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3 articles for “EHRs”
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Improving Healthcare Outcomes with RF-enabled Health Information Systems
Abstract: Health Information Technology (HIT) plays a crucial role in improving healthcare by making medical data more accessible, accurate, and efficient. Using radio frequency (RF) technology, HIT enables the wireless sharing of important health information—like patient records, and treatments—between patients, doctors, and other healthcare providers. This helps reduce paperwork, cut costs, and improve the quality of care. By reducing the reliance on paper-based records, RF-based HIT helps streamline administrative processes, cut …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 8–13 Read article
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Facilitated Deferred Transmmission a Risk to Public Health of Globalization and Intercountry Adoptions of Pets
Abstract: Increased temperatures due to climate change may be facilitating that arthropods vectors of zoonotic diseases rapidly colonize new territories. 6472 dogs have been selected to check main Mediterraneum zoonotic vector-borne, two transmitted by fly bites, Leishmaniasis and Dirofilariasis, and tree transmitted by ticks, Ehrlichiosis, Anaplasmosis, and Babesiosis through IFA, ELISA, PCR and microscopy tests and calculate the ratio of this diseases hosts as well the destinations in north of Europe …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 21–26 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article