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Bennet doctoral students

Business leader Carl Bennet, through his company Carl Bennet AB, is financing a doctoral programme at Halmstad University in health innovation and information-driven care. This programme marks Carl Bennet’s continued commitment to the University. For nearly a decade, he supported the University through the Bennet professor programme.

Information driven care

Halmstad University has a multidisciplinary research programme in Information Driven Care (IDC), positioning the University as a national leader in integrating AI and machine learning research, implementation research and innovation research, explicitly in health care.

Thanks to a donation from Carl Bennet AB, five doctoral students (the Bennet doctoral students) will be part of the IDC. Their projects cover ethical considerations in AI technology usage, enhancing patient safety by integrating AI into primary care, predicting sudden cardiac death using AI, developing multimodal large language models for healthcare, and exploring the scalability of health innovations. These projects address health challenges identified collaboratively with other sectors, push the boundaries of research, and develop technologies and processes for information-driven healthcare solutions.

Apply to the Bennet doctoral projects

Are you a master’s student or doctoral student and interested in information driven care?

Apply for the Bennet doctoral projects

The application deadline is on 4 June.

Bennet doctoral research projects

Ethical artificial intelligence (School of Health and Welfare)

In the doctoral project, the ethical aspects of technology-driven healthcare are examined. With technology advancing swiftly, it’s crucial to examine its ethical dimensions thoroughly. The research aims to promote responsible and ethical use of technology in healthcare by exploring ethical frameworks. Ultimately, it seeks to build trust and acceptance among both healthcare professionals and patients.

Patient safety and AI (School of Health and Welfare)

In the doctoral project, the the impact of digital triage applications on patient safety and healthcare professionals working conditions in Swedish primary care is explored. With various methods employed, including artificial intelligence-enhanced, deterministic, and self-triage systems, the project aims to fill the gap in understanding their effectiveness and value. Through a multiple case study approach involving collaboration with application developers and healthcare providers, qualitative and quantitative data will be gathered from both staff and patients. The ultimate goal is to provide insights into how these technologies influence healthcare delivery and patient outcomes.

Sudden death prediction (School of Information Technology)

The doctoral project focuses on developing and applying predictive models in real-world healthcare, particularly on sudden cardiac death in the Halland region. Building upon existing research utilising electrocardiograms, the task involves validating and refining these models in new patient groups, both retrospectively and prospectively. Through this process, the accuracy and applicability of the models will be enhanced while identifying previously unnoticed risk factors among patient subgroups and deepening understanding of causal inference. Alongside technical skills in data science, insights into project management, legal compliance, and ethical considerations in handling sensitive healthcare data will be gained.

Medical multimodal large language model for health care (School of Information Technology)

The doctoral project focuses on developing a unified framework for multimodal large language models in healthcare. This framework aims to address challenges such as data scarcity, data misalignment, and medical biases.

Transforming healthcare: Bridging gaps in digital health scalability across Sweden and the UK (School of Business, Innovation and Sustainability)

The doctoral project focuses on collaboration challenges in health innovation ecosystems, particularly generating new business models in health tech companies. The goal is to expedite and synchronise health tech innovations' commercialisation, adoption, and implementation. The project will explore perspectives from both industry and healthcare, aiming to reveal critical factors influencing the scalability of health tech solutions. Ultimately, the project aims to offer valuable insights into innovation and business, especially within information-driven healthcare.

About Carl Bennet’s support

Between 2014 and 2022, Carl Bennet AB has supported a professorship at Halmstad University, known as the Bennet Professorship. This endowed position has significantly contributed to the positive advancement of the University’s research over the past decade. Halmstad University has strengthened its academic standing and reputation, particularly in Health Innovation.