Automating cancer registries: Pearls and pitfalls
Automating cancer registries can reduce costs but requires thorough planning. The optimal approach may involve humans and machines working together.Implications for health information management practice:Giving early attention to data accuracy, patient privacy and the long-term sustainability of the registry is critical for long-term success.
Authors
- Shaun Evans (ORCID: https://orcid.org/0000-0001-5067-2743)
- Andrew Booth
- Aashray Gupta (ORCID: https://orcid.org/0000-0002-8038-0378)
- Stephen Bacchi (ORCID: https://orcid.org/0000-0001-5130-8628)
- Brandon Stretton (ORCID: https://orcid.org/0000-0002-7939-3489)
- Michael P. Brown (ORCID: https://orcid.org/0000-0002-5796-1932)
- Rosalind L. Jeffree (ORCID: https://orcid.org/0000-0001-7663-2694)
- Yu-Hsiang Lin (ORCID: https://orcid.org/0000-0002-5120-3778)
- Sarah Howson (ORCID: https://orcid.org/0000-0002-8040-0164)
- WengOnn Chan
- Michael J. Sorich (ORCID: https://orcid.org/0000-0003-1999-866X)
- Carolyn L. Qian (ORCID: https://orcid.org/0000-0002-7188-8831)
- Mark Beecher (ORCID: https://orcid.org/0000-0003-0381-2744)
- Christina Gao (ORCID: https://orcid.org/0009-0005-0033-3352)
- Shrirajh Satheakeerthy (ORCID: https://orcid.org/0009-0005-8604-3750)
- Jesikah Logan
- Joshua Kovoor
Institutions
- Royal Adelaide Hospital (AU)
- Harvard University (US)
- Flinders University (AU)
- China Medical University (TW)
- Lyell McEwin Hospital (AU)
- The Alfred Hospital (AU)
- Massachusetts General Hospital (US)
- Ballarat Health Services (AU)
- China Medical University Hospital (TW)
- The University of Adelaide (AU)
Publication Details
- Journal
- Health Information Management Journal
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1177/18333583251377892
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65