The article by Palen et al in this issue of theis an important contribution to the literatureon healthcare information technology(IT). 1 First, it is one of the few studies of a decision supportsystem ...
We review the extent and functionality of computerized physician order entry (CPOE) systems in seven Western countries. We compare nations’ implementation levels; linkages with other health care ...
DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Computerized Physician Order Entry (CPOE) Systems - Global Strategic Business Report" report to their offering. The ...
In its landmark reports on quality of medical care, [1,2] the Institute of Medicine brought attention to the frequency of errors in medicine, and offered several clear suggestions for how we might ...
During 9 months of configuration effort, 30 medical logic modules and 110 order sets were developed to support pediatric oncology. The proportion of chemotherapy orders submitted using specific ...
The guiding principle of CPOE systems is that they allow physician orders to be easily tracked and hence ensure improved patient care. However, a series of recent articles and insight from users of ...
Background: Errors involving medication use are common. Computerized physician order entry (CPOE) can improve prescribing practices. Few studies have examined the effect of CPOE in combination with ...
Effect of an Electronic Health Record on the Culture of an Outpatient Medical Oncology Practice in a Four-Hospital Integrated Health Care System: 5-Year Experience This study is a retrospective chart ...
A study conducted by University of Pennsylvania researchers assessed the effectiveness of using a computerized physician order entry system to reduce orders for anticoagulant medication warfarin in ...
Although the concept of evidence-based order sets was introduced many years ago, healthcare providers are moving toward adopting evidence-based order sets in increasing numbers and integrating such ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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