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ㆍ 제목 Implementing computerized provider order entry in acute care hospitals in the United States could generate substantial savings to society
ㆍ 조회수 2672 ㆍ 등록일시 2015-08-06
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Implementing computerized provider order entry in acute care hospitals in the United States could generate substantial savings to society

 2015;41(8):341-1.

Abstract

BACKGROUND: 

Computerized provider order entry (CPOE) with clinical decision support is a basic criterion for hospitals' meaningful use of electronic health record systems. A study was conducted to evaluate from the societal perspective the cost-utility of implementing CPOE in acute care hospitals in the United States.

METHODS: 

A decision-analytical model compared CPOE with paper ordering among patients admitted to acute care hospitals with > 25 beds. Parameters included start-up and maintenance costs, as well as costs for provider time use, medication and laboratory test ordering, and preventable adverse drug events. Probabilistic analyses produced incremental costs, effectiveness, and cost-effectiveness ratios for hospitals in four bed-size categories (25-72, 72-141, 141-267, 267-2,249).

RESULTS: 

Relative to paper ordering and using typical estimates of implementation costs, CPOE had, on average, > 99% probability of yielding savings to society and improving health. Per hospital in each size category, mean life-time savings -in millions-were $11.6 (standard deviation, $9.30), $34.4 ($21.2), $71.8 ($43.8), and $170 ($119) (2012 dollars), respectively, and quality-adjusted life-years (QALYs) gained were 19.9 (16.9), 53.7 (38.7), 109 (79.6), and 249 (205). Incremental effectiveness and costs were less favorable in certain circumstances, such as high implementation costs. Nationwide, anticipated increases in CPOE implementation from 2009 through 2015 could save $133 billion and 201,000 QALYs.

CONCLUSIONS: 

In addition to improving health, implementing CPOE with clinical decision support could yield substantial long-term savings to society in the United States, although results for individual hospitals are likely to vary.


http://www.ncbi.nlm.nih.gov/pubmed/26215523

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