Medical Records Data Quality version 1
Research type
Research Study
Full title
Improving shared data quality in Leeds general practice
IRAS ID
224706
Contact name
Laura Sbaffi
Contact email
Sponsor organisation
Information School, University of Sheffield
Duration of Study in the UK
0 years, 10 months, days
Research summary
For this inductive reasoning exercise, we will be applying qualitative methods –to assess GPs opinions- and quantitative methods -to assess current data quality on the current primary care electronic health records (EHR).
EHR have two important sections, called summaries and problems, which provide as their names indicate two quick lists of main concerns with the patient, summaries linking more to past medical history, and problems linked to current issues for which the patient is treated/managed for. Data quality is quite variable, what one clinician considers relevant, others do not. There has been no consensus on the way EHR are organised/classified, and in consequence after years of use a Babel Tower has been created. Then, like with languages, you understand your organisational language, but do not comprehend others, you miss relevant information because it is catalogued in a different way, out of reach. As we share information with other organisations, it is paramount we comprehend each other.
By understanding , by trying to find a common way, EHR can be safer, helping to provide information to manage patients and improve outcomes.
REC name
Social Care REC
REC reference
17/IEC08/0040
Date of REC Opinion
20 Oct 2017
REC opinion
Further Information Favourable Opinion