The “trifecta” refers to the interconnectedness of clinical reasoning, the management of uncertainty, and the reduction of diagnostic error. Good reasoning and effective management of uncertainty lead to fewer errors.
No, the discussion will not focus on the management of errors after they have occurred. However, it will emphasise the importance of open discussions about errors as learning opportunities and point to resources like Medical Defence Organisation Fact Sheets.
Diagnostic error involves both failing to establish an accurate and timely diagnosis and failing to communicate that explanation effectively to the patient.
Diagnostic error is a significant issue, accounting for a substantial portion (around a third) of medical claims.
Case studies provide practical examples for registrars to analyse clinical reasoning, identify potential errors, and discuss strategies for improvement.
Supervisors can:
The main categories are:
No, diagnostic errors often result from a combination of factors. The “Swiss cheese model” illustrates how multiple factors can align to create an opportunity for error.
Cognitive biases are flawed thinking patterns that can lead to errors in judgment and decision-making.
The diagnostic pause is a brief period during the consultation where the clinician intentionally stops to reflect on the case, consider potential diagnoses, and plan the next steps.
It allows the clinician to:
Clinicians can:
ICE stands for Ideas, Concerns, and Expectations. These questions help explore the patient’s perspective:
Rational test ordering involves selecting investigations that are most likely to benefit the patient while minimizing harm and unnecessary costs.
Resources include:
Gut feelings are intuitive senses of unease or concern about a patient. They can be valuable signals that warrant further investigation or attention.
AI has the potential to assist with tasks like documentation and data analysis. However, there are concerns about its impact on clinical reasoning and the potential for bias. The RACGP recommends against using AI scribes for GPT1 registrars.
Date reviewed: 19 April 2025