Healthcare IT Consulting

HIPAA-compliant AI, data, and cloud solutions for healthcare organizations. Upturn builds clinical technology that improves patient outcomes and operational efficiency.

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HIPAA

Compliant delivery

60%

Faster patient intake

4.8★

Patient satisfaction

Industry challenges

The problems Healthcare teams face

Legacy EHR integration

Modern tools can't talk to aging EHR systems — creating dangerous data gaps in clinical workflows.

HIPAA compliance complexity

Every new technology decision carries compliance risk. Most vendors don't think in PHI terms until after the contract is signed.

Staff burnout from administrative burden

Clinicians spend more time on documentation than on patients — AI can reclaim those hours.

Data fragmented across systems

Patient data sits in silos across EHR, billing, scheduling, and payer systems — limiting care coordination and analytics.

Our capabilities

Services we deliver for Healthcare

Gen AI, ML & Chatbots

Custom LLM copilots, RAG assistants, and ML models that automate decisions and delight customers.

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Data Analytics & BI

Unify your data and turn it into dashboards and forecasts leaders actually use.

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Cybersecurity & Data Protection

Zero-trust architecture, compliance, and continuous monitoring that earns customer trust.

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IT Infrastructure & Cloud

Migrate, modernize, and run resilient cloud platforms on AWS, Azure, and GCP.

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Application Development

Web, mobile, and platform builds shipped iteratively with modern engineering practices.

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Measured impact

Results we deliver for Healthcare

60%

Faster patient intake

AI-assisted triage and intake automation reduces patient wait times and staff workload.

HIPAA

100% compliant delivery

Every engagement designed and audited against HIPAA technical and administrative safeguards.

$1.2M

Annual savings per client

Average documented savings across automation and AI deployments in clinical settings.

4.8★

Patient satisfaction

Improved digital experiences and faster response times lift patient satisfaction scores.

Featured case study

HealthcareGen AI

AI triage assistant cuts patient intake time by 60%

A regional clinic network with eight locations was processing over 2,400 patient intakes per week through entirely manual workflows. Front-desk staff spent 15–20 minutes per patient on documentation, insurance verification, and triage routing — creating wait times that drove patient complaints and staff burnout.

"Upturn felt like an extension of our clinical team from week one. They shipped a working AI assistant while our previous vendor was still scoping the project."

Dana Whitfield

COO, Regional Clinic Network

FAQ

Common questions about Healthcare

How do you handle HIPAA compliance on AI projects?

Every healthcare engagement starts with a HIPAA risk analysis. We use HIPAA-eligible cloud services (AWS HIPAA-eligible, Azure Healthcare APIs), sign BAAs with all vendors, implement end-to-end encryption, audit logging, and role-based access from day one.

Can you integrate with our existing EHR?

Yes. We have experience with Epic, Cerner, athenahealth, and HL7 FHIR APIs. EHR integration complexity varies by vendor and deployment model — we assess this during discovery.

What AI use cases work best in healthcare?

Patient intake and triage automation, clinical note summarization, appointment scheduling optimization, diagnostic image analysis, and predictive readmission risk scoring are our most common healthcare AI use cases.