Get out what you put in: optimising electronic medical record data

Brandon Stretton, Joshua Kovoor, Aashray Gupta, Lewis Hains, Stephen Bacchi, Bianca Wong, Patrick G. O'Callaghan, Savio Barreto, Thomas J. Hugh, Elizabeth Murphy, Markus Trochsler, Robert Padbury, Mark Boyd, Guy Maddern

Research output: Contribution to journalComment/debate

20 Downloads (Pure)

Abstract

As clinicians and researchers, it is our responsibility to use the data available to us to optimise the care of our patients. These data are vast and should, in theory, be able to provide granular information to make appropriate diagnostic and management decisions to provide the best care for patients. However, these data can take many forms in electronic medical records (EMR) that are also not designed to output the information in a coordinated manner. Accordingly, the measurement of data in EMR is often tenuous and slow. Now, with many institutions transitioning from handwritten to EMR software, foresight and a coordinated approach is required to transition to the digital age.
Original languageEnglish
Pages (from-to)2056-2058
Number of pages3
JournalANZ Journal of Surgery
Volume93
Issue number9
DOIs
Publication statusPublished - Sept 2023

Keywords

  • Electronic medical records
  • medical data
  • research activities
  • audit activities

Fingerprint

Dive into the research topics of 'Get out what you put in: optimising electronic medical record data'. Together they form a unique fingerprint.

Cite this