Template | Description | Examples |
Rarity | Screening for rare conditions where there is a significant clinical and economic benefit from early intervention. | Screening an EHR for undiagnosed cardiac amyloidosis,22 familial hypercholesterolaemia,19 or hand-foot-and-mouth disease.23 |
Urgency | Reducing delays in diagnosis or treatment by flagging high-acuity cases or commencing initial management. | Reordering the radiologist worklist to prioritise intracranial haemorrhage.24 Automated triage of emergency presentations.25 |
Quantity | Dealing with high patient throughput by increasing the speed of clinicians and/or automating routine clinical tasks. | Summarising historical notes and identifying relevant clinical data.26 Automated quantification of cardiac volumes on MRI.27 |
Quality | Monitoring care delivery to ensure quality benchmarks are met or flag medical errors. | Ensuring patients with high mortality risk receive a palliative care referral at an appropriate point in their admission.28 Double-reading medical imaging to identify missed lesions.29 |
Complexity | Extending the capabilities of clinicians with advanced diagnostic or treatment decisions on par or exceeding subspecialists. | Reinforcement learning for dynamic treatment regimens.30 31 Facial recognition for identification of rare genetic syndromes.32 |
EHR, electronic health record.