Exploring practical approaches to maximising data quality in electronic healthcare records in the primary care setting and associated benefits

Dungey, Sheena, Glew, Simon, Heyes, Barbara, MacLeod, John and Tate, A Rosemary (2014) Exploring practical approaches to maximising data quality in electronic healthcare records in the primary care setting and associated benefits. In: SAPC 2014, 9th - 11th July 2014., Edinburgh.

[img]
Preview
PDF
Download (53kB) | Preview

Abstract

Exploiting the information contained within electronic healthcare records (EHR) data will be key to addressing major challenges to public health both nationally and globally, ultimately offering a means of maximising efficiency and equality in care. There are, however, significant challenges in using EHRs effectively and particularly in ensuring the quality of data recorded. Incorrect or missing data could render records as useless or indeed misleading such that conclusions drawn from the data could have a negative impact. Amongst other difficulties, recording data can be time consuming to the extent of conflicting with the GP’s primary focus of patient consultation in an already time-constrained environment. Understanding the requirements of and the demands upon GPs must be central to addressing the issue of data quality (DQ) within EHRs.
As part of on-going work into DQ at the Clinical Practice Research Datalink (CPRD) and in collaboration with the University of Sussex (UoS), a workshop session was held at the SAPC (Society for Academic Primary Care) conference in 2014 with the aim of exploring issues of DQ in primary care EHRs from the perspective of different users of GP data and with particular focus on how and why data is recorded in the first instance. The intended outcome was a furthered understanding of both the challenges and the direct benefits to GPs of ensuring high quality data with a view to establishing a workable approach to recording data and maximising benefits to all users of EHRs.

Item Type: Conference or Workshop Item (Other)
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: R Medicine > R Medicine (General) > R858 Computer applications to medicine. Medical informatics
Related URLs:
Depositing User: Sheena Dungey
Date Deposited: 28 Oct 2014 11:23
Last Modified: 11 Aug 2015 09:42
URI: http://sro.sussex.ac.uk/id/eprint/50750

View download statistics for this item

📧 Request an update