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Background: With the proportion of tuberculosis cases that are extrapulmonary tuberculosis (EPTB) increasing in recent years, understanding and addressing factors contributing to the prolonged time to diagnosis (TTD) of EPTB patients is vital.

Methods: We enrolled presumptive EPTB patients for a cohort study from 2018-2020 in Ujjain, India. Based on a structured questionnaire, the patients were interviewed for socio-demographic and clinical information, including previously visited health facilities (HF) for this illness.

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The biomedical applications of artificial intelligence: an overview of decades of research.

J Drug Target

January 2025

Department of Pharmaceutics, Bharat Pharmaceutical Technology, Amtali, Agartala, Tripura, India.

A significant area of computer science called artificial intelligence (AI) is successfully applied to the analysis of intricate biological data and the extraction of substantial associations from datasets for a variety of biomedical uses. AI has attracted significant interest in biomedical research due to its features: (i) better patient care through early diagnosis and detection; (ii) enhanced workflow; (iii) lowering medical errors; (v) lowering medical costs; (vi) reducing morbidity and mortality; (vii) enhancing performance; (viii) enhancing precision; and (ix) time efficiency. Quantitative metrics are crucial for evaluating AI implementations, providing insights, enabling informed decisions, and measuring the impact of AI-driven initiatives, thereby enhancing transparency, accountability, and overall impact.

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Background: Medical marijuana (MMJ) is available in Pennsylvania, and participation in the state-regulated program requires patient registration and receiving certification by an approved physician. Currently, no integration of MMJ certification data with health records exists in Pennsylvania that would allow clinicians to rapidly identify patients using MMJ, as exists with other scheduled drugs. This absence of a formal data sharing structure necessitates tools aiding in consistent documentation practices to enable comprehensive patient care.

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Importance: Whether state implementation of medical and recreational cannabis laws is associated with increased cannabis use disorder (CUD) and/or cannabis poisoning among adults is not evident.

Objective: To examine state-level medical and recreational cannabis laws' associations with CUD and cannabis poisoning, overall and by sex and age subgroups.

Design, Setting, And Participants: In this longitudinal cohort study, state-level CUD and cannabis poisoning diagnoses from January 2011 to December 2021 were examined across all 50 US states and the District of Columbia before and after the implementation of medical and recreational cannabis laws (MCLs and RCLs, respectively) using a staggered adoption difference-in-differences approach.

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Benchmarking hospital clinical pharmacy practice using standardised key performance indicators (KPIs).

J Pharm Policy Pract

December 2024

Safe and Effective Medicine Research Collaborative, Faculty of Medicine and Faculty of Health and Behavioural Science (School of Pharmacy), University of Queensland, Brisbane, Australia.

Hospital pharmacy services support quality use of medicines and medication safety through clinical pharmacy activities such as medication reviews and patient education. These activities can be measured and monitored using evidence-based and standardised key performance indicators (KPIs), which highlight the value of pharmacy services. Standardisation of KPIs supports long-term benchmarking and inter- and intra-site comparisons to target key areas for improvement in clinical pharmacy services.

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