AI & Technology Solutions for Healthcare
Help clinicians do more, with less friction — and provably safe data practices.
Overview
Aadyora builds AI and data systems for healthcare organizations that need to move beyond pilots without compromising on safety, privacy, or interoperability. We work with hospital systems, health-tech startups, diagnostics labs, and life-sciences firms across India, the US, and the Middle East.
Our healthcare work spans clinical decision support, patient engagement automation, revenue cycle automation, and the underlying data infrastructure (HL7, FHIR, DICOM) that makes any of it possible.
Every engagement is designed against the regulatory frame relevant to your geography — HIPAA, India’s DPDP and DISHA, GDPR for European patients, and emerging AI-specific guidance.
What we deliver
Clinical Decision Support
AI-assisted triage, imaging analysis pre-reads, and risk scoring built with explainability and clinician-in-the-loop workflows.
Patient Engagement Automation
Multilingual AI assistants for scheduling, reminders, follow-ups, intake forms, and post-discharge care — integrated with EHR and CRM.
Revenue Cycle Automation
Document AI for claims, coding assistance, eligibility checks, and denial management — measured in cash collected, not tickets closed.
Data Interoperability
HL7 v2 and FHIR integration, DICOM pipelines, master patient index design, and consent-aware data sharing.
Compliance-Aligned Platform
HIPAA, DPDP, and DISHA-aligned cloud architecture, audit logging, BAA management, and ongoing posture monitoring.
Outcomes you can expect
- Reduced administrative burden on clinical staff
- Faster patient response times and improved engagement metrics
- Audit-ready data practices baked into the architecture
- AI features shipped with documented eval and clinician sign-off
How we engage
1. Clinical & Regulatory Discovery
Map workflows, data sources, regulatory obligations, and the specific outcomes that matter — clinical, operational, or financial.
2. Safe Prototype
Build on de-identified data first. Validate with clinicians before exposing to patients. Define evaluation criteria up front.
3. Production Deployment
Roll out with phased exposure, audit logging, and clear rollback. Monitor clinical and technical KPIs side by side.
4. Continuous Improvement
Periodic eval refreshes, drift monitoring, and clinician feedback loops keep the system safe and useful as practice evolves.
Frequently asked questions
Are your solutions HIPAA-compliant?
Yes — we build to HIPAA technical and administrative safeguards, sign BAAs where applicable, and operate in HIPAA-eligible cloud services. We also handle India-specific DPDP and DISHA requirements for domestic deployments.
Can you integrate with our existing EHR?
Yes. We have integrated with Epic, Cerner, Athenahealth, Meditech, and India-specific EHRs via HL7 v2, FHIR, and proprietary APIs. We also support DICOM workflows for imaging.
How do you handle AI safety in clinical settings?
Clinician-in-the-loop by default for any patient-impacting decision, eval suites that include adversarial cases, audit logs of every AI inference, and clear documentation of what the system can and cannot do.
Continue exploring
Ready to start?
Tell us about your problem — we’ll respond within one business day with a concrete next step.
Contact Aadyora