AI in Healthcare: Transforming Patient Care in Hospital Settings

Volume: 9    Issue: 2

Year of Publication: 2023

Pages: (42-47)

Authors: Wasim Fathima Shah

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Abstract

Smart hospitals, utilizing advanced technologies, seek to transform patient care, make processes more efficient, and better use resources. Artificial Intelligence (AI) is pivotal in transitioning traditional health centers into smart, adaptive environments. This article delves into how AI is used in such hospitals, emphasizing its role in elevating patient care, streamlining operations, and championing a patient-focused model. AI in these settings covers areas like medical imaging, diagnostics, predictive insights, patient interaction, and aiding clinical decisions. For instance, AI tools for diagnosis have shown impressive precision in pinpointing issues quickly through various imaging techniques. Predictive tools help track disease trends, streamline clinical tasks, and predict potential future hospital visits, leading to more tailored patient care. Additionally, AI promotes patient involvement via tools like virtual aides, chatbots, and distant health monitoring, enabling people to have more control over their health. Merging AI with clinical decision-making tools supports medical professionals in making informed decisions, leading to better patient results. However, using AI in this context also brings forth challenges related to data security, potential biases, regulatory adherence, and the necessity for cross-disciplinary teamwork. This article underscores the need to tackle these hurdles for an ethical and accountable application of AI in health environments. To conclude, infusing AI into smart hospitals can significantly reshape healthcare, leading to more personalized, data-informed, and efficient patient care. As AI progresses, its union with human expertise is set to usher in a new intelligent healthcare era, promising better patient experiences, improved results, and ultimately, a healthier global community.

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Keywords

Artificial Intelligence (AI), Smart Hospitals, Health Sector Evolution, Patient-Focused Care, Predictive Insights.