Carter, Alexis B.

Context.— Complexity of ordering and transfusing blood is particularly evident in the pediatric population. Simplification, clarification, and standardization of blood orders can decrease complexity and improve patient safety. Objective.— To improve patient safety by optimizing electronic ordering of blood components in pediatrics through a collaborative process improvement initiative. Design.— A multidisciplinary working group, formed as part of a value stream analysis to improve transfusion safety at Children’s Healthcare of Atlanta (Atlanta, Georgia), focused on decreasing variability and providing clarity when ordering, preparing, and transfusing blood using the electronic health record. Through benchmarking with other pediatric institutions and a collaborative design process with multiple local stakeholders, an extensive redesign in the existing orders and order sets occurred. Metrics were collected to determine if a change was an improvement. Results.— Nurse and laboratory informaticists, a pathology informaticist, and a transfusion medicine specialist built the new orders based on the design. The new orders focused on the following changes: standardization, introduction of logic, naming conventions, clarifying definitions, adding calculations, improving transparency of history and laboratory data, removing aliquots, clarifying communication, and implementing additional modules to inform the provider of necessary information about the patient. Metrics included a decrease in the number of orders changed within an hour, decreased calls from the blood bank to the provider to clarify the order, and an absence of overtransfusions and transfusion-related serious safety events for a year following implementation. Conclusions.— This collaborative initiative, using standard process improvement tools, resulted in standardized blood orders improving transfusion safety.

Context.— Biomedical terminologies such as Logical Observation Identifiers, Names, and Codes (LOINC) were developed to enable interoperability of health care data between disparate health information systems to improve patient outcomes, public health, and research activities. Objective.— To ascertain the utilization rate and accuracy of LOINC terminology mapping to 10 commonly ordered tests by participants of the College of American Pathologists (CAP) Proficiency Testing program. Design.— Questionnaires were sent to 1916 US and Canadian laboratories participating in the 2018 CAP coagulation (CGL) and/or cardiac markers (CRT) surveys requesting information on practice setting, instrument(s) and test method(s), and LOINC code selection and usage in the laboratory and electronic health records. Results.— Ninety of 1916 CGL and/or CRT participants (4.7%) responded to the questionnaire. Of the 275 LOINC codes reported, 54 (19.6%) were incorrect: 2 codes (5934-2 and 12345-1) (0.7%) did not exist in the LOINC database and the highest error rates were observed in the property (27 of 275, 9.8%), system (27 of 275, 9.8%), and component (22 of 275, 8.0%) LOINC axes. Errors in LOINC code selection included selection of the incorrect component (eg, activated clotting time instead of activated partial thromboplastin time); selection of panels that can never be used to obtain an individual analyte (eg, prothrombin time panel instead of international normalized ratio); and selection of an incorrect specimen type. Conclusions.— These findings of real-world LOINC code implementation across a spectrum of laboratory settings should raise concern about the reliability and utility of using LOINC for clinical research or to aggregate data.