Katharina Kohler

Post-doctoral Researcher

Biography

I am an NIHR Research DSE Fellow working within the wider UCL Health Algorithms group. I am interested in peri-operative health systems both within the UK and a global health setting. My position as Locum Consultant in Anaesthesia at Cambridge University Hospitals gives me the clinical background to inform my research.

Combining technical expertise in data science from my previous experience in physics research with my background in peri-operative medicine I am keen to discover the how aspects of health systems affect patient care quality and outcomes. I am particularly interested in analysing healthcare systems and resource usage both within the high-income data-rich environment of electronic health records and the low-income data-poor setting of low- and middle income (LMIC) acute care services. Within the data science setting I hope to employ quantitative methods from other areas of data science such as network analysis, machine learning and simulation to develop clinically founded models that allow us to understand strain/stress within healthcare systems and effectively target improvement and development in the peri-operative care.

Some of my recent work published in a variety of journals:

Multi-centre, international study on COVID-19 patients and the effects of treatment on the development of secondary infections

Systems approach to improving traumatic brain injury care in Myanmar: a mixed-methods study from lived experience to discrete event simulation

Use of network analysis to model the effects of the SARS Cov2 pandemic on acute patient care within a healthcare system

Network science to investigate the structure of a complex healthcare system - a network analysis using data from emergency surgical services

Computational model of cerebral oxygenation after traumatic brain injury and the implications for Rescuing Hypoxic Tissue