Diagnostics and Disease
Prevention

AI can reduce diagnostic errors by 30-40%*, leading to improved patient outcomes.

Business Opportunity:

  • Leverage predictive analytics to identify high-risk patients and prevent disease outbreaks
  • Reduce diagnostic errors and improving patient outcomes
  • Stay competitive and maintain a strong market presence

Predictive Analytics for Disease Prevention

AI algorithms analyze historical patient data to predict future health outcomes, empowering healthcare providers to take proactive measures in disease prevention.

  • Predicting Hospital Readmissions: AI algorithms identify patients at risk of hospital readmissions, enabling healthcare providers to implement preventive measures and reduce readmission rates.
  • Identifying Chronic Disease Risk: AI-powered analytics identify patients at risk of developing chronic diseases, allowing healthcare providers to develop personalized treatment plans and prevent disease progression.
  • Forecasting Disease Outbreaks: AI algorithms forecast disease outbreaks, enabling healthcare providers to take proactive measures in containment and prevention.

Novo Genomics - Saudi Arabia

Novo Genomics is laying the foundations for personalized medicine in Saudi Arabia, with cutting-edge sequencing using the Lenovo portfolio.

Ministry of Healthcare - The Republic of Kazakhstan

See how the ministry of healthcare is helping accelerate breast cancer screening at 120 hospitals in Kazakhstan, using hyperconverged infrastructure solution powered by Lenovo.