Clinical Decision Support Systems

被引：9
|
作者：
Teufel, Andreas [1 ,2 ]
Binder, Harald [3 ,4 ]
机构：
[1] Heidelberg Univ, Med Fac Mannheim, Univ Med Ctr Mannheim, Dept Med 2,Sect Hepatol, Mannheim, Germany
[2] Heidelberg Univ, Med Fac Mannheim, Ctr Prevent Med & Digital Hlth Baden Wurttemberg, Clin Cooperat Unit Hlth Metab, Mannheim, Germany
[3] Univ Freiburg, Fac Med, Inst Med Biometry & Stat IMBI, Freiburg, Germany
[4] Univ Freiburg, Med Ctr, Freiburg, Germany
来源：
VISCERAL MEDICINE | 2021年 / 37卷 / 06期
关键词：
Clinical decision support systems; Artificial intelligence; Knowledge-based system; Gastroenterology; Hepatology; Endoscopy; Digital medicine; COMPUTER-ASSISTED DIAGNOSIS; BREAST-CANCER; ARTIFICIAL-INTELLIGENCE; COST-EFFECTIVENESS; MANAGEMENT; IMPLEMENTATION; DOCUMENTATION; INFORMATION; PATHWAY; PAPER;
D O I：
10.1159/000519420
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
Background: By combining up-to-date medical knowledge and steadily increasing patient data, a new level of medical care can emerge. Summary and Key Messages: Clinical decision support systems (CDSSs) are an arising solution to handling rich data and providing them to health care providers in order to improve diagnosis and treatment. However, despite promising examples in many areas, substantial evidence for a thorough benefit of these support solutions is lacking. This may be due to a lack of general frameworks and diverse health systems around the globe. We therefore summarize the current status of CDSSs in medicine but also discuss potential limitations that need to be overcome in order to further foster future development and acceptance.
引用
收藏
页码：491 / 498
页数：7
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