Data foundation
Your healthcare data foundation
Clinical, claims and operational data in one governed place, with core systems left in place.
Powers Population health, quality reporting and six more use cases
Read more ›How we help
Our engineers work inside your care teams.
AI workflow
Referral intake
An AI agent reads each referral, checks eligibility and sets up the patient record for your intake team to confirm.
Data it needs Works with the systems you run today
Read more ›Every workflow gets stronger on a data foundation.
Why now
Health data has to move, and the teams using it are already stretched.
Rules
Data has to move
Interoperability and prior authorization rules now set deadlines for sharing health data.
People
Clinicians and caregivers are stretched
Paperwork takes time away from patients, in the hospital and at home.
Data
AI needs trusted data
AI pilots stall when patient data sits in separate systems.
Client results
Healthcare work in production and in delivery.
Home care, data foundation
One governed foundation for a home care provider
Caregiver, patient, payroll and billing data brought together on Snowflake.
6+systems connected
Health system, data foundation
A health system readying its apps and data for AI
Applications and data brought together on Azure and Microsoft Fabric.
Livedata foundation on Microsoft Fabric
Medtech, connected devices
Connected devices and data for a medtech maker
Device software and data modernized so every device feeds one platform.
24/7device data streamed to one platform
Questions
What healthcare leaders ask us.
Do we need a data foundation before we start on AI?
It depends on the workflow. Some, like referral intake, start on the systems you run today. Analytics such as Patient 360 and population health need the foundation. The Data Readiness Assessment shows which path fits your organization.
How do you protect patient data?
Every platform we build is designed and run to HIPAA requirements, with PHI encryption, access limited to what each role needs, de-identification where needed and audit logging. Parkar is SOC 2 Type II and ISO 27001 certified.
Do you work with our existing EHR and clinical systems?
Yes. We connect to existing systems through FHIR, HL7v2, X12 and DICOM, and open older applications to AI through adapters, with no changes to the systems themselves.
Do we have to move to the cloud?
No. We build on-premises or in the cloud. Open models can run on your own infrastructure where PHI has to stay inside your walls.
How do AI agents stay safe in clinical and regulated work?
Each agent has its own identity and permissions, works only on approved data, and is tested before release. A person approves anything that affects a patient, a claim or a regulatory record.
Get started
Start with where your data stands.
4 minutes
AI Readiness Diagnostic
Ten questions about your data, systems and teams. You get a score and a clear place to start.
Take the AI Readiness DiagnosticDownload a sample report ›2 to 3 weeks
Data Readiness Assessment
Our data engineers score your clinical, operational and financial data and give you a ranked plan for the first projects.
Book a Data Readiness AssessmentDownload a sample report ›5 days
AI Use Case Prioritization
Your AI ideas scored and ranked, with the right agent, model and size for each.
Book AI Use Case PrioritizationDownload a sample report ›