Healthcare
Secure every healthcare interaction with trusted identity
AI-powered verification that protects patient data, ensures compliance, and delivers seamless access to healthcare services. Every identity clears independent layers of defense.
We secure identities across healthcare worldwide
AI-powered patient and provider identity verification, proven where data is most sensitive.
What healthcare organizations are up against
A new era of fraud for healthcare
Generative AI has created threats that legacy security systems cannot contain, and healthcare pays for it: 3% to 10% of total healthcare spending is lost to fraud every year (NHCAA; US Department of Homeland Security).
Medical identity theft
Stolen identities unlock treatment, prescriptions, and insurance benefits, leaving providers with the compliance risk and the bill.
Unauthorized provider access
Stolen or falsified identities let bad actors impersonate healthcare staff, reach patient records, and file fraudulent claims.
Privacy and compliance
HIPAA, GDPR, and CCPA demand strict data protection while digital health platforms keep expanding the attack surface.
Experience versus security
Patients expect instant access to care and results, and every added check risks locking out the people who need it most.
Incode solutions
Built for healthcare
Coverage across the full care lifecycle, from patient onboarding to records access, workforce logins, and every reset that follows.
Identity Verification
Document, liveness, and face checks verify patients and providers at onboarding and before records are released.
Learn moreNon-Doc Verification
A data-based check verifies patients with no ID document to scan, keeping care open to the people who need it most.
Learn moreRegulatory compliance
Global watchlist, sanctions, and PEP screening with HIPAA, GDPR, and CCPA alignment across 190+ countries.
Learn moreWorkforce verification
Verified staff and contractor access, biometric help-desk resets, and easy integration with existing IAM stacks.
Learn more99%
identity fraud prevented
5x
faster patient verification
~50%
lower onboarding costs
User experience
How it works
One identity for every care moment, verified in real time.
Why healthcare organizations choose Incode
Independent layers of defense for every patient and provider
Fraud that adapts will eventually fool any single check. Incode verifies every identity across independent layers, each reading a different signal, in milliseconds. Real patients and providers pass without friction while fraud has to beat every layer at once.
Document verification
AI-powered detection of paper forgeries, screen spoofs, and digitally generated IDs. International identity documents supported.
See it in actionBiometric liveness
Liveness detection confirms a live person is present and matches the face to the document in milliseconds.
See it in actionAI-generated document detection
Deepsight for Documents catches forged, tampered, and fully synthetic IDs, fraud that template checks and barcode validation were never built to see. 8.8x more fraud caught than document checks alone.
See it in actionPrivacy-first records access
Biometric step-up guards lab results, health records, and portal logins, with access limited to the verified patient or provider.
See it in actionRe-proof at the help desk
Staff and contractors are re-proven at password and MFA resets, cutting help-desk volumes and closing the social-engineering door.
See it in actionPrivacy is the architecture
We made privacy a founding conviction long before regulation or the market asked for it. Personal information is never sold or shared, and we collect only what care requires.
Read the ManifestoCase study
Quest Diagnostics verifies patients across MyQuest, from onboarding and lab-results access to account updates and scheduling, with a check that works even for patients with no ID to scan. One in three adult Americans rely on Quest each year.
Quest Diagnostics · Healthcare · United States
FAQ
Common questions about identity verification for healthcare
Still have questions? Talk to an expertHow does Incode prevent medical identity theft?
Medical identity theft uses a stolen identity to obtain treatment, prescriptions, or insurance benefits in someone else's name. Incode stops it by verifying a real, live patient at onboarding and re-proving them before records or benefits are released.
Is Incode HIPAA compliant for patient identity verification?
Yes. Incode aligns with HIPAA, GDPR, and CCPA: personal information is never sold or shared, data collection is minimal, and verification workflows are built for audit. Privacy by design is what makes biometric checks viable for health data.
Can patients without an ID document verify their identity?
Yes. Non-Doc Verification runs a data-based check against trusted sources instead of a document scan, keeping care open to older patients and anyone without an ID at hand. A leading US lab network uses this model across its patient portal.
How does identity verification secure the healthcare workforce?
Stolen staff credentials are how attackers reach patient records at scale. Incode verifies employees and contractors at onboarding, re-proves them at password and MFA resets, and integrates with existing IAM stacks, cutting help-desk volumes along the way.
Can a deepfake pass Incode's verification?
No. Passive liveness detection plus Deepsight block the real-time face swaps, injected camera feeds, and AI-generated documents that target patient portals and telehealth onboarding.
Does Incode replace a hospital's IAM or patient portal login?
No. Incode layers into existing IAM, EHR, and portal stacks through an API and SDKs. Incode proves the human, while your systems keep the session, roles, and authorization.
Resources
Resources on healthcare
Deepfakes 101: Examples and deepfake fraud prevention tips
A complete guide to deepfake fraud prevention: real examples, how deepfakes work, and the exact steps businesses need to reduce exposure now.
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How AI agents are fueling a record surge in fraud losses
AI-driven fraud losses hit a record high in 2025. Learn what to expect in 2026 according to Incode's Agentic Fraud Report.
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How Incode On-Device Age Estimation Remains Accurate, Secure, and Private
Learn how Incode engineered an on-device age estimation model that protects biometric data without compromising accuracy.
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