This study presents TBorNotTB, a CDSS designed to improve TB evaluation and streamline isolation decisions, reducing labor while maintaining detection accuracy.
By Tarun Sai LomteReviewed by Lily Ramsey, LLMJan 31 2025 A new clinical decision support system, "TBorNotTB," helps streamline airborne infection isolation decisions, reducing workload while maintaining TB detection accuracy.
Nevertheless, TB incidence surged to 2.9 per 100,000 people in the US in 2023. Meanwhile, hospitals face capacity and staffing challenges, rendering decision-making for suspected TB patients more urgent. In addition, discussions with relevant consultants and the primary team may follow to ascertain whether TB is unlikely to favor AII discontinuation, which is time- and labor-intensive.
To validate the CDSS, researchers conducted a case-control analysis using data from the Mass General Brigham system. The tool was retrospectively applied to patients with culture-confirmed TB and matched culture-negative controls. Findings The researchers identified multiple predictors of TB in the case-control sub-study. Cavitary lesions or other findings suspicious of TB on the chest radiology report were strongly associated with active TB.
Covid-19 Epidemiology Hospital Infection Control Labor Nucleic Acid
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