Healthcare - Issue 13

Healthcare - Issue 13


  1. LOCAL & REGIONAL ADVANCEMENTS

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a. AUBMC's Pathology Department excels again

The Department of Pathology and Laboratory Medicine at the American University of Beirut Medical Center (AUBMC) has been reaccredited by the College of American Pathologists (CAP). This recognition, following a recent on-site inspection, highlights the department's commitment to maintaining high standards in laboratory medicine since first receiving CAP accreditation in 2004. Dr. Zaatari, chair of the department, emphasized their dedication to quality care and continuous improvement.


Why it's important: This reaccreditation sets AUBMC’s leadership in healthcare excellence and patient safety as an example to the Lebanese medical community. Maintaining CAP accreditation ensures that AUBMC continues to meet rigorous international standards, fostering trust in their healthcare services.

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b. Saudi Arabia embraces AI and virtual care for healthcare transformation?

Saudi Arabia is leading a healthcare transformation by integrating AI and virtual care solutions to address workforce shortages and enhance patient care. According to the Future Health Index 2023 report by Philips, Saudi healthcare leaders are prioritizing digital health technologies and AI to improve diagnostics, remote patient monitoring, and overall healthcare delivery. The focus on AI and virtual care also aligns with Saudi Arabia's Vision 2030 to modernize the healthcare system and improve access to healthcare services.

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Why it’s important: By adopting similar AI and virtual care solutions, medical institutions in the region can ensure sustainable, high-quality care. In turn, this would enhance their diagnostic capabilities, improve patient outcomes, and reduce the pressure on healthcare staff.

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2. INTERNATIONAL ADVANCEMENTS

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AI Innovations elevating Biopsy analysis and disease prediction

?Artificial intelligence (AI) is revolutionizing healthcare by enhancing patient care, speeding up diagnoses, and predicting disease progression. At Stanford Hospital, an AI model predicts patient deterioration, alerting physicians and nurses to intervene before conditions worsen, reducing deterioration events by 10.4%. Researchers at the University of Cambridge developed an AI tool predicting Alzheimer's disease progression with up to 82% accuracy using cognitive tests and MRI scans. Additionally, AI-powered diagnostic tools are currently being used to improve biopsy analysis in breast cancer.


Why it’s important: These AI advancements are crucial for improving efficiency in an evolving healthcare setting. The ability to predict and prevent patient deterioration and accurately diagnose diseases early on enhances the quality of healthcare, optimizes resource use, and ultimately saves lives.

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