In day-to-day operations, missing preparation may only be noticed shortly before the scheduled case. When the case plan, approved list, stock, sterilisation and alternative-set records are scattered across different screens, documents or team records, problems do not become visible in time.
Fragmented data delays preparation of the readiness check report and forces staff to search manually for supporting evidence again. Before making a decision, the operating theatre lead nurse and clinical team have to complete missing fields and verify inconsistencies one by one.
A common exception is that a different set approved by the clinician may be used for the case. Incomplete or incorrect automation that overlooks this context could flag a suitable set as incomplete or treat an incomplete set as ready, so the output cannot be applied directly.
The system stops after preparing the readiness check report. The operating theatre lead nurse and clinical team review the sources and the exception, then approve, correct or reject the output. Direct application is disabled because it could flag a suitable set as incomplete or treat an incomplete set as ready; the system does not replace specialist judgement.
Access to the case plan, approved list, stock, sterilisation and alternative-set records is limited to the minimum permissions required for each role. Identifiers and sensitive fields are masked where possible, and only the necessary section is sent to the model rather than the entire raw file. Access, outputs and decisions by the operating theatre lead nurse and clinical team are recorded; the system does not enter production until the organisation has approved the retention period and data location.
A good fit
Not a good fit
The system uses the case plan, approved list, stock, sterilisation and alternative-set records. If a required field is unavailable, it does not produce a definitive result and presents the missing source for review by the operating theatre lead nurse and clinical team.
The workflow stops when the readiness check report is ready and waits for approval from the operating theatre lead nurse and clinical team. The specialists may correct, defer or reject the output and record their reasons.
The system is designed to store the source identity, applied rule, exception, output and human decision together. This makes it possible to review later how the source data led to a particular recommendation.
Project led by:DijitalPi
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