Explanipedia

Correction: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study Open

Meghan R. Hutch, Jiyeon Son, Trang T. Le, Chuan Hong, Xuan Wang , et al. · 2025

[This corrects the article DOI: 10.1371/journal.pdig.0000484.].

Increasing diagnoses per patient admission at a specialist children’s hospital: A retrospective study Open

Stuart A Bowyer, John Booth, Daniel Key, Eleni Pissaridou, William Bryant , et al. · 2025

Objective In adult practice there is recognition that average patient complexity is increasing, with a greater proportion of patients having multiple diagnoses or comorbidities. This study aims to examine whether there has been a change in…

Real-world learnings for digital health industry–NHS collaboration: Life sciences vision in action Open

Rebecca Pope, Alexandros Zenonos, William Bryant, Anastassia Spiridou, Daniel Key , et al. · 2024

Several publications have indicated potential benefit from collaboration with industry regarding wider use of anonymised routine NHS healthcare data. However, there is limited guidance regarding exactly how such collaborations between NHS …

Communicating exploratory unsupervised machine learning analysis in age clustering for paediatric disease Open

Joshua Spear, Eleni Pissaridou, Stuart A Bowyer, William Bryant, Daniel Key , et al. · 2024

Background Despite the increasing availability of electronic healthcare record (EHR) data and wide availability of plug-and-play machine learning (ML) Application Programming Interfaces, the adoption of data-driven decision-making within r…

Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study Open

Meghan R. Hutch, Jiyeon Son, Trang T. Le, Chuan Hong, Xuan Wang , et al. · 2024

Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) …

47 Operationalising a friends and family test natural language processing pipeline Open

Victor Banda, William Bryant, Suzanne Collin, Taraben Kapadia, Mark Harris , et al. · 2023

Background To manage the workload of data entry, manual sentence splitting and redaction of patient feedback that comes in form of 2000 comments per month, the patient experience team have worked with multiple data teams at GOSH to automat…

81 Predicting patient pre-medication requirements to help minimise hospital theatre delays Open

Lydia Briggs, Mohsin Shah, Daniel Key, Martin Tisdall, Richard J. Martin , et al. · 2023

In line with the Trust's aims and objectives, investigation into theatre optimisation is of interest to increase hospital efficiency and decrease patient waiting lists. An area related to theatre optimisation includes theatre scheduling a…

48 Developing dummy patient data specific to Great Ormond Street Hospital Open

John Booth, Ewart Sheldon, Daniel Key, William Bryant · 2023

There are an increasing numbers of secondary use cases for patient data. However, access is tightly controlled and it is not possible for researchers to develop applications on patient data. These issues can potentially be addressed throu…

64 The use of graph analytics to enhance the understanding of hospital admissions for Paediatric renal transplants Open

John Booth, William Bryant, Rebecca Pope, Neil J. Sebire · 2023

Aim The interactions between patients and Health Care Providers (HCPs) within a hospital admission are complex and difficult to navigate using traditional analytical approaches when applied to Electronic Patient Record (EPR) data. The coll…

A pragmatic, open-label, randomized controlled trial of Plasma-Lyte-148 versus standard intravenous fluids in children receiving kidney transplants (PLUTO) Open

Wesley Hayes, Emma Laing, Rosemary Brown, Laura Smith, Helen Thomas , et al. · 2023

Acute electrolyte and acid-base imbalance is experienced by many children following kidney transplant. This is partly because doctors give very large volumes of artificial fluids to keep the new kidney working. When severe, fluid imbalance…

Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study Open

Arianna Dagliati, Zachary H. Strasser, Zahra Shakeri Hossein Abad, Jeffrey G. Klann, Kavishwar B. Wagholikar , et al. · 2023

Authors are supported by National Institute of Allergy and Infectious Diseases, National Institute on Aging, National Center for Advancing Translational Sciences, National Medical Research Council, National Institute of Neurological Disord…

Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium Open

Francesca Sperotto, Alba Gutiérrez‐Sacristán, Simran Makwana, Xiudi Li, Valerie Rofeberg , et al. · 2023

Potential pitfalls in the use of real-world data for studying long COVID Open

Harrison G. Zhang, Jacqueline Honerlaw, Monika Maripuri, Malarkodi Jebathilagam Samayamuthu, Brendin R. Beaulieu‐Jones , et al. · 2023

Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic Open

Alba Gutiérrez‐Sacristán, Arnaud Serret-Larmande, Meghan R. Hutch, Carlos Sáez, Bruce J. Aronow , et al. · 2022

Importance The COVID-19 pandemic has been associated with an increase in mental health diagnoses among adolescents, though the extent of the increase, particularly for severe cases requiring hospitalization, has not been well characterized…

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study Open

Byorn W.L. Tan, Bryce W. Q. Tan, Amelia L.M. Tan, Emily Schriver, Alba Gutiérrez‐Sacristán , et al. · 2022

Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections Open

Stuart A Bowyer, William Bryant, Daniel Key, John Booth, Lydia Briggs , et al. · 2022

Objective The COVID-19 pandemic and subsequent government restrictions have had a major impact on healthcare services and disease transmission, particularly those associated with acute respiratory infection. This study examined non-identif…

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality Open

Griffin M. Weber, Chuan Hong, Zongqi Xia, Nathan Palmer, Paul Avillach , et al. · 2022

Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mo…

Multicentre randomised controlled trial: protocol for Plasma-Lyte Usage and Assessment of Kidney Transplant Outcomes in Children (PLUTO) Open

Wesley Hayes, Emma Laing, Claire Foley, Laura Pankhurst, Helen Thomas , et al. · 2022

Introduction Acute electrolyte and acid–base imbalance is experienced by many children following kidney transplantation. When severe, this can lead to complications including seizures, cerebral oedema and death. Relatively large volumes of…

Classification Performance of Neural Networks Versus Logistic Regression Models: Evidence From Healthcare Practice Open

Richard Issitt, Mario Cortina‐Borja, William Bryant, Stuart Bowyer, Andrew M. Taylor , et al. · 2022

Neurological Diagnoses in Hospitalized COVID-19 Patients Associated With Adverse Outcomes: A Multinational Cohort Study Open

Meghan R. Hutch, Jiyeon Son, Trang T. Le, Chuan Hong, Xuan Wang , et al. · 2022

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19 Open

Trang T. Le, Alba Gutiérrez‐Sacristán, Jiyeon Son, Chuan Hong, Andrew M. South , et al. · 2021

Evolving phenotypes of non-hospitalized patients that indicate long COVID Open

Hossein Estiri, Zachary H. Strasser, Gabriel A. Brat, Yevgeniy R. Semenov, James R. Aaron , et al. · 2021

Impact of the COVID-19 pandemic on radiology appointments in a tertiary children’s hospital: a retrospective study Open

Dean Langan, Susan C. Shelmerdine, Andrew M. Taylor, William Bryant, John Booth , et al. · 2021

In this retrospective observational study, we evaluated the impact of the COVID-19 pandemic in London on paediatric radiology activity, as a surrogate of overall hospital activity. We showed a large reduction in overall outpatient imaging …

International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries Open

Florence T. Bourgeois, Alba Gutiérrez‐Sacristán, Mark S. Keller, Molei Liu, Chuan Hong , et al. · 2021

This study of EHRs of children and youth hospitalized for COVID-19 in 6 countries demonstrated variability in hospitalization trends across countries and identified common complications and laboratory abnormalities in children and youth wi…

10 Researching SARS-CoV-2 from home: maximising the benefit of the GOSH digital research environment during national lockdown Open

Richard Issitt, John Booth, Lydia Briggs, William Bryant, Mohsin Shah , et al. · 2020

The 2019 novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, characterised by potentially severe respiratory and gastrointestinal symptoms. As of early October 2020, there were around 34 million confirmed c…

11 Towards international federated health data analysis: experience with the 4CE consortium for characterisation of Covid-19 Open

Anastassia Spiridou, John Booth, Richard Issitt, Mohsin Shah, William Bryant , et al. · 2020

The Covid-19 pandemic necessitated collaborations from hospitals around the world to improve knowledge and find suitable treatments. Responding to the quick spread of the virus, an international consortium was formed (4CE, https://covidcl…

109 COCATOO: a cohort comparison tool for GOSH clinical researchers Open

Lydia Briggs, William Bryant, Mohsin Shah, John Booth, Richard Issitt , et al. · 2020

When faced with large amounts of data, it can be a challenging and lengthy process for a researcher to identify key differences and trends between different sets of patients. The development of a reporting tool which can be easily adapted…

110 Clinical and operational insights: working to embed data-driven processes at GOSH Open

William Bryant, Lydia Briggs, Richard Issitt, Mohsin Shah, John Booth , et al. · 2020

With clinical and operational data for research more easily accessible than ever before through the Digital Research Environment (DRE) in DRIVE, it now is possible to use data-intensive methods and advanced analytics to address many chall…

The design and evaluation of a novel algorithm for automated preference card optimization Open

David Scheinker, Matt Hollingsworth, A. Brody, Carey Phelps, William Bryant , et al. · 2020

Background Inaccurate surgical preference cards (supply lists) are associated with higher direct costs, waste, and delays. Numerous preference card improvement projects have relied on institution-specific, manual approaches of limited repr…

Children with COVID-19 at a specialist centre: initial experience and outcome Open

Richard Issitt, John Booth, William Bryant, Anastassia Spiridou, Andrew M. Taylor , et al. · 2020

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