Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

By R. Kaushal, K. Shojania, David W. Bates. Archives of Internal Medicine, 2003

1,482 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Geriatrics and Gerontology, Health Information Management

View Paper: https://www.semanticscholar.org/paper/2ad790896bb503c48c10b0548998e46a20ce5b10

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In Emergency Medical Services

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Citations in the corpus

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine (2020, background): “ML is becoming the transformational force in healthcare (89) for guiding individual and population health with several computational benefits, which includes realtime patient monitoring; disease patterns analysis (90); disease diagnosis and prescription of medicines; patientcentric care provision wi”
The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview (2011, background): “Our final selection of 53 reviews provided the main empirical evidence base in relation to assessing the impact of the selected eHealth technologies (see Table 1 for our critical appraisal of these studies) [15–67], full details of which can be found in Table S2.”
The Effect of Computerized Physician Order Entry with Clinical Decision Support on the Rates of Adverse Drug Events: A Systematic Review (2008, background): “Our results are similar to a previous systematic review, which concluded that more research was needed to evaluate commercially sold CPOE systems.(3) Knowing more about the benefit of commercially developed CPOE/CDS systems will be increasingly important for health care settings planning to select a”
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care (2006, neutral): “However, they have been limited to specific systems, such as computerized provider order entry (98); capabilities, such as computerized reminders (99, 100); or clinical specialty (101).”
Some Unintended Consequences of Clinical Decision Support Systems (2007, positive): “Together, CPOE and CDS can decrease medical errors [4,5] and improve hospital efficiency [6] and practitioner performance [7].”
High rates of adverse drug events in a highly computerized hospital. (2005, neutral): “Blood glucose regulators (n = 26), in 5% of ADEs 1 (4)§ 4 (15) 4 (15) 15 (58)‡ 2 (8) 8 (31)”
FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data (2018, background): “Data sharing helps improve diagnostic accuracy [2] by gathering confirmations or recommendations from a group of medical experts, as well as preventing inadequacies [3] and errors in treatment plan and medication [4, 5].”
Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, background): “Case studies have identified increased pathogen susceptibility to selected antimicrobial agents, decreased rates of adverse drug effects, toxic drug levels, and bleeding events on patients taking anti-coagulants [33].”
Role of computerized physician order entry systems in facilitating medication errors. (2005, methodology): “Perhaps CPOE-facilitated error risks received limited attention because the methodologies and foci of previous studies addressed CPOE’s role in error reduction(2,3,6-11,14-16,42) and seldom its role in error facilitation.(21,26-28,31,32,45) One key study(27) examined errors but was entirely qualitat”