Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of several user health-related parameters, making them a powerful tool for a new medicine approach for these patients. Our proposed system, described in this article, aims to develop innovative solutions based on artificial intelligence techniques to empower patients with cardiovascular disease. These solutions will realize a novel 5P (Predictive, Preventive, Participatory, Personalized, and Precision) medicine approach by providing patients with personalized plans for treatment and increasing their ability for self-monitoring. Such capabilities will be derived by learning algorithms from physiological data and behavioral information, collected using wearables and smart devices worn by patients with health conditions. Further, developing an innovative system of smart algorithms will also focus on providing monitoring techniques, predicting extreme events, generating alarms with varying health parameters, and offering opportunities to maintain active engagement of patients in the healthcare process by promoting the adoption of healthy behaviors and well-being outcomes. The multiple features of this future system will increase the quality of life for cardiovascular diseases patients and provide seamless contact with a healthcare professional.
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http://dx.doi.org/10.3390/s21216986 | DOI Listing |
J Eval Clin Pract
February 2025
Centre for Health Care Management, Faculty of Management, University of Warsaw, Warsaw, Poland.
Intro: The article tests the hypothesis that we can draw practical knowledge from the experience of service providers operating in the past. The research questions were formulated: can the historical example of the organization of medical care in the Polish Children's Hospital named after Karol and Maria be used as a viable example today? Is it relevant for contemporary practitioners? And do we still use the knowledge of predecessors? The authors decided to use the interwar Hospital and an operating paediatric ward of the Child-Friendly Hospital for a comparative analysis.
Methods: The model of the European Regional Office of the World Health Organization for integrated delivery of health services was adopted as the analysis framework.
J Eval Clin Pract
February 2025
Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
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Initiative for Slow Medicine, Berkeley, California, USA.
Appropriate patient reassurance is an essential feature of clinical practice. My recent experience as a patient, interpreted via my expertise as a health services researcher, led me to insights on ideal and suboptimal reassurance styles in the context of worrisome symptoms. Reassurance is complex: often poorly defined in the scientific literature, rarely rigorously studied, imperfectly understood, and requiring some adaptation to each patient situation.
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School of Chemistry, Faculty of Engineering and Physical Sciences, University of Southampton, Life Sciences Building 85, University Road, Highfield, Southampton, SO17 1BJ, UK.
Osteoarthritis (OA) is a complex disease of cartilage characterised by joint pain, functional limitation, and reduced quality of life with affected joint movement leading to pain and limited mobility. Current methods to diagnose OA are predominantly limited to X-ray, MRI and invasive joint fluid analysis, all of which lack chemical or molecular specificity and are limited to detection of the disease at later stages. A rapid minimally invasive and non-destructive approach to disease diagnosis is a critical unmet need.
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