期刊
DIAGNOSTICS
卷 11, 期 7, 页码 -出版社
MDPI
DOI: 10.3390/diagnostics11071141
关键词
pre-analytical phase; overutilization; underutilization; appropriate laboratory test ordering
Inappropriate laboratory test selection, whether due to overutilization or underutilization, is a common problem despite available guidelines. Laboratory specialists and clinicians agree that demand management strategies, often based on automated algorithms or machine learning, are valuable tools to address this issue. Artificial intelligence may play a key role in enhancing these tools further.
Inappropriate laboratory test selection in the form of overutilization as well as underutilization frequently occurs despite available guidelines. There is broad approval among laboratory specialists as well as clinicians that demand management strategies are useful tools to avoid this issue. Most of these tools are based on automated algorithms or other types of machine learning. This review summarizes the available demand management strategies that may be adopted to local settings. We believe that artificial intelligence may help to further improve these available tools.
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