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普华永道(PwC):2025生成式AI对印度医疗生态系统的影响研究报告(英文版)(48页).pdf

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1、March 2024Indian healthcare ecosystem Understanding theimpact of GenAI on thePwC|Understanding the impact of GenAI on the Indian healthcare ecosystemMarch 2024|Messages from PwC2Generative artificial intelligence(GenAI)could revolutionise healthcare in unprecedented ways as stakeholders develop more

2、 efficient and scalable digital health systems a survival strategy for business.AI is driving the transformation of the healthcare industry into a phygital human-centred ecosystem at a rapid pace,with a focus on patients,clinicians and administrative personnel.In recent years,it has found applicatio

3、n in areas such as imaging,radiology and precision medicine as well as the mapping of much-needed evidence-based clinical pathways.For healthcare to be future ready while rethinking value-based offerings and reinventing business models,there needs to be a paradigm shift in clinical recommendation an

4、d digitisation of contact centres and patient interaction.GenAI has proved to be an enabler for the same.From generating a discharge summary in the patients native language to providing clinical notes in real time,GenAIs potential will drive better patient experience,enhanced productivity and optimi

5、sed administration effort.As industries gear up for change with the rapid adoption of GenAI in their day-to-day operations,the Indian healthcare sector is at the forefront of this trend with the development of new service models for inclusive growth and a focus on essential governance needed to hand

6、le nuances such as safety,security and regulations.In this paper,we have charted the opportunities GenAI presents and the challenges that need to be overcome to make the implementation of this technology more holistic and comprehensive.Arnab BasuAdvisory LeaderPwC IndiaPwC|Understanding the impact o

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本文主要探讨了生成性人工智能(GenAI)在印度医疗保健生态系统中的影响。GenAI具有改变医疗保健行业的潜力,包括提高效率、改善患者体验和优化行政工作。文章指出,GenAI市场预计到2024年将达到118亿美元,并预计到2030年将增长到420亿美元。在印度,从2021年到2023年,GenAI初创公司的数量翻了一番多,预计到2030年市场规模将达到42亿美元。然而,数据隐私问题、技术基础设施不足和GenAI在医疗保健领域的实施成本是印度需要解决的问题。文章还强调了GenAI在医疗保健领域的潜在应用,包括个性化治疗计划、患者教育、早期疾病识别和跟踪、简化临床文档、分析科学文献以识别模式、支持临床决策等。同时,文章也指出了GenAI可能带来的风险,如错误信息、歧视、隐私侵犯、滥用、社会影响、安全风险、问责制和透明度不足等,并提出了相应的治理框架。
印度医疗保健生态系统中生成式人工智能的影响是什么? 生成式人工智能在医疗保健中的潜在应用有哪些? 生成式人工智能在医疗保健中面临哪些挑战和风险?
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