Dr Simon Sawhney

Biography

I'm a senior clinical lecturer in nephrology at ACHDS. I aim to use data to challenge and strengthen the evidence that guides how we care for people with kidney diseases, understand how we can make better decisions that benefit people, and translate clinical research into changes in how we provide care.

Research interests:

- Kidney health epidemiology
- Clinical decision making
- Replicability and reproducibility of research
- Health Inequities
- Risk tools

Supervision:

ACHDS is a lovely team to work and study with. If you would like to know more about opportunities for research or collaboration, just get in touch.

Funding and Grants

Kidney Foundation of Canada 2025-2028. (Co-I) Sex and gender differences in the burden, management, and outcomes of chronic kidney disease

Canadian Institutes of Health Research 2025-2028. (Co-I) Improving Prediction of Hospital Readmission: Development of a Prediction Framework and Novel Prediction Tool

Chief Scientist Office Scotland 2024-2026. (PI) Understanding and reducing inequalities in kidney health care and outcomes in Scotland

National Institute for Health Research 2022-2025. (Co-I) Improving the quality of post-discharge care following acute kidney injury

Tenovus Scotland 2021-2024. (Co-I) Fast Field-Cycling Imaging of kidney disease

Grampian University Hospitals NHS Trust 2021-2022. (PI) Investigating socioeconomic disparities as a cause and consequence of deteriorating kidney health among people admitted to hospital with an acute illness.

Chief Scientist Office Scotland 2020. (Co-I) Minimising impact on vulnerable patients: data-driven design, monitoring and adaptation of COVID and non-COVID clinical care pathways.

Academy of Medical Sciences Starter Grant for Clinical Lecturers 2019-2020 (PI)  Multicentre Acute kidney injury and Readmissions Replication Study (MARS).

Wellcome Trust Institutional Strategic Fellowship Support Fund 2019-2020. (PI) Acute kidney injury and Readmissions.

Wellcome Trust Institutional Strategic Clinical Research Support Fund 2018-2020. (PI) A machine learning prediction tool for unplanned readmissions after acute kidney injury.

Grampian University Hospitals NHS Trust 2018-2019. (Co-I)Reducing high risk prescribing harm in patients with impaired kidney function.

Farr Institute UK Health Informatics Research Network, 2016-2017. (Co-I) Identifying episodes of acute kidney injury across health care settings using routinely collected data.

Wellcome Trust, 2014-2017. (PI) Long term outcomes of acute kidney injury - establishing prognosis to design optimal management.