(duplicate) Text mining of Electronic Health Care Records at Salford Royal

• Research type

  Research Study

• Full title

  Text mining of Electronic Health Care Records at Salford Royal: a Feasibility Study

• IRAS ID

  173168

• Contact name

  Nawar Bakerly

• Contact email

  Nawar.Bakerly@srft.nhs.uk

• Sponsor organisation

  Salford Royal NHS Trust

• Duration of Study in the UK

  1 years, 0 months, 0 days

• Research summary

  The aim of this study is to assess the feasibility of obtaining informed consent from patients and extracting the required data, to support a future funding application.

  Once the information is gathered, we will extract automatically using text mining, phenotypic information, i.e. problem, condition, aetiology, treatment, test,risks, signs, symptoms from fully consented electronic health records (EHRs) related to diabetes and COPD. The ultimate goal is to support clinical decision making, personalised therapy and quality assurance by overcoming challenges related with data and computing intensive endeavours.

• REC name

  London - South East Research Ethics Committee

• REC reference

  15/LO/0530

• Date of REC Opinion

  17 Mar 2015

• REC opinion

  Favourable Opinion