Firda Rahmadani鈥檚 Prediction Model Improves Diagnostic Accuracy and Decision-Making by Using Clinician Feedback听
A doctoral candidate in Management Science and Engineering from Khalifa University won the Best Paper Award for its innovative approach to addressing a critical challenge in healthcare at the International Conference on Computers and Industrial Engineering (CIE51), hosted by the University of New South Wales (UNSW) Sydney.听听
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Firda Rahmadani鈥檚 award-winning paper titled鈥�楬uman-Centered Prediction Model to Streamline Decision-Making in Sepsis Management Pathways,鈥�鈥痑ddresses Sepsis, a life-threatening condition caused by the body鈥檚 response to infection, which remains a leading cause of mortality worldwide. Her work is supervised by Dr. Mecit Can Emre Simsekler and Dr. Mohammed Omar, who collaborated with Dr. Siddiq Anwar and Dr. Ali Mohammed Al Shidi from Sheikh Shakhbout Medical City in Abu Dhabi.听
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The award-winning research paper combines machine learning, human-centered design principles, and real-world medical data to create a prediction model to optimize sepsis management. This model aims to improve diagnostic accuracy and align decision-making by incorporating clinician feedback, ensuring the human-AI system is easy to understand and integrate with existing workflows.听
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The paper was presented during a special session titled 鈥楾he Future of Education and Work in the New Digitized Society鈥�, which highlighted transformative contributions in education, healthcare, and the workforce in a digital world.听
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Dr. Simsekler said: 鈥淩ahmadani鈥檚 research captured the essence of the session鈥檚 theme by showcasing how technology can be tailored to improve human-centric outcomes in high-stakes environments. The recognition underscores the importance of interdisciplinary approaches in tackling real-world problems.鈥澨�
Clarence Michael
English Editor – Specialist
