Ceety Systems

Industries

Healthcare software and AI

From independent practices and digital health startups building HIPAA-ready products to hospitals, research centers and payers, we build software, integrations and AI that fit clinical work and stay audit-ready.
Clinicians and administrators walking together through a hospital corridor
01

Who we help

Healthcare organizations at every stage, from a startup shipping its first HIPAA-ready product to a health system modernizing the systems around its electronic health record (EHR).

  • Clinics and wellness practices that want booking, reminders and follow-up built and run for them
  • Independent practices and clinics, including specialty, behavioral health and dental
  • Digital health startups building HIPAA-ready products and preparing for hospital security reviews
  • Multi-site groups, management services organizations, ambulatory surgery centers, labs and imaging centers
  • Hospitals and health systems running Epic, Oracle Health or other enterprise EHRs
  • Research centers managing study data, consent and de-identification
  • Payers and health plans building Fast Healthcare Interoperability Resources (FHIR) APIs for the Centers for Medicare & Medicaid Services (CMS) interoperability and prior authorization rule
02

Outcomes

What changes when the work is done well. We agree the measures with you during discovery and report against them.

  • Less manual work at the front desk: intake, scheduling and referrals that write back to the chart
  • Cleaner prior authorizations and referrals, with staff reviewing requests rather than retyping them
  • Clinical documentation support that clinicians review and sign, with a clear record of what the AI produced
  • Data you can report from: quality, operations and revenue cycle in one governed place
  • A security posture your customers, partners and auditors can review, with evidence to back it
03

What we do

Our five practices applied to healthcare: product, platforms, AI, cloud and data, each built with HIPAA controls from the first release.

What this covers

  • Patient and staff apps: portals, mobile apps, intake and e-forms, telehealth and secure messaging
  • EHR and practice management integration over HL7 v2 and FHIR APIs, extending the system you already run
  • AI agents for patient access and scheduling that ask a person to approve anything consequential
  • Ambient AI clinical documentation, governed: clinician review, audit trails and clear rules for patient data
  • Document AI that reads faxes, referrals and forms, files them to the right chart and flags what is missing
  • HIPAA-ready cloud foundations on AWS, Azure or Google Cloud, and data platforms for analytics and research

Compliance and security

  • Protected health information (PHI) kept out of AI prompts and logs unless the design needs it, and controlled when it does
  • Every AI-assisted action logged: what it saw, what it did and who approved it
  • Agents evaluated and traced before go-live and monitored after it
04

Example use cases

Typical projects, from a startup's first release to a program across a health system.

  • Glory Regenerative Center (regenerative medicine clinic, 3 offices): a patient-focused site with services, locations and consultations; campaign funnels and a paid-voucher checkout; the Ceety Platform with lead analytics, Facebook lead ads, reviews and reminders; Ceety SEO; moved off GoHighLevel
  • Digital intake: patients complete forms and photograph insurance cards on their phone, and the data writes to the practice management system
  • Scheduling agent: an AI agent offers slots against provider and visit-type rules, and staff approve bookings the rules flag
  • Prior authorization support: clinical documentation and payer requirements gathered into a clean request for staff review
  • Payer APIs: Patient Access, Provider Access, Payer-to-Payer and Prior Authorization APIs built for the CMS-0057-F requirements that apply from January 2027
  • Fax and referral intake: document AI classifies incoming documents, matches the patient and routes each one to the right queue
  • Startup readiness: HIPAA and SOC 2 controls, audit logging and security documentation before a first health system customer
  • Research data: a de-identified data platform with consent tracking and access reviews
05

Integrations

We connect to the systems you already run, using open standards wherever the vendor supports them.

  • EHR and practice management: Epic, Oracle Health, athenahealth, eClinicalWorks, NextGen, Tebra and others
  • Standards: HL7 v2, FHIR, X12 for eligibility and claims, and DICOM for imaging
  • Health information exchange: TEFCA (the Trusted Exchange Framework and Common Agreement) through qualified networks, and regional exchanges
  • Clearinghouses and payers: Availity, Waystar and direct payer APIs
  • Business systems: Salesforce Health Cloud, HubSpot, contact center platforms, payments, and ERP such as NetSuite or Workday
06

Compliance and security

HIPAA controls are part of the design, not a checklist at the end. We build to the rules and hand over evidence your auditor can use.

  • Built to the HIPAA Security and Privacy Rules: encryption in transit and at rest, least-privilege access, and logs of who viewed or changed what
  • We sign a Business Associate Agreement for engagements that involve protected health information.
  • SOC 2 and ISO 27001 readiness for digital health companies: controls, policies and evidence, working alongside your auditor
  • AI governance aligned with the NIST AI Risk Management Framework, with people making clinical and coverage decisions
  • Identity: single sign-on, passkeys and phishing-resistant multi-factor authentication for staff
  • We deploy in the regions your obligations require — including the US and EU — on AWS, Azure or Google Cloud.
  • Recovery: tested backups, recovery plans and incident response playbooks
07

How we work

Small, reviewable steps, with security and evidence built in from the first sprint rather than added at the end.

  • Discover: short workshops to map goals, systems, data and the workflows staff actually follow
  • Blueprint: architecture, controls and a release plan, with early wins identified up front
  • Build: phased releases, each tested, documented and reviewed with your clinical and operations teams
  • Run: monitoring, maintenance and improvement after go-live, with compliance evidence kept current
08

Timeline

One model for every engagement. Dates are estimates we confirm after discovery, not promises.

  • Discover: typically 1–2 weeks
  • First working release: typically within 6–10 weeks
  • Larger programs continue in phased releases; a full platform go-live is typically about 90 days
  • After go-live: ongoing support and improvement, if you want it
09

Engagement options

Three ways to work with us. Start with the one that fits and move to the next when it makes sense.

  • Assess: a fixed-scope HIPAA readiness or architecture assessment, with a prioritized plan you can act on with or without us
  • Build: a delivery program in phased releases, from a first product or integration to a multi-site rollout
  • Run: ongoing support and improvement after go-live, including monitoring, maintenance and updates as systems and rules change
10

FAQs

Straight answers to the questions healthcare teams ask us most.

Will this replace our EHR?
No. We integrate with your EHR and practice management system and improve the work around them. Replacing a core system is a separate decision, and we will say so if we think it is warranted.
Is what you build HIPAA-compliant?
We build to the HIPAA Security and Privacy Rules and sign a Business Associate Agreement for engagements that involve protected health information. Compliance also depends on your own policies and operations, so we document the controls and hand over evidence your auditor can use.
Can AI agents act on their own with patients?
Only within limits you set. Agents handle routine steps such as offering appointment slots, anything consequential goes to a person for approval, and every action is logged.
Can you help a digital health startup get through hospital security reviews?
Usually, depending on where you are starting. We put HIPAA and SOC 2 controls, policies and evidence in place so you can answer security questionnaires with facts. The customer and your auditor make the final call.
Can you help payers meet the CMS prior authorization API requirements?
Yes, for payers building the required FHIR APIs, though the approach depends on your current platform and vendors. We start with a gap assessment against the rule and plan the build around the January 2027 dates.
How long does a first release take?
Discovery typically takes 1–2 weeks, and a first working release typically follows within 6–10 weeks, depending on integrations and scope. We confirm the estimate after discovery.
Can we start small?
Yes, and we usually recommend it: one clinic, one workflow or one integration, then expand once it works for your staff.

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Planning a healthcare product or integration?

Tell us what you are building or modernizing. We will tell you plainly what it takes to do it securely and audit-ready.

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