Rule‐based clinician‐developed programmes can facilitate haemodialysis clinical workflows
There are routine hospital workflows that are not addressed by certain institutional electronic medical records, including the detection of patients requiring haemodialysis who are admitted under non-nephrology services. In this study, the feasibility and performance of a clinician-developed automated haemodialysis patient finder was evaluated. The programme ran with zero downtime for 6 months and had zero false negatives or false positives. This work demonstrates the potential benefits that may be gained when clinicians can meaningfully alter electronic clinical workflows.
Authors
- Andrew Booth
- Stephen Bacchi (ORCID: https://orcid.org/0000-0001-5130-8628)
- Toby Gilbert (ORCID: https://orcid.org/0000-0002-3431-9672)
- Samuel Gluck (ORCID: https://orcid.org/0000-0001-7883-517X)
- Nitesh N. Rao (ORCID: https://orcid.org/0000-0002-0593-9397)
- Bróna Moloney (ORCID: https://orcid.org/0009-0009-7635-6277)
- Shrirajh Satheakeerthy (ORCID: https://orcid.org/0009-0005-8604-3750)
- Weng Onn Chan (ORCID: https://orcid.org/0000-0003-2646-5677)
- Ava Farnan (ORCID: https://orcid.org/0009-0002-5189-1563)
Institutions
- Royal Adelaide Hospital (AU)
- Harvard University (US)
- Flinders University (AU)
- Lyell McEwin Hospital (AU)
- Massachusetts General Hospital (US)
- The University of Adelaide (AU)
Publication Details
- Journal
- Internal Medicine Journal
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1111/imj.16565
- Citations
- 3
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Fulbright Australia