Near-Term Digital Health Predictions: A Glimpse into Tomorrow’s AI-driven Healthcare

Sarah Bell, RN, MSN, MHA, Calvin D. Lawrence, MSc, Seth Dobrin, PhD, William Cherniak, MD MPH CCFP(EM) DABFM, Dr. Fernando De La Peña Llaca, PhD, MSc, Jefferson G. Fernandes, MD, MSc, PhD, MBA, Aditi U. Joshi MD, MSc, FACEP, Bilal Naved MD PhD (Candidate), Geoffrey Rutledge, MD,PhD, FACMI
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Abstract

Healthcare is rapidly evolving, particularly in the realm of digital health. When we consider the future of digital healthcare, it is impossible to ignore the vast potential of artificial intelligence (AI) and the profound impact it will have on the healthcare industry. This momentum of change has accelerated, particularly since the onset of the COVID-19 pandemic, and is largely attributable to workforce shortages and an increased demand for healthcare services. These circumstances have given rise to a unique scenario, compelling health-care to harness AI for various applications.The integration of AI in healthcare necessitates a comprehensive and rigorous approach to ensure accuracy and safety, acknowledging the inherent risks to patient care and safety when used improperly. When imple-menting care models that rely on AI for decision-making, it is imperative to establish meticulous workflows that emphasize human guidance in model development and allow models to adapt and learn from input data. In addition to prioritizing accuracy and safety, equal emphasis should be placed on the implementation of robust measures to protect patients from potential cybersecurity threats posed by data breaches. AI’s advantages extend beyond healthcare institutions, as patients will also experience a transformation in the way they receive care. Harnessing AI will empower patients to establish stronger connections with their health data and gain access to unique insights that are not readily available in traditional care models. These enhanced connections will enable patients to collaborate more effectively with their healthcare teams and receive care that is tailored to their specific needs.
近期数字医疗预测:未来人工智能驱动的医疗保健一瞥
医疗保健正在迅速发展,尤其是在数字医疗领域。当我们考虑数字医疗的未来时,不可能忽视人工智能(AI)的巨大潜力及其对医疗行业的深远影响。尤其是在 COVID-19 大流行之后,这种变革的势头已经加速,这在很大程度上归因于劳动力的短缺和医疗保健服务需求的增加。这些情况催生了一种独特的情景,迫使医疗保健行业利用人工智能进行各种应用。将人工智能融入医疗保健行业需要采取全面、严格的方法来确保准确性和安全性,同时要认识到使用不当会给患者护理和安全带来固有风险。在实施依赖人工智能进行决策的护理模型时,必须建立缜密的工作流程,在模型开发过程中强调人为指导,并允许模型适应和学习输入数据。除了优先考虑准确性和安全性外,还应同样重视实施强有力的措施,以保护患者免受数据泄露带来的潜在网络安全威胁。人工智能的优势不仅限于医疗机构,患者也将经历接受医疗服务方式的转变。利用人工智能,患者将有能力与其健康数据建立更紧密的联系,并获得传统医疗模式中无法获得的独特见解。这些增强的连接将使患者能够更有效地与他们的医疗团队合作,并获得符合其特定需求的医疗服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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