i2b2 and REDCap are two widely adopted solutions respectively to facilitate data re-use for research purpose and to manage non-for-profit research studies. REDCap provides the design specifications to build a web service used to import data from an external source with a procedure called DDP. In this work we have developed a web service that implements these specifications in order to import data from i2b2. Our approach has been tested with a real REDCap study.
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Giant cell arteritis (GCA), a systemic vasculitis affecting large and medium-sized arteries, poses significant diagnostic and management challenges, particularly in preventing irreversible complications like vision loss. Recent advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL), offer promising solutions to enhance diagnostic accuracy and optimize treatment strategies for GCA. This systematic review, conducted according to the PRISMA 2020 guidelines, synthesizes existing literature on AI applications in GCA care, with a focus on diagnostic accuracy, treatment outcomes, and predictive modeling.
View Article and Find Full Text PDFFront Digit Health
December 2024
MOH Office for Healthcare Transformation, Singapore, Singapore.
The COVID-19 pandemic in Singapore led to limited access to mental health services, resulting in increased distress among the population. This study explores the potential benefits of offering a digital mental health intervention (DMHI), Wysa, as a brief and longitudinal intervention as part of the mindline.sg initiative launched by the MOH Office for Healthcare Transformation in Singapore.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFExpert Opin Pharmacother
January 2025
School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Introduction: Kidney failure is a life-limiting condition that profoundly impacts an individual's quality of life. The significant medication burden on patients required to manage the comorbidities and complications of kidney failure can have implications for patient-reported and clinical outcomes.
Methods: This work systematically reviewed methods used to assess medication regimen complexity amongst adults with kidney failure, the associated patient-reported and clinical outcomes, and the effectiveness of interventions to address regimen complexity.
JBI Evid Synth
January 2025
School of Nursing, University of Victoria, Victoria, BC, Canada.
Objective: This scoping review seeks to identify what is known about the role of liaisons who support two-spirit, lesbian, gay, bisexual, trans, queer, intersex, and asexual (2SLGBTQIA+) people receiving care in health-service settings, and specifically, how the 2SLGBTQIA+ liaison role is defined and characterized.
Introduction: To mitigate the stigma and discrimination experienced by 2SLGBTQIA+ people in health-service settings, a 2SLBGTQIA+ liaison position was initiated at a Canadian hospital. A comprehensive understanding of the 2SLGBTQIA+ liaison role is integral to the implementation of 2SLGBTQIA+ liaison positions in health-service settings globally.
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