Clinical Fellow Digital Health/Artificial Intelligence Critical Care
| Dyddiad hysbysebu: | 02 Ebrill 2025 |
|---|---|
| Cyflog: | Heb ei nodi |
| Gwybodaeth ychwanegol am y cyflog: | £70,425 per annum |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 02 Mai 2025 |
| Lleoliad: | Oxford, OX3 9DU |
| Cwmni: | Oxford University Hospitals NHS Foundation Trust |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 7070143/321-CSS-MS-7070143-S6 |
Crynodeb
A Vacancy at Oxford University Hospitals NHS Foundation Trust.
Interview Date - 12/05/2025
Applications are invited for the Oxford Digital Health and Artificial Intelligence (AI) in Critical Care fellowship, which offers a unique opportunity to integrate digital health technologies and AI in critical care medicine while building advanced clinical competencies in critical care either as a standalone fellowship or out of program
experience (OOPE).
This fellowship is designed for senior trainees in adult Intensive care medicine (ICM) who wish to develop expertise in integrating digital health solutions and AI in clinical practice as applied to critical care. The program focuses on building skills in data analysis, AI-enhanced diagnostics, and user-centred design to drive digital transformation in critical care. Fellows will also acquire advanced stage 3 competencies in ICM by being part of senior rota and delivering clinical duties in a tertiary care ICU while driving and contributing to digital projects to modernise and enhance patient care and staff experience.
Oxford University Hospitals NHS Foundation Trustis one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury.
Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community.
We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence.
These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via theOUH YouTube channel.
In 2023 NHS England launched its first sexual safety charter, and our Trust proudly signed it. We pledge zero tolerance for inappropriate sexual behaviour and commit to theten core principles
Oxford University Hospitalspromotes a safe, respectful hiring environment.
If you want to make a difference with us, come and join our team. Together, we will uphold the highest standards of care and professionalism.
The fellowship will take place over twelve months, combining clinical responsibilities with dedicated time (one day per week) to focus on digital health and AI initiatives.
Possible areas of development include:
• Digital Transformation in Healthcare: Leading and contributing to projects that apply digital technologies to transform workflows, optimise patient care processes, and improve clinical outcomes in the critical care setting.
• Usability and User Experience (UX): Developing expertise in the design,
evaluation, and implementation of digital health tools, ensuring they are user friendly and align with the needs of both clinicians and patients in the real world critical care environment.
• Data Analytics in Critical Care: Training in handling and analysing large
datasets from electronic health records (EHR) and bedside monitoring
devices to support evidence-based decision-making.
• Machine learning and AI in the diagnosis and management of respiratory failure. Fellows will participate in clinical research projects involving AI-driven diagnostic and treatment algorithms in respiratory critical care.
Fellows will receive close supervision from senior mentors throughout the fellowship. They are expected to present their work within the department and at conferences and submit publications in relevant scientific journals. Whilst not a defined expectation, participation in the digital critical care datathon organised by the ESICM data science section and Amsterdam UMC is strongly encouraged during the fellowship tenure.
Clinical Duties
Alongside digital health projects, the appointee will deliver clinical duties at the senior level in the corresponding on-call rota both in the Oxford Critical Care and Churchill ICU of Oxford University Hospitals NHS Trust. Fellows will develop advanced clinical knowledge and skills in ICM while integrating digital solutions into the practice.
Candidates from any Intensive Care Medicine related speciality are encouraged to apply. Applicants must demonstrate strong airway management and resuscitation skills.
Fellowship Support and Development
Fellows will be actively supported in applying for external fellowships, such as the Topol Fellowship, which focuses on leadership in digital health. Previous fellows from this department have successfully obtained such fellowships, and support will include guidance on applications and mentorship throughout the process. Support for application to higher educational courses can be considered with prior discussion.
Supervision - The fellowship will be overseen by consultants Dr David Clarke, lead for digital health at Oxford Critical Care, Dr Raja Jayaram, fellowship co-lead and program director for Oxford Critical Care fellowships, and experts in digital health and AI.
Regular progress evaluations, including project reports, peer feedback, and competency assessments, will be conducted, with a mandatory six-month successful review to proceed with further advancement in the program.
This advert closes on Wednesday 30 Apr 2025
Interview Date - 12/05/2025
Applications are invited for the Oxford Digital Health and Artificial Intelligence (AI) in Critical Care fellowship, which offers a unique opportunity to integrate digital health technologies and AI in critical care medicine while building advanced clinical competencies in critical care either as a standalone fellowship or out of program
experience (OOPE).
This fellowship is designed for senior trainees in adult Intensive care medicine (ICM) who wish to develop expertise in integrating digital health solutions and AI in clinical practice as applied to critical care. The program focuses on building skills in data analysis, AI-enhanced diagnostics, and user-centred design to drive digital transformation in critical care. Fellows will also acquire advanced stage 3 competencies in ICM by being part of senior rota and delivering clinical duties in a tertiary care ICU while driving and contributing to digital projects to modernise and enhance patient care and staff experience.
Oxford University Hospitals NHS Foundation Trustis one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury.
Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community.
We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence.
These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via theOUH YouTube channel.
In 2023 NHS England launched its first sexual safety charter, and our Trust proudly signed it. We pledge zero tolerance for inappropriate sexual behaviour and commit to theten core principles
Oxford University Hospitalspromotes a safe, respectful hiring environment.
If you want to make a difference with us, come and join our team. Together, we will uphold the highest standards of care and professionalism.
The fellowship will take place over twelve months, combining clinical responsibilities with dedicated time (one day per week) to focus on digital health and AI initiatives.
Possible areas of development include:
• Digital Transformation in Healthcare: Leading and contributing to projects that apply digital technologies to transform workflows, optimise patient care processes, and improve clinical outcomes in the critical care setting.
• Usability and User Experience (UX): Developing expertise in the design,
evaluation, and implementation of digital health tools, ensuring they are user friendly and align with the needs of both clinicians and patients in the real world critical care environment.
• Data Analytics in Critical Care: Training in handling and analysing large
datasets from electronic health records (EHR) and bedside monitoring
devices to support evidence-based decision-making.
• Machine learning and AI in the diagnosis and management of respiratory failure. Fellows will participate in clinical research projects involving AI-driven diagnostic and treatment algorithms in respiratory critical care.
Fellows will receive close supervision from senior mentors throughout the fellowship. They are expected to present their work within the department and at conferences and submit publications in relevant scientific journals. Whilst not a defined expectation, participation in the digital critical care datathon organised by the ESICM data science section and Amsterdam UMC is strongly encouraged during the fellowship tenure.
Clinical Duties
Alongside digital health projects, the appointee will deliver clinical duties at the senior level in the corresponding on-call rota both in the Oxford Critical Care and Churchill ICU of Oxford University Hospitals NHS Trust. Fellows will develop advanced clinical knowledge and skills in ICM while integrating digital solutions into the practice.
Candidates from any Intensive Care Medicine related speciality are encouraged to apply. Applicants must demonstrate strong airway management and resuscitation skills.
Fellowship Support and Development
Fellows will be actively supported in applying for external fellowships, such as the Topol Fellowship, which focuses on leadership in digital health. Previous fellows from this department have successfully obtained such fellowships, and support will include guidance on applications and mentorship throughout the process. Support for application to higher educational courses can be considered with prior discussion.
Supervision - The fellowship will be overseen by consultants Dr David Clarke, lead for digital health at Oxford Critical Care, Dr Raja Jayaram, fellowship co-lead and program director for Oxford Critical Care fellowships, and experts in digital health and AI.
Regular progress evaluations, including project reports, peer feedback, and competency assessments, will be conducted, with a mandatory six-month successful review to proceed with further advancement in the program.
This advert closes on Wednesday 30 Apr 2025
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