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Accelerating Healthcare Innovation Securely and Scalably

DT Health AI empowers hospitals, research institutions, and life sciences organizations with AI, data analytics, and cybersecurity solutions. We help you innovate with confidence, protect patient trust, and stay compliant with healthcare regulations.

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About Us

Secure Innovation for the Future of Healthcare

DT Health AI delivers specialized IT and cybersecurity solutions designed for healthcare organizations navigating the complexities of healthcare innovation. Our mission is to empower academic medical centers, research hospitals, and life sciences organizations with the infrastructure and intelligence needed to drive discovery securely and compliantly.

Our Core Services

Transform raw clinical, genomic, and imaging data into actionable intelligence—securely and compliantly.

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AI/ML/DL Consulting

DT Health AI help organizations design and deploy AI, Machine Learning, and Deep Learning solutions tailored to their business needs. Our services cover the full model lifecycle from data preparation and model development to deployment and monitoring. We specialize in integrating AI into enterprise systems and building scalable pipelines using tools like TensorFlow, PyTorch, and Scikit-learn. For sensitive domains such as healthcare, we also support federated learning and privacy-preserving AI to ensure secure, compliant innovation.

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Healthcare Data Analysis, ETL Pipelines, Interoperability, and Integration Services

DT Health AI specialize in healthcare data transformation, with solid experience in ETL pipeline development, OMOP CDM standardization, and real-world data analytics. Our team supports privacy-preserving machine learning through federated learning frameworks tailored for clinical, genomic, imaging, and video datasets. We ensure full compliance with HIPAA and other regulations using secure, de-identified data workflows. From EHRs to biobank data, we help organizations unlock insights while maintaining the highest standards of data privacy and integrity.

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Cybersecurity for Healthcare

DT Health AI delivers specialized cybersecurity consulting services tailored to the unique challenges of healthcare environments. From hospitals and research institutions to pharmaceuticals and digital health platforms, we help safeguard sensitive clinical, operational, and patient data against evolving cyber threats. Our offerings include comprehensive Vulnerability Assessments and Penetration Testing (VAPT), designed to proactively identify and remediate security gaps across healthcare IT ecosystems. We integrate and optimize leading platforms for Security Information and Event Management (SIEM), Extended Detection and Response (XDR), and Security Orchestration, Automation, and Response (SOAR) enabling real-time threat detection, automated incident response, and continuous monitoring. Our ethical hacking methodologies are continuously refined to reflect the latest threat intelligence and regulatory requirements, including HIPAA. We deploy centralized security architectures that support scalable, compliant, and resilient operations empowering healthcare organizations to maintain trust, ensure uptime, and protect patient safety.

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Identity and Access Management (IAM) Consulting for Healthcare Organizations

DT Health AI delivers comprehensive identity security solutions tailored to the operational and regulatory demands of healthcare environments. Our consulting practice focuses on Privileged Access Management (PAM) and Identity and Access Management (IAM), ensuring that clinical systems, research platforms, and administrative networks remain secure, compliant, and user-friendly. We leverage industry-leading platforms including Delinea, Keycloak, CyberArk, BeyondTrust, and Okta to streamline identity governance across complex healthcare ecosystems. Our implementations of Single Sign-On (SSO) using SAML and OIDC protocols reduce login friction for hospitals, clinicians and researchers while strengthening authentication and access controls. From strategic planning and architecture design to integration, testing, and post-deployment evaluation, DT Health AI supports the full lifecycle of IAM/PAM initiatives. We specialize in scalable solutions for hospitals, research institutions, and small-to-midsize healthcare enterprises helping organizations protect sensitive data, meet compliance standards like HIPAA, and maintain operational integrity.

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Cloud Infrastructure & Managed Services for Healthcare (Cloud-Agnostic)

DT Health AI delivers cloud-agnostic infrastructure and managed services tailored to the evolving needs of healthcare organizations and research institutions. Our hosting environments support a wide range of mission-critical applications from electronic health records (EHRs) and clinical decision support systems to AI-powered research platforms—across leading cloud providers including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This flexibility enables healthcare clients to optimize performance, cost, and compliance while avoiding vendor lock-in. Our managed services encompass secure hosting, automated backups, disaster recovery planning, and performance optimization all aligned with healthcare-specific regulatory frameworks such as HIPAA and GDPR. We bring deep expertise in Kubernetes orchestration to automate deployment, scaling, and management of containerized healthcare workloads, ensuring high availability and operational efficiency. Our solutions also address data residency requirements, enabling organizations to maintain jurisdictional compliance across borders and institutions. We also implement CI/CD pipelines tailored for healthcare environments, enabling rapid, secure, and compliant delivery of application updates and research tools with minimal disruption to clinical workflows. For healthcare systems with existing on-prem infrastructure, DT Health AI supports seamless hybrid integration strategies. We design and implement secure bridges between legacy systems and cloud-native environments, allowing clients to modernize without disrupting clinical workflows or research continuity. With proactive monitoring, patch management, and resource scaling, we ensure that healthcare organizations can innovate confidently while maintaining resilience, security, and trust.

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Our Goals

Our Goals in Healthcare Innovation

At DT Health AI, we partner with healthcare organizations, research institutions, and pharmaceutical enterprises committed to data-driven innovation. Our goal is to deliver secure, compliant, and impactful solutions in AI, machine learning, deep learning, federated learning, healthcare analytics, and cybersecurity.

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Partnership Focus

Emphasize collaboration and trust.

DT Health AI actively seeks strategic partnerships with organizations driving data-centric innovation in healthcare, pharmaceuticals, and life sciences. We empower hospitals, research institutions, and digital health platforms with scalable, secure, and compliant solutions in AI, federated learning, analytics, and cybersecurity.

Approach & Values

We thrive on cross-functional collaboration with healthcare teams that value precision, security, and strategic alignment. Our tailored support spans clinical analytics, infrastructure modernization, and privacy-preserving AI deployment. Our approach is rooted in transparency, adaptability, and measurable impact ensuring every initiative delivers real-world value.

Book A Consultation
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Integrity

We act with honesty and transparency in every decision. Trust is the foundation of everything we build.

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Innovation

We push boundaries to create smart, secure solutions. Innovation drives better, data-powered healthcare.

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Security

We prioritize security at every layer from data protection to infrastructure design ensuring compliance, reliability.

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Collaboration

We grow through teamwork and shared goals.Together, we turn challenges into progress

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Our Projects in Healthcare

Advanced AI and data science capabilities tailored for complex healthcare environment.

Developed Models

Federated learning models for privacy-preserving training across decentralized datasets

NLP-driven models for unstructured clinical notes and research document classification

Dataset Size & Format

Structured datasets exceeding over a million patient records

Data types include tabular (CSV/Parquet), clinical text (JSON/XML), genomic sequences (FASTA/VCF), and imaging data (DICOM)

Datasets Used

Clinical data from electronic health records (EHRs) standardized to the OMOP Common Data Model

Genomic and imaging datasets processed through secure, de-identified workflows

Infrastructure and Compliance

Hosted in secure, HIPAA-compliant environments.

Supports integration with TensorFlow, PyTorch, Scikit-learn, and federated learning frameworks like Flowe

Get in touch for any query

We’re here to help

Call Us

+1 514-912-9490
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