Rafiq Muhammad

Rafiq Muhammad

Affiliated to Research
Visiting address: Widerströmska huset, Tomtebodavägen 18A, 17165 Solna
Postal address: C7 Lärande, Informatik, Management och Etik, C7 MMC Health Systems Leadership, Management and Safety, 171 77 Stockholm
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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.
    Competitive Scholarship for MIHMEP at Bocconi University, Milan, Italy.
    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.

Research

  • My Ph.D. project aimed to develop a predictive decision support model for
    physicians to improve the management of clinical processes for patients with
    multiple chronic conditions 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 manage these complex patients more proactively. The model was developed
    using a large data set from the hospital's 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.

Articles

All other publications

Employments

  • Affiliated to Research, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 2022-2025

Degrees and Education

  • Degree Of Doctor Of Philosophy, Department of Learning, informatics, Management and Ethics, Karolinska Institutet, 2022

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