Computing Care Quality Improvement Tactics from Health Records: Closing the Gap Between Audit and Action
Benjamin Brown, Richard Williams, Matthew Sperrin, Timothy Frank, John Ainsworth, Iain Buchan(2014)
Computing Care Quality Improvement Tactics from Health Records: Closing the Gap Between Audit and Action.
AMIA Symposium, doi:
- Link to article
- Despite widespread use of clinical guidelines, actual care often falls short of ideal standards. Electronic health
records (EHR) can be analyzed to provide information on how to improve care, but this is seldom done in sufficient
detail to guide specific action. We developed an algorithm to provide detailed, actionable information for care
quality improvement, using blood pressure (BP) management in chronic kidney disease (CKD) as an exemplar. We
used UK clinical guidelines and EHR data from 440 patients in Salford (UK) to develop the algorithm. We then
applied it to 532,409 individual patient records, identifying 11,097 CKD patients, 3,766 (34%) of which showed
room for improvement in their care: either through medication optimization or better BP monitoring. Manual
record reviews indicated a positive-predictive value of 90%. This kind of algorithm could help improve the
management of long-term conditions by providing the missing link between clinical audit and decision support.
- Author for correspondence
- Benjamin Brown
- Email for correspondence
Clinical code lists:
No code lists have been uploaded for this article yet.
0 comments have been posted.
Please log in to leave a comment.