药物转用监视 (2023年):新的先进功能的有希望看待化

药物转移监测是帮助医疗机构提高病患安全、防止药物浪费和滥用的关键领域。第二代药物转移监测解决方案利用预测模型、人工智慧 (AI) 和机器学习 (ML)，使用者正在开始使用查看诸如正确识别风险、减少误报和提高效率等成果。该报告研究了哪些供应商正在推动成果、先进的AI/ML 功能如何影响使用者体验，以及供应商与客户的合作和支援程度如何。

目录

• (1) 执行见解
• (2) 客户的采访 (详细内容)

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