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HaithamAI – Value Proposition

HaithamAI is purpose-built for hospitals, diagnostic imaging centers, and national healthcare clusters that are struggling with radiologist burnout, clinical inefficiencies, and outdated imaging workflows.

Our product is a cloud-native, AI-powered radiology workflow system designed to streamline diagnostics, reduce clinical errors, improve operational efficiency, and enhance patient safety.

Unlike traditional legacy systems, HaithamAI is fully interoperable, Saudi-customised, and AI-integrated. It is faster to deploy, more cost-efficient, and aligned with Saudi Arabia’s Vision 2030 goals for healthcare transformation.

The Radiology Challenge in Saudi Arabia

Radiologists and hospital IT leaders across Saudi Arabia are overwhelmed by fragmented, outdated radiology systems. These legacy systems increase clinical risk, delay diagnosis, and contribute to radiologist burnout—ultimately threatening both patient outcomes and national healthcare goals under Vision 2030.

Current State of Radiology Operations

Today, most institutions rely on traditional, server-based RIS/PACS systems such as those from Agfa, GE, or Siemens. These systems often lead to:

  • High rates of diagnostic delays, clinical errors, and staff fatigue

  • Poor interoperability and slow workflow integration

  • Rising operational costs and regulatory pressure to modernise

What Healthcare Providers Want to Achieve

Healthcare providers require a seamless, AI-supported radiology system that:

  • Accelerates diagnosis

  • Reduces burnout and error rates

  • Integrates effortlessly across departments and hospital systems

  • Enhances patient safety and throughput

  • Aligns with Saudi Vision 2030 digital health transformation

What HaithamAI Offers

Core Capabilities

  • AI-driven triage and prioritisation

  • Seamless RIS/PACS integration

  • Real-time analytics and reporting

  • Cloud-native infrastructure for easy deployment and scalability

  • Interoperability with national e-health and cluster systems

Emotional Drivers

  • Relief from overwhelming workloads and system limitations

  • Confidence in delivering faster, more accurate care

  • Professional pride in using cutting-edge tools

  • Trust in a locally compliant and tailored solution

External Pressures

  • Pressure to meet Vision 2030 digital health mandates

  • Desire to lead national or regional healthcare transformation

  • Influence of peers, regulators, or public benchmarking

  • Hospital board expectations for digital innovation

Barriers to Change

Despite the clear need for transformation, healthcare institutions often face:

  • Fear of operational disruption during system migration

  • Internal IT pushback or legacy vendor lock-in

  • Budget constraints or procurement complexity

  • Lack of trust in new/local vendors vs global players

  • Perceived risk of unproven AI performance in clinical workflows

How HaithamAI Removes These Barriers

HaithamAI addresses these concerns by:

  • Offering cloud-native deployment with minimal disruption

  • Providing Saudi-specific compliance and support for local interoperability standards

  • Starting with pilot deployments in early adopter hospitals, de-risking full adoption

  • Delivering AI explainability and clinician oversight tools to build trust

  • Backing the solution with a Saudi-British radiologist and expert team to reinforce scientific and regional credibility