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Muhammad Rafiq

About me

I pursued my career in data science after completing my medical degree (MD) and MBA in healthcare management from SDA Bocconi School of Management in Milan, Italy (MIHMEP). I am passionate about advanced statistics and machine learning applications in healthcare, I have developed a unique hybrid background that combines both clinical medicine and data science. I have spent the past several years immersing myself in big data and machine learning applications in healthcare and my goal is to contribute to the design, development, implementation, and adoption of artificial intelligence applications in healthcare.

Research description

My PhD project aims to develop a predictive decision support model for physicians to improve the management of clinical processes for patients with the multiple chronic condition of concurrent cardiovascular/chronic kidney diseases and diabetes by deploying machine learning algorithms. I have developed a proof-of-concept model to predict hospital readmissions which will be further developed into a decision support system to enable physicians to more proactively manage these complex patients. The model was developed using a large data set obtained from the hospital electronic medical records and the national/regional patient registries (VAL Database). Given the failings of many AI initiatives to move beyond proof-of-concept models, I have led an experience-based co-design study at Danderyds Hospital to identify and understand the needs and preferences of physicians and managers actively involved in treating these patients.

Education

I have been highly engaged in the doctoral student development program at Karolinska Institute and taught and supervised master students. I have taught on health informatics, predictive analytics as well as on Statistical Process Control analysis, systematic literature reviews, agile project management, and business intelligence in healthcare at master’s level courses at Karolinska Institute.

Academic honours, awards and prizes

Competitive Scholarship for MIHMEP at Bocconi University, Milan, Italy.