Skip to main content

Research Assistant - TRANSFORM Project

An opportunity has arisen for either a Research Assistant or Research Associate to join an international/cross-discipline team creating a rapid learning healthcare system to improve patient safety and volume of clinical research in Europe. This is an exciting opportunity for an individual with a keen interest in data mining and/or data provenance who is looking to gain experience in medical informatics. The aim of the research is to design and develop an extensible provenance framework to be integrated into the decision support and data mining engines to ensure auditability and accountability. This position will be responsible for investigating existing provenance models and their applicability to data mining tasks and contributing to the development of novel data mining models for translational data. See the Imperial College Recruitment Page for further details.

Comments

Popular posts from this blog

Research Outputs of England’s Hospital Episode Statistics Database

Hospital administrative data, such as those provided by the Hospital Episode Statistics (HES) database in England, are increasingly being used for research and quality improvement. To date, no study has tried to quantify and examine trends in the use of HES for research purposes. We therefore examined trends in the use of HES data for research. Our study was published in the Journal of Innovation in Health Informatics.

Publications generated from the use of HES data were extracted from PubMed and analysed. Publications from 1996 to 2014 were then examined further in the Science Citation Index (SCI) of the Thompson Scientific Institute for Science Information (Web of Science) for details of research specialty area. 520 studies, categorised into 44 specialty areas, were extracted from PubMed. The review showed an increase in publications over the 18-year period with an average of 27 publications per year, however with the majority of outputs observed in the latter part of the study per…

Extending GP opening hours will not ease the rising burden on A&E departments

A study published in the journal BMJ Quality and Safety concluded that extending GP opening hours will not ease the rising burden on Accident and Emergency departments. The observational study was led by Imperial College London. Lead author Dr Thomas Cowling from Imperial College's Department of Primary Care and Public Health and colleagues compared patients' experiences of GP surgeries with the number of Accident and Emergency visits in their areas in England from 2011-2012 to 2013-2014. They examined reports from NHS England's annual GP Patient Survey, and included patients registered to 8,124 GP surgeries.

We measured levels of patient satisfaction using three factors: the ease of making an appointment, opening hours, and overall experience. They then matched these responses with A&E departments in their area to observe any correlation with the number of visits to A&E. Overall, areas where patients were happier with the ease of making appointments, which could …

Research outputs of primary care databases in the United Kingdom: bibliometric analysis

Data collected in electronic medical records for a patient in primary care in the United Kingdom can span from birth to death and can have enormous benefits in improving health care and public health, and for research. Several systems exist in the United Kingdom to facilitate the use of research data generated from consultations between primary care professionals and their patients. General Practitioners play a gatekeeper role in the UK’s National Health Service (NHS) because they are responsible for providing primary care services and for referring patients to see specialists.

In more recent years, these databases have been supplemented (through data linkage) with additional data from areas such as laboratory investigations, hospital admissions and mortality statistics. Data collected in primary care research databases are now increasingly used for research in many areas, and for providing information on patterns of disease. These databases have clinical and prescription data and ca…