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  • 标题:Developing a Scalable, Cross-Facility-Based Therapeutic Decision Reminder Engine
  • 本地全文:下载
  • 作者:Cheng-Yi Yang ; Ming-Chieh Tsai ; Ray-Jade Chen
  • 期刊名称:Lecture Notes in Engineering and Computer Science
  • 印刷版ISSN:2078-0958
  • 电子版ISSN:2078-0966
  • 出版年度:2016
  • 卷号:2225&2226
  • 页码:201-207
  • 出版社:Newswood and International Association of Engineers
  • 摘要:Medication errors are expensive and sometimes costly to healthcare systems, patients and their families, and clinicians . The National Health Insurance of Taiwan provided a NHI-PharmaCloud web-based database that contains the most complete drug histories of patients across different healthcare facilities in Taiwan. Several research studies have reported that adoption of a m (CPOE) with ort (CDS) functio medication errors ew drugs and drug- related knowledge are being quickly and frequently released. Thus, the same pharmacological mechanism of different drugs can be hard to detect; furthermore, there is a lack of Therefore, prevention of medication errors remains difficult for the clinical staff. To flexibly add more checking rules and improve drug-use safety among patients, we developed a scalable, expandable decision reminder solution (Therapeutic Decision Reminder Engine; TDRE) based on the NHI-PharmaCloud in the Taipei Medical University Hospital, which would support the clinical staff and more efficiently prevent medication errors. In addition, to ensure an effective TDRE performance in future implementations, we also conducted load testing to determine the maximum workload that TDRE could support. The test results showed that TDRE was effective and able to support our expected service quantity.
  • 关键词:NHI-PharmaCloud; CPOE; CDS; medication ; errors; load testing
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