

Not researched

Needs review of intake, medical-record context, AI recommendation correction, clinician handoff, and dispute routes.

Does it help patients understand or act?

Potentially

Virtual care access and health guidance may support action, but the tool is not clearly patient-controlled.

Text findings

Who is left out or burdened?

Partially documented

Access is now limited to health-system partner footprints. The December 2025 direct-to-consumer shutdown deleted consumer accounts and redirected former patients to partner apps or outside providers, leaving patients in non-partner geographies without direct K Health access. Language, disability, and insurance dimensions still need review.

What happens to patient data?

Partially documented

K Health's app-transition FAQ says consumer app accounts were deleted after the DTC shutdown, while medical records are retained for the period required by law and can be downloaded or transferred through request forms. Partner-deployment governance, HIPAA/business associate terms, model learning, and health-system sharing still need review.

Are the clinical boundaries clear?

Partially documented

A peer-reviewed Cedars-Sinai virtual urgent-care study describes AI producing initial recommendations with physicians making final decisions. Whether clinician-final review holds across all partner workflows, including PatientGPT medical-records chat, still needs review.

Who defined what good looks like?

Partially documented

Public evidence includes vendor and clinical-partner validation, including AI Physician Mode work. The full review should separate patient outcomes from clinician productivity, wait-time, utilization, and cost measures.

Review method

Initial seed classification updated with a 2026-06-12 factual audit of official product pages, app-transition FAQ, and public AI Physician Mode evidence. No hands-on testing or full CAIHL review.

Draft profile · Low draft, partial public-source check