Identification of Patient Safety Risks Associated with Electronic Health Records: A Software Quality Perspective.
Although Electronic Health Records (EHR) can offer benefits to the health care process, there is a growing body of evidence that these systems can also incur risks to patient safety when developed or used improperly. This work is a literature review to identify these risks from a software quality perspective. Therefore, the risks were classified based on the ISO/IEC 25010 software quality model. The risks identified were related mainly to the characteristics of "functional suitability" (i.e., software bugs) and "usability" (i.e., interface prone to user error). This work elucidates the fact that EHR quality problems can adversely affect patient safety, resulting in errors such as incorrect patient identification, incorrect calculation of medication dosages, and lack of access to patient data. Therefore, the risks presented here provide the basis for developers and EHR regulating bodies to pay attention to the quality aspects of these systems that can result in patient harm.
School of Electrical Engineering and Computation, University of Campinas, Campinas, SP, Brazil.
Luiz A
LA
Virginio
School of Technology, University of Campinas, Limeira, SP, Brazil.
Ivan Luiz Marques
IL
Ricarte
D000068598:Data Accuracy; D057225:Data Mining / Q000706:statistics & numerical data*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D006801:Humans; D062527:Meaningful Use / Q000706:statistics & numerical data*; D019300:Medical Errors / Q000517:prevention & control / Q000706:statistics & numerical data*; D061214:Patient Safety / Q000706:statistics & numerical data*