Clinical Fellow Digital Health/Artificial Intelligence Critical Care

Clinical Fellow Digital Health/Artificial Intelligence Critical Care

Oxford University Hospitals NHS Foundation Trust

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 programme experience (OOPE).

Main duties of the job

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.

Job responsibilities

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:

1. 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.
2. 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.
3. 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.
4. 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. 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 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. 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.

Person Specification

Professional Registration

• GMC registration with licence to practise or eligibility for sponsorship

Qualifications

• FRCA, MRCP, FFICM or equivalent
• Higher research degree

Experience

• Intermediate to advanced competencies in Intensive Care medicine
• Evidence of ability to manage critically ill patients with distant supervision
• Minimum two years' experience in Intensive Care
• At least 12 months experience in anaesthetics and airway management skills/capabilities in management of critically ill patients.
• Experience with digital transformation (evidence of at least one successful implementation)
• Some experience with programming, data analysis and database manipulation (SQL/ R /Python)

Skills and Knowledge

• Excellent leadership, organisational, communication, and professional skills to effectively undertake the role of senior clinical Fellow in a busy teaching hospital ICU.
• Experience of teaching undergraduates and trainees
• Knowledge of the organisation of the NHS
• Research experience and outputs

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.