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大型医疗机构如何利用 Oracle AI 处理超过 20 亿份医疗记录 [LRN3262].pdf

上传人: Fl****zo 编号:971082 2025-11-08 39页 1.96MB

1、 LRN3262 How a Large Healthcare Provider Processes Over 2B Medical Records with Oracle AIPresentersJim Brull,Founder,CentroidJacob Beasley,Director of DevOps,CentroidGuy Fogel,Sr.Principal Product Manager,OCIForward-Looking statementsThis presentation is intended to outline our general product direc

2、tion.It is intended for information purposes only,and may not be incorporated into any contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionalit

3、y described for Oracles products may change and remains at the sole discretion of Oracle Corporation.Statements in this presentation relating to Oracles future plans,expectations,beliefs,intentions,and prospects are“forward-looking statements”and are subject to material risks and uncertainties.A det

4、ailed discussion of these factors and other risks that affect our business is contained in Oracles Securities and Exchange Commission(SEC)filings,including our most recent reports on Form 10-K and Form 10-Q under the heading“Risk Factors.”These filings are available on the SECs website or on Oracles

5、 website at https:/ information in this presentation is current as of October 2025 and Oracle undertakes no duty to update any statement in light of new information or future events.Some regulatory certifications or registrations to products or services referenced herein are held by Cerner Corporati

6、on.Cerner Corporation is a wholly owned subsidiary of Oracle.Cerner Corporation is an ONC-certified health IT developer and a registered medical device manufacturer in the United States and other jurisdictions worldwide.2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Hi

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根据报告的内容,全文主要内容概括如下: - **挑战与目标**:医疗保健提供商面临处理超过20亿份医疗记录的挑战,目标是将其转换为准确的机器可读记录。 - **技术挑战**:包括处理大量页面、内存限制、文件大小和性能问题。 - **解决方案**:采用Oracle AIP和OCI技术,通过优化OCR处理、内存管理、文件大小和性能来克服挑战。 - **关键数据**:处理速度从每秒15页提升到每秒100页,并发文件数从50增加到225。 - **成果**:成功处理了大量医疗记录,提高了效率和准确性。 - **关键点**: - 处理速度提升至每秒100页。 - 并发文件数从50增加到225。 - 成功处理超过20亿份医疗记录。
"AI医疗记录处理挑战" "如何处理海量医疗文档?" "医疗AI解决方案揭秘!"
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