Introduction

The healthcare sector is undergoing a transformative shift, driven by the rapid advancement of artificial intelligence (AI). Nowhere is this change more impactful than in cardiology and oncology, two fields characterized by complexity and high stakes. Managing cancer and cardiovascular diseases requires navigating evolving clinical evidence, diagnostic protocols, and treatment options—a task increasingly challenging for clinicians. AI-powered Clinical Decision Support Systems (CDSS) offer a promising solution, augmenting decision-making processes to improve patient outcomes. Glance Care’s partnership with Saudi NTDP exemplifies how innovation can address these challenges while positioning Saudi Arabia as a global leader in digital health.

Why AI-Powered CDSS for Cardiology and Oncology?

Cardiology and oncology present unique challenges that demand precision, speed, and integration of diverse data sources. These specialties require high-stakes, time-sensitive decisions, often involving complex data from labs, imaging studies, and electronic health records (EHRs).

Key Challenges:

• Financial Impact: Saudi Arabia spends $3.7 billion annually on cardiac disorders, while the average cost per case in the U.S. reaches $30,000. A single breast cancer case can cost the Saudi government over SAR 300,000.

• Resource Scarcity: In the U.S., there are only 4 cardiologists and 8 oncologists per 100,000 inhabitants — a ratio even lower in Saudi Arabia.

• Diagnostic Errors: A systemic review found that non-small cell lung cancer recognition errors account for 25% of missed lesions, while decision-making errors contribute to 45% of management failures.

How AI Helps:

• Faster Differential Diagnosis: AI accelerates the identification of potential conditions based on integrated patient data.

• Evidence-Based Recommendations: Systems provide staging and treatment suggestions grounded in clinical guidelines.

• Unified Patient Data Views: Harmonizing data from multiple sources ensures clinicians can make informed decisions quickly.

Inside Glance Care’s R&D Methodology

Glance Care’s CDSS development methodology emphasizes rigorous medical research and technological innovation to ensure credibility and effectiveness.

Key Components:

1. Data Architect Design: Structuring medical concepts and relationships for inference processes.

2. Medical Literature Study: Leveraging peer-reviewed research to inform algorithms.

3. CPG Recommendations Normalization: Standardizing clinical practice guidelines for consistent application.

4. Medical Concepts Normalization Engine: Ensuring terminology harmonization across datasets.

5. Clinical Reasoning Engine: Simulating expert-level decision-making processes.

6. Contextualization & Rationalization: Tailoring recommendations to individual patient contexts.

7. Validation System: Incorporating inclusion/exclusion criteria to enhance accuracy.

Glance CDSS for Cardiology and Oncology: Proof of Concept

Glance Care’s CDSS demonstrates tangible value through its innovative components:

System Features:

• Differential Diagnosis Engine: Speeds up identification of probable conditions.

• Data Normalization Engine: Harmonizes disparate datasets for coherent analysis.

• Medical Staging & Risk Stratification: Provides personalized risk assessments.

• AI-Based Recommendations: Offers evidence-backed suggestions for labs, imaging studies, procedures, and medications.

These features work together to streamline workflows, reduce diagnostic errors, and improve patient outcomes.

This innovation is made possible through Glance Care’s strategic collaboration with Saudi NTDP as part of a national initiative to advance AI in healthcare. This partnership underscores Saudi Arabia’s commitment to becoming a global leader in digital health solutions while addressing critical gaps in care delivery.