The aim of this work is to present the HEARTEN Knowledge Management System, one of the core modules of the HEARTEN platform. The HEARTEN platform is an mHealth collaborative environment enabling the Heart Failure patients to self-manage the disease and remain adherent, while allowing the other ecosystem actors (healthcare professionals, caregivers, nutritionists, physical activity experts, psychologists) to monitor the patient's health progress and offer personalized, predictive and preventive disease management. The HEARTEN Knowledge Management System is a tool which provides multiple functionalities to the ecosystem actors for the assessment of the patient's condition, the estimation of the patient's adherence, the prediction of potential adverse events, the calculation of Heart Failure related scores, the extraction of statistics, the association of patient clinical and non-clinical data and the provision of alerts and suggestions. The innovation of this tool lays in the analysis of multi-parametric personal data coming from different sources, including for the first time breath and saliva biomarkers, and the use of machine learning techniques. The HEARTEN Knowledge Management System consists of nine modules. The accuracy of the KMS modules ranges from 78% to 95% depending on the module/functionality.
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http://dx.doi.org/10.1016/j.jbi.2019.103203 | DOI Listing |
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFCirculation
January 2025
Divisions of Cardiac Surgery (H.T., A.Q., R.E., R.V., M.M., J.H.C., S.V.), Li Ka Shing Knowledge Institute, St. Michael's Hospital of Unity Health Toronto, Ontario, Canada.
To (1) establish a women's knee health consumer advisory group (CAG) via an evidence-informed process and (2) identify the CAG's research priorities to inform future projects. Mixed-methods priority-setting study. The CAG was established, grounded in a participatory action research approach and using the Patient Engagement in Research Framework, to inform a 4-phase process: (1) understand, (2) plan, (3) undertake, and (4) evaluate.
View Article and Find Full Text PDFPLoS One
January 2025
Nursing Department, Shanxi Mental Health Centre, Taiyuan, China.
Aim: To review the existing literature relating to nurse competence in safe medication management practices for biologics, identify evidence, and develop a competency framework to clarify the role of nurses in these practices.
Background: With the widespread use of biological agents in disease treatment, ensuring the safe and economical use of high-cost medicines is particularly important. Even though nurses are essential in patient care, detailed knowledge regarding their competence and role in the safe administration of biologics is lacking.
Australas J Ageing
March 2025
Department of Geriatric Medicine, Austin Health, Heidelberg, Victoria, Australia.
Objectives: Residential aged care respite clients are vulnerable and prone to poor health-care outcomes. Improvements in the quality of care for this cohort are urgently needed. However, before proposing changes in care models, a nuanced understanding of relevant issues affecting respite care consumers and professionals is required.
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