CRIS Projects Details -
Accept Cookies

Cookies: How we use information on our website:

We use cookies on our website to make it clear, useful and reliable. In order to achieve this and to provide certain personalised features we store a small amount
of data about you. Click Here to learn more. By navigating from the front page to other sections of our website, you are consenting to information being stored.


Project Details

 

Deriving occupations from CRIS electronic records from the free text

Lead Applicant Name :
Natasha Chilman
Project Type :
Research
Approval Date :
20-Jun-2019
References :
Chilman-MacIntyre Gray N, Song X, Tolani E, Stewart R, Chui Z, Birnie K, Aschan-Harber L, Gazard B, Chandran D, Sanyal J, Hatch S, Kolliakou A, Das-Munschi J. (2020) Text-mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK. BMJ Open
Lay Summary :
Details of patient’s occupations are often found in the free-text fields of CRIS electronic health records, therefore the extraction and analysis of occupation poses a challenge for researchers. We are developing and evaluating an application to extract occupation information from CRIS with a view to mapping onto occupational social class schema, and investigating relationships between occupational social class and health & service outcomes.<br/>