藥物轉用監視 (2023年):新的先進功能的有希望看待化

藥物轉移監測是幫助醫療機構提高病患安全、防止藥物浪費和濫用的關鍵領域。第二代藥物轉移監測解決方案利用預測模型、人工智慧 (AI) 和機器學習 (ML)，使用者正在開始使用查看諸如正確識別風險、減少誤報和提高效率等成果。該報告研究了哪些供應商正在推動成果、先進的AI/ML 功能如何影響使用者體驗，以及供應商與客戶的合作和支援程度如何。

目錄

• (1) 執行見解
• (2) 客戶的採訪 (詳細內容)

Drug diversion monitoring is a key area that helps healthcare organizations improve patient safety and prevent drug waste and misuse. The second generation of drug diversion monitoring solutions utilizes predictive models, artificial intelligence (AI), and machine learning (ML), and users are beginning to see outcomes such as correctly identified risks, reduced false positives, and increased efficiency. This report examines which vendors are driving outcomes, how advanced AI/ML capabilities are impacting the user experience, and how well vendors partner with and support customers.

Table of Contents

• 1) Executive Insights

• 2) Customer Interview Details