Medication-related clinical decision support in computerized provider order entry systems: a review.

By G. Kuperman, A. Bobb, T. Payne, A. Avery, T. Gandhi, Gerard Burns, D. Classen, David W. Bates. JAMIA Journal of the American Medical Informatics Association, 2007

784 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/abdf9538f96b5ebf80b419a6c8e03a5291e49b83

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In Health Information Management

1. Parisa Rashidi
2. Benjamin Shickel
3. Patrick James Tighe
4. Azra Bihorac

Citations in the corpus

• Normalized names for clinical drugs: RxNorm at 6 years (2011, background): “For example, drugedrug interaction checking or drugeallergy checking can improve patient safety and lower medication-related cost when combined with computerized provider order entry (CPOE), but it may result in excessive alerting and disrupt clinical workflow.(15)”
• The Effect of Computerized Physician Order Entry with Clinical Decision Support on the Rates of Adverse Drug Events: A Systematic Review (2008, methodology): “, drug dosing support for renal insufficiency) guidance to the prescriber.(8) The implementation of CPOE with CDS can be a challenging process necessitating careful planning, pilot-testing, and training, as well as appropriate policy and process changes, sufficient infrastructure, and continuous upd”
• The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis (2014, background): “We used this strategy to search the eight databases for systematic reviews of CPOE or CDSS that might contain potentially relevant primary studies (last updated September 23, 2013) (Figure 1).”
• Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, background): “…order entry, drug allergy checking, and determining whether a drug choice and dose is unusual in the context of a specific diagnosis are currently used to prevent errors in pharmaceutical dosing, drug-drug interactions, drug-pregnancy interactions, and other medication-related parameters [32].”
• Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis (2017, methodology): “In particular, the patient data contained in EHR systems has been used for such tasks as medical concept extraction [7], [8], patient trajectory modeling [9], disease inference [10], [11], clinical decision support systems [12], and more (Table I).”
• Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system (2017, background): “Integrating CDSS into electronic health records (EHRs) allows medication information to be combined with patient information to create alerts about drug-drug interactions, drug allergy contraindications, and other important situations [3].”
• Review Paper: The Effect of Electronic Prescribing on Medication Errors and Adverse Drug Events: A Systematic Review (2008, background): “It seems obvious that the quality of the implementation process has an impact on the success of a CPOE implementation.(63) Insufficient implementation planning, or systems that are not integrated into the general information systems, may lead to negative effects on the process and even the outcome o”