Artificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be critical to building an infrastructure capable of caring for an increasingly aging population, utilizing an ever-increasing knowledge of disease and options for precision treatments, and combatting workforce shortages and burnout of medical professionals. However, we are not currently on track to create this future. This is in part because the health data needed to train, test, use, and surveil these tools are generally neither standardized nor accessible. There is also universal concern about the ability to monitor health AI tools for changes in performance as they are implemented in new places, used with diverse populations, and over time as health data may change. The Future of Health (FOH), an international community of senior health care leaders, collaborated with the Duke-Margolis Institute for Health Policy to conduct a literature review, expert convening, and consensus-building exercise around this topic. This commentary summarizes the four priority action areas and recommendations for health care organizations and policymakers across the globe that FOH members identified as important for fully realizing AI's potential in health care: improving data quality to power AI, building infrastructure to encourage efficient and trustworthy development and evaluations, sharing data for better AI, and providing incentives to accelerate the progress and impact of AI.
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http://dx.doi.org/10.1038/s41746-024-01097-6 | DOI Listing |
J Eval Clin Pract
February 2025
Akşehir Kadir Yallagöz Health School, Selcuk University, Konya, Türkiye.
Aim: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resuscitation.
Methods: Seventy third-year nursing students from a state university in Türkiye participated in the study. They were split into two groups: the experimental group, which received care plans based on AI, and the control group, which received traditional instruction.
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 Midwifery, Faculty of Health Sciences, Biruni University, Istanbul, Türkiye.
Introduction: The sense of smell is one of the most developed and important senses that forms the bond between the newborn and the mother and allows the newborn to reach the mother's breast. The sense of smell begins to form during intrauterine life, and the sense of smell can be a marking tool for a newborn baby, so that the baby can recognize both his mother and his immediate environment and develop his behaviour accordingly. This is necessary not only for feeding babies but also for them to feel safe and peaceful in their new environment.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
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.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Instituto Mexicano del Seguro Social, IMSS Hospital General de Zona Número 17, Monterrey, Nuevo León, México.
Introduction: Rheumatoid arthritis (RA) is a progressive autoimmune inflammatory disease. According to the European League Against Rheumatism (EULAR), the stages of RA progression include pre-RA, preclinical RA, inflammatory arthralgia, arthralgia with positive antibodies, arthralgia suspected of progressing to RA, undifferentiated arthritis and finally established RA. According to the Community Oriented Program for Control of Rheumatic Diseases (COPCORD), the prevalence of RA in Mexico is 1.
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