Dr Phil Koczan

NHS England

Dr Koczan has been a GP in Chingford North East London for over 25 years. He is a fellow of the Royal College of General Practitioners and a member of their Health Informatics Group. He is also a Founding Fellow of the Faculty of Clinical Informatics
He has a long interest in Medical informatics and is the CCIO for Digital Interoperability for NHS England (London Region). He has a national role as Senior Clinical Advisor to the Digital Development team for NHS England. He also has an interest in Clinical Safety and is a Clinical Advisor to the PRSB (Professional Record Standards Body),

His particular interest is around both the application of technology to support care and bringing data together from different care settings to support patient care and quality improvement.

dont miss

Assessing the application of Artificial Intelligence and its use in the NHS

This seminar will look at the evolving field of Artificial Intelligence and the potential for use within the NHS. It will particularly focus on how the Clinical Safety can be assessed and the evolving policies and standards that should be used.

EVEN MORE SEMINARS

  • Dr Mark Halling-Brown: Speaking at the AI and Machine Learning Convention

    Dr Mark Halling-Brown
    Royal Surrey County Hospital

    Practicalities of creating medical image research databases for AI

  • Senthil Periaswamy, PhD: Speaking at the AI and Machine Learning Convention

    Senthil Periaswamy, PhD
    iCAD Inc.

    How AI Can Improve Diagnostic Performance and Reduce Reading Time in Breast Tomosynthesis

  • Dr Hugh Harvey: Speaking at the AI and Machine Learning Convention

    Dr Hugh Harvey
    Kheiron Medical Technologies

    Deep Learning in Breast Cancer Screening

  • Simon Harris: Speaking at the AI and Machine Learning Convention

    Simon Harris
    EMRAD – NHS East Midlands Radiology Consortium

    Developing, testing and deploying Artificial Intelligence in Breast Screening services

  • Dr Stephen Weng: Speaking at the AI and Machine Learning Convention

    Dr Stephen Weng
    School of Medicine, University of Nottingham

    Machine-learning in prognostic research using routine health care data