The feasibility of integrating an alcohol screening clinical decision support tool into primary care clinical software: a review and Australian key stakeholder study.

Background: This study explored the feasibility of integrating a clinical decision support tool into general practice clinical management software in Australia to prompt for alcohol screening among patients who are pregnant or planning a pregnancy. The study aimed to increase understanding of what is an appropriate and acceptable clinical decision support tool, the circumstances when a prompt to use such a screening tool should occur, and the barriers and enablers of successful implementation.

Methods: This feasibility study employed a mixed methods approach and purposive sampling to identify key stakeholders to interview.

Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach.

People with a history of injecting drug use are a priority for eliminating blood-borne viruses and sexually transmissible infections. Identifying them for disease surveillance in electronic medical records (EMRs) is challenged by sparsity of predictors. This study introduced a novel approach to phenotype people who have injected drugs using structured EMR data and interactive human-in-the-loop methods.

Future Health Today: A pragmatic cluster randomised trial of quality improvement activities in general practice for patients at risk of undiagnosed cancer.

Unlabelled: Diagnosing cancer in general practice is complex, given the non-specific nature of many presenting symptoms and the overlap of potential diagnoses. This trial evaluated the effectiveness of a technology, Future Health Today (FHT), which provides clinical decision support, auditing, and quality improvement monitoring, on the appropriate follow-up of patients at risk of undiagnosed cancer.

Methods: Pragmatic, cluster randomised trial in Australian general practice.

Systemic inflammation and lymphocyte activation precede rheumatoid arthritis.

Some autoimmune diseases, including rheumatoid arthritis (RA), are preceded by a critical subclinical phase of disease activity. Proactive clinical management is hampered by a lack of biological understanding of this subclinical 'at-risk' state and the changes underlying disease development. In a cross-sectional and longitudinal multi-omics study of peripheral immunity in the autoantibody-positive at-risk for RA period, we identified systemic inflammation, proinflammatory-skewed B cells, expanded Tfh17-like cells, epigenetic bias in naive T cells, TNF+IL1B+ monocytes resembling a synovial macrophage population, and CD4 T cell transcriptional features resembling those suppressed by abatacept (CTLA4-Ig) in RA patients.