Role of computerized physician order entry systems in facilitating medication errors.

By J. Smith. Journal of Urology, 2005

913 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Health Information Management, Pharmacy

View Paper: https://www.semanticscholar.org/paper/8bc4c412c773296f2229fc754bb476b342c3bd0d

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Citations in the corpus

Clinical information technologies and inpatient outcomes: a multiple hospital study. (2009, background): “”(20) For example, previous studies have raised concerns that problems in information representation within computerized order entry systems could facilitate errors.(21,22) We found no relationship beTable 4.”
Automation bias: a systematic review of frequency, effect mediators, and mitigators (2012, background): “Indeed, the implementation of interventions such as CDSS can actually introduce new errors.(6) However, AB has not previously been properly defined or examined; the negative effects need investigation particularly in the healthcare field, where decision errors can have severe consequences.”
Artificial intelligence, bias and clinical safety (2019, neutral): “15 16 Rules-based systems have also been developed to address diagnostic uncertainty 17–19 but have struggled to deal with the breadth and variety of information involved in the typical diagnostic process, a problem for which ML systems are potentially better suited.”
Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals (2010, background): “Furthermore, some argue that the benefits of HIT in general and EMRs in particular have yet to be proven and that there are unintended consequences with its use (Ash et al. 2004, Chaudhry et al. 2006, Koppel et al. 2005, Wachter 2006).”
Information security and privacy in healthcare: current state of research (2010, methodology): “…from fragmented data and disconnects between CPOE and other information systems 2 errors arising from the human–machine interfaces that do not reflect conventional behaviour and the decision-making processes of healthcare professionals (Han et al., 2005; Koppel et al., 2005; Walsh et al., 2006).”
Experience-based design: from redesigning the system around the patient to co-designing services with the patient (2006, background): “a designer, who recently reviewed a study published in JAMA.”
Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. (2007, background): “Progress to this end, however, remains slow, with only 13% of US hospitals converting to electronic medical records and 5% implementing CPOE as of 2002 [139, 140].”
Research Paper: Types of Unintended Consequences Related to Computerized Provider Order Entry (2006, background): “Yet, several studies indicate that unpredictable, emergent problems, or unintended adverse consequences (UACs) can surround CPOE implementation and maintenance.(4,5) Careful identification, description, and categorization of UACs can provide insight into the unexpected outcomes of placing CPOE syste”
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care (2006, neutral): “, Boca Raton, Florida) in facilitating medication prescribing errors (91).”