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Category: Industries

定年後も地元の病院に通えるか : 受付の裏側で進む、生き残りをかけた生成 AI の活用推進

本記事を読んでいる方の多くは、病院の待ち時間に悩んだことがあるのではないでしょうか。その一方で、全国の外来患者数は 2025 年にピークを迎えると見込まれており、214 の医療圏では 2020 年ですでにピークアウトしていると見込まれています。待ち時間が減るのは患者にとって良いかもしれませんが、病院にとっては直接的な収入減となり、働き方改革等による人件費増、物価・エネルギー価格高騰も重なり 42 国立大学病院のうち 32 病院が赤字と報告されています。つまり、あなたが定年後しばしば病院のお世話になる時、地元の病院が頼れるかは予断を許さない状況ということです。

2024/11/21 から 24 にかけて開催された医療情報学連合大会では、待ったなしの病院の業務・経営改革について各病院の医療情報研究者や実務担当者より多くの発表がありました。AWS もブースの出展やスポンサーセミナーなどを開催させていただきました。本記事では当日講演頂いた恵寿総合病院様、東京大学医学部付属病院様による待ったなしの経営・業務改革を生成 AI を活用し推進されている事例をを中心にご紹介します。

Figure 1. Offload IT infrastructure operations to AWS by utilizing AWS managed services

Contribution: Introduction of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. (Part 3) — Second half

This article is the third of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. We received a contribution from Mr. Yasuo Matsuura, an executive officer. The introduction will be divided into 2 parts: the first half and the second half. This article is the second half of that.

Figure 3. IaC Benefits on AWS

Contribution: Introduction of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. (Part 3) — First half

This article is the third of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. We received a contribution from Mr. Yasuo Matsuura, an executive officer. The introduction will be divided into 2 parts: the first half and the second half. This article is the first half of that.

Figure 8. Role and responsibility base on AWS shared responsibility model

Contribution: Introduction of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. (Part 2) — Second half

This article is the second half of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. We received a contribution from Mr. Yasuo Matsuura, an executive officer. The introduction will be divided into 2 parts: the first half and the second half.

Figure 2. Implementation image of loose coupling in our smart meter system

Contribution: Introduction of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. (Part 2) — First half

This article is the first half of the second efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. We received a contribution from Mr. Yasuo Matsuura, an executive officer. The introduction will be divided into 2 parts: the first half and the second half. This article is the first half of that.

Figure 3. The direction of our smart meter system development

Contribution: Introduction of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution Inc. (Second half)

This article was contributed by Mr. Yasuo Matsuura, an executive officer, efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution Inc. The introduction will be divided into 2 parts: the first half and the second half. This article is the second half of that.

Figure 3 Full Cloud Transition of Current and next-generation system

Contribution: Introduction of efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution, Inc. (First half)

This article was contributed by Mr. Yasuo Matsuura, an executive officer, efforts aimed at cloud adoption of smart meter systems by Kansai Transmission and Distribution Inc. The introduction will be divided into 2 parts: The first half and the second half. This article is the first half of that.

味の素食品株式会社の AWS 事例「Amazon Rekognition を用いた製品の賞味期限検出システム」のご紹介

本ブログは、味の素食品株式会社と Amazon Web Services Japan が共同で執筆しました。
同社では製品の写真から自動で賞味期限を読み取る機能を実装しました。これにより、工程管理における賞味期限印字の正誤確認 (指図通りの賞味期限を印字しているか) の作業品質の向上と作業負荷軽減を実現しています。この機能を実現するための Amazon Rekognition をはじめとしたサービスを活用した事例を紹介いたします。

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