Google Cloud 醫療照護與生命科學解決方案

推動資料導向革新、改變病患與照護者的體驗,並提升整個機構的營運效率。
運用 Google Cloud 生成式 AI 改善回應式病患服務
給高階主管的生成式 AI 指南
生成式 AI 是史上最重大的技術革新之一

開始運用生成式 AI

歡迎下載指南,瞭解什麼是生成式 AI、預期可實現的商業價值,以及向 Google Cloud 的 AI 專家請教最佳做法。此外,我們也會深入探討各產業採用生成式 AI 的先驅。

選用 Google Cloud 醫療照護與生命科學解決方案的理由
聽診器

持續為病患提供安全的照護服務

充分發揮臨床資料的價值,將病患在醫療體系內所有接觸點留下的資料,整合成縱貫性記錄。


“Google Cloud's tools have the potential to unlock sources of information that typically aren't searchable in a conventional manner, or are difficult to access or interpret.... Accessing insights more quickly and easily could drive more cures, create more connections with patients, and transform healthcare.”

Cris Ross, CIO, Mayo Clinic

聽診器

持續為病患提供安全的照護服務

充分發揮臨床資料的價值,將病患在醫療體系內所有接觸點留下的資料,整合成縱貫性記錄。


“Google Cloud's tools have the potential to unlock sources of information that typically aren't searchable in a conventional manner, or are difficult to access or interpret.... Accessing insights more quickly and easily could drive more cures, create more connections with patients, and transform healthcare.”

Cris Ross, CIO, Mayo Clinic

醫療注意事項

根據資料做出營運決策

充分發揮理賠和臨床資料的價值,取得洞察資料來提高效率、促進相關人員參與及提升健康成果,並發掘更多成長契機。


“What sets Google Cloud apart is their commitment not only to technical capabilities but also to connecting the healthcare ecosystem through interoperability and using open standards.”

Lisa Davis, SVP and CIO, Blue Shield of California

研究圖示

加快藥物探索和精確醫療發展的速度

藉助 AI 技術輔助解決方案和高效能運算,大規模強化工作負載效能,以及提升藥物探索、開發、製造和行銷方面的成效。


“Bayer’s aspiration to be among the leading innovators drives us to continue to invest in novel and disruptive technologies to solve complex problems. Partnering with Google Cloud on TPU-powered quantum chemistry complements our ambition to work with industry leaders and experts to quickly deliver on digital transformation.”

Bijoy Sagar, Chief Information and Digital Transformation Officer, Bayer AG

Pacemaker

改善作業效率並縮短上市時間

透過資料導向的解決方案和服務,提高作業效率及建立以病患為主的成長模型,讓自家品牌脫穎而出。


“By complementing our expertise in diagnostics and AI with Google Cloud's expertise in AI, deep learning, and their cloud-based technologies for imaging storage, we're evolving our market-leading technology to improve cervical cancer diagnostics.”

Michael Quick, Vice President of Research and Development / Innovation, Hologic