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Erik Mayer

Imperial College London - Department of Surgery & Cancer

SCHOLARLY PAPERS

3

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258

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Variation in the Adoption and Performance of High-Sensitivity Cardiac Troponin for Possible Myocardial Infarction in Practice

Number of pages: 32 Posted: 25 Jan 2024
Michael McDermott, Dorien M. Kimenai, Atul Anand, Zengyi Huang, Andrew Houston, Sophie Williams, Felicity Evison, Suzy Gallier, Catalina Carenzo, Ben Glampson, Madina Hasan, Alexander Robertson, Thomas Phillips, Cai Davis, Erik Mayer, Elizabeth Sapey, Suzanne Mason, Matthew Stammers, Nicholas L Mills and HDRUK Regional Linked Data Driven Evidence Network
University of Edinburgh, University of Edinburgh, University of Edinburgh - BHF Centre for Cardiovascular Science, University of Edinburgh, Government of the United Kingdom - Barts Health NHS Trust, Government of the United Kingdom - Barts Health NHS Trust, University of Birmingham, Queen Elizabeth Hospitals NHS Foundation Trust - PIONEER Health Data Research Hub in Acute Care, Imperial College London - Department of Surgery & Cancer, Imperial College London - Department of Surgery & Cancer, University of Sheffield, University of Sheffield - School of Health and Related Research, University of Southampton - University Hospital Southampton NHS Foundation Trust, University of Southampton - University Hospital Southampton NHS Foundation Trust, Imperial College London - Department of Surgery & Cancer, University of Birmingham - PIONEER Health Data Research Hub for Acute Care, University of Sheffield - School of Health and Related Research, NHS Foundation Trust - Southampton NHS Foundation Trust, NIHR Southampton Biomedical Research Centre, University of Edinburgh - BHF Centre for Cardiovascular Science and Independent
Downloads 117 (608,822)

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Healthcare data, data linkage, high-sensitivity cardiac troponin, healthcare outcomes, myocardial infarction

2.

Assessing Public's Perspective on the Use of Virtual Primary Care During the COVID-19 Pandemic: An Exploratory Approach Using Topic Modelling

Number of pages: 15 Posted: 03 Aug 2022
Felix Machleid, Roberto Fernandez-crespo, Kelsey Flott, Saira Ghafur, Ara Darzi, Erik Mayer and Ana Luisa Neves
Charité - Universitätsmedizin Berlin, Imperial College London - Imperial NIHR Patient Safety Translational Research Centre, Imperial College London - Imperial NIHR Patient Safety Translational Research Centre, Imperial College London - Imperial NIHR Patient Safety Translational Research Centre, Imperial College London - Department of Surgery & Cancer, Imperial College London - Department of Surgery & Cancer and Imperial College London - Imperial NIHR Patient Safety Translational Research Centre
Downloads 79 (809,932)

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Primary Care, Telemedicine, COVID-19, Topic modelling, Latent Dirichlet Allocation, Natural language processing

3.

Large Language Model-Generated Discharge Summaries: A Retrospective Non-Inferiority Study Using Real-World Hospital Data

Number of pages: 16 Posted: 13 May 2026
Kathleen Goldsmith, Maite Arribas, Fidan Damirova, Mazin Mukhaiber, Ghavin Kuganesan, Subanki Srisakthivel, Seham Shaffee, Hutan Momtazian, Christian Oldfield, Danielle Beleutz, Adna Mohamud, Maanya Suri, Amna Nadeem, Verity India Prudence Loake, Catalina Carenzo, Benjamin Atkins, Ina Ko, Ho Lun Chong, Asmita Raja, Ben Glampson, Kelsey Flott, Tim Orchard and Erik Mayer
NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre, Imperial College London - Department of Surgery & Cancer, Imperial College London - Imperial NIHR Patient Safety Translational Research Centre, NIHR Imperial Clinical Research Facility - NIHR Imperial Biomedical Research Centre and Imperial College London - Department of Surgery & Cancer
Downloads 62 (1,020,567)

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Large language models, Generative artificial intelligence, Clinical documentation, Discharge summaries, Electronic health records, EHR fragmentation, Clinical natural language processing, AI-assisted documentation, Continuity of care, Patient safety, Health informatics, Healthcare quality improvement, Responsible AI, AI governance, Human oversight, Clinical workflow, Medical summarisation, Non-inferiority study, Healthcare AI, Digital Health