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…

Career opportunities for GPs in North and West London

On Wednesday 22 November 2017, I spoke at an event organised by the North and West London Faculty of the Royal College of General Practitioners. The event was aimed at ‘First Five’ general practitioners. I spoke on the topic of opportunities in research. The event was chaired by Dr Camille Gajria and Dr Nilesh Bharakhada. Other speakers at the conference included Dr Ian Goodman, Chair Hillingdon CCG, who spoke on the topic of emerging opportunities for GPs through new models of care; Dr Sohail Hussain who spoke on media opportunities; Dr Krishan Aggarwal who spoke on finance; Dr Shivani Tanna who spoke on teaching opportunities; Dr Sonia Tsukagoshi who spoke on international opportunities; and Dr Nilesh Bharakhada who spoke on the Care Information Exchange and opportunities in technology for GPs. The event was a good opportunity for First Five GPs to learn about career opportunities in London and also update themselves on areas such as personal finance and key developments in the NHS…

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…