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Bio
Ang Davies graduated with a BSc in Biochemistry from the University of Bath, before completing a PhD in Molecular Biology at Warwick University. She then undertook a postdoctoral research fellowship at AstraZeneca and moved to Renovo, a biotech company in Manchester as Principal Scientist working in drug development analytics.
Ang is an Associate Professor in the School of Health, Faculty of Biology, Medicine and Health at The University of Manchester.
Healthcare Science Education
Over the last 8 years I have worked nationally with Health Education England (HEE) and the Modernising Scientific Careers healthcare sciences agenda to create the new profession of Clinical Bioinformaticians (~ 150 trainees to date) and develop the knowledge and skills of healthcare professionals in genomic medicine, all of whom are now critical to the delivery of NHS England’s Genomic Medicine Service. I have contributed extensively to curriculum design at the request of HEE and have developed and delivered a Master’s programme to educate Clinical Bioinformaticians, involving students and lay representatives as co-creators to develop the curriculum to ensure teaching meets the needs of a rapidly changing clinical genomics landscape. Between 2019-20 I participated in the national apprenticeship trailblazer to develop a clinical scientist apprenticeship standard, approved in 2020 by the Institute of Apprenticeships and Technical Education for delivery.
Leadership in Digital Transformation
The development of digital technologies to support healthcare professionals and patients is happening at pace. We are rapidly moving from e-prescribing, to mobile health, with a suite of Apps available to help patients to monitor their own health, book appointments and view their GP records. By 2024, all secondary care providers are expected to be fully digitised, implementing electronic health records in plans laid out in the NHS Long Term Plan. This will mean that the utilisation of artificial intelligence (AI) and machine learning methods will be enabled through collection of data through one system. AI can be used to augment clinical decision making and to also predict patient flow and staffing requirements, thereby giving precious time back to healthcare professionals to focus on patient care. Patients will also have much easier access to their own data than in the past, and will be empowered to ask questions regarding it and have opinions and expectations over who should and shouldn’t have access to it. In 2019 I was appointed by the School of Health Sciences as Director of Digital Transformation in Healthcare Education, in this role I am working with colleagues at HEE and Manchester to ensure that current and future healthcare professionals are equipped to deal with digital transformation in their workplaces.
Ang is an Associate Professor in the School of Health, Faculty of Biology, Medicine and Health at The University of Manchester.
Healthcare Science Education
Over the last 8 years I have worked nationally with Health Education England (HEE) and the Modernising Scientific Careers healthcare sciences agenda to create the new profession of Clinical Bioinformaticians (~ 150 trainees to date) and develop the knowledge and skills of healthcare professionals in genomic medicine, all of whom are now critical to the delivery of NHS England’s Genomic Medicine Service. I have contributed extensively to curriculum design at the request of HEE and have developed and delivered a Master’s programme to educate Clinical Bioinformaticians, involving students and lay representatives as co-creators to develop the curriculum to ensure teaching meets the needs of a rapidly changing clinical genomics landscape. Between 2019-20 I participated in the national apprenticeship trailblazer to develop a clinical scientist apprenticeship standard, approved in 2020 by the Institute of Apprenticeships and Technical Education for delivery.
Leadership in Digital Transformation
The development of digital technologies to support healthcare professionals and patients is happening at pace. We are rapidly moving from e-prescribing, to mobile health, with a suite of Apps available to help patients to monitor their own health, book appointments and view their GP records. By 2024, all secondary care providers are expected to be fully digitised, implementing electronic health records in plans laid out in the NHS Long Term Plan. This will mean that the utilisation of artificial intelligence (AI) and machine learning methods will be enabled through collection of data through one system. AI can be used to augment clinical decision making and to also predict patient flow and staffing requirements, thereby giving precious time back to healthcare professionals to focus on patient care. Patients will also have much easier access to their own data than in the past, and will be empowered to ask questions regarding it and have opinions and expectations over who should and shouldn’t have access to it. In 2019 I was appointed by the School of Health Sciences as Director of Digital Transformation in Healthcare Education, in this role I am working with colleagues at HEE and Manchester to ensure that current and future healthcare professionals are equipped to deal with digital transformation in their workplaces.
Research Interests
Papers共 12 篇Author StatisticsCo-AuthorSimilar Experts
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BMJ health & care informaticsno. 1 (2023): e100722-e100722
EUROPEAN JOURNAL OF HUMAN GENETICS (2023): 680-681
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