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在线维修进度查询:今日行业协会更新行业报告,医院推广新技术的策略与实践

随着医疗技术的飞速发展，医院作为医疗服务的主要提供者，面临着激烈的竞争。如何有效地推广新技术，提高医院的知名度和竞争力，成为医院管理者关注的焦点。本文将探讨医院推广新技术的策略与实践，以期为我国医院的发展提供参考。 一、医院推广新技术的策略 1. 明确推广目标 医院在推广新技术前，首先要明确推广目标。这包括提高医院在行业内的知名度、吸引更多患者、提升医疗服务质量等。明确目标有助于医院有针对性地制定推广策略。 2. 深入了解新技术 医院推广新技术前，要深入了解该技术的原理、优势、适用范围等。这有助于医院在推广过程中，向患者和医护人员全面介绍新技术，提高其认可度。 3. 制定合理的推广计划 医院应根据新技术的特点，制定合理的推广计划。推广计划应包括推广时间、推广渠道、推广预算等。同时，要充分考虑患者的需求和医院的实际情况，确保推广计划的可行性。 4. 加强宣传力度 医院可通过多种渠道宣传新技术，如举办学术讲座、发布新闻稿、开展线上线下活动等。宣传内容应突出新技术的优势，提高患者的关注度和信任度。 5. 培训医护人员 医院应加强对医护人员的培训，使其掌握新技术的操作方法和注意事项。这有助于提高医护人员对新技术的熟练程度，为患者提供更优质的医疗服务。 6. 建立良好的口碑 医院在推广新技术过程中，要注重建立良好的口碑。通过优质的服务和良好的治疗效果，让患者口口相传，提高医院的口碑。 二、医院推广新技术的实践 1. 案例一：某医院推广微创手术技术 某医院在推广微创手术技术时，首先明确了推广目标，即提高医院在微创手术领域的知名度和吸引更多患者。医院通过举办学术讲座、发布新闻稿、开展线上线下活动等方式，宣传微创手术技术的优势。同时，加强对医护人员的培训，提高其操作水平。经过一段时间的推广，该医院微创手术患者数量显著增加，医院在微创手术领域的知名度也得到了提升。 2. 案例二：某医院推广人工智能辅助诊断技术 某医院在推广人工智能辅助诊断技术时，首先深入了解该技术的原理和优势。随后，制定合理的推广计划，包括举办学术讲座、发布新闻稿、开展线上线下活动等。同时，加强对医护人员的培训，提高其使用人工智能辅助诊断技术的熟练程度。经过一段时间的推广，该医院在人工智能辅助诊断领域的知名度得到了提升，吸引了更多患者前来就诊。 总之，医院在推广新技术过程中，要注重策略与实践相结合。通过明确推广目标、深入了解新技术、制定合理的推广计划、加强宣传力度、培训医护人员、建立良好的口碑等策略，医院可以有效地推广新技术，提高医院的知名度和竞争力。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co