Radio-Frequency Identification Specimen Tracking to Improve Quality in Anatomic Pathology
| Autor: | Lynn L. Saari, G. Scott Welder, R. Ross Reichard, Brian J. Bartholmai, Kurt E. Simon, Andrew P. Norgan, Joseph M. Doppler, John A. Martin, Christopher T. Yoch, Barbara A. Feehan, John A. Sedarski, Nneka I. Comfere |
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| Rok vydání: | 2019 |
| Předmět: |
Patient Identification Systems
medicine.medical_specialty Quality Assurance Health Care Computer science 030204 cardiovascular system & hematology Tracking (particle physics) Specimen Handling Pathology and Forensic Medicine 03 medical and health sciences 0302 clinical medicine medicine Humans Radio-frequency identification Computer vision Pathology Clinical Medical Errors business.industry Anatomical pathology General Medicine Clinical method Medical Laboratory Technology Identification (information) Specimen collection 030220 oncology & carcinogenesis Artificial intelligence business |
| Zdroj: | Archives of Pathology & Laboratory Medicine. 144:189-195 |
| ISSN: | 1543-2165 0003-9985 |
| DOI: | 10.5858/arpa.2019-0011-oa |
| Popis: | Context.—Preanalytic errors, including specimen labeling errors and specimen loss, occur frequently during specimen collection, transit, and accessioning. Radio-frequency identification tags can decrease specimen identification and tracking errors through continuous and automated tracking of specimens.Objective.—To implement a specimen tracking infrastructure to reduce preanalytic errors (specimen mislabeling or loss) between specimen collection and laboratory accessioning. Specific goals were to decrease preanalytic errors by at least 70% and to simultaneously decrease employee effort dedicated to resolving preanalytic errors or investigating lost specimens.Design.—A radio-frequency identification specimen-tracking system was developed. Major features included integral radio-frequency identification labels (radio-frequency identification tags and traditional bar codes in a single printed label) printed by point-of-care printers in collection suites; dispersed radio-frequency identification readers at major transit points; and systems integration of the electronic health record, laboratory information system, and radio-frequency identification tracking system to allow for computerized physician order entry driven label generation, specimen transit time tracking, interval-based alarms, and automated accessioning.Results.—In the 6-month postimplementation period, 6 mislabeling events occurred in collection areas using the radio-frequency identification system, compared with 24 events in the 6-month preimplementation period (75% decrease; P = .001). In addition, the system led to the timely recovery of 3 lost specimens. Labeling expenses were decreased substantially in the transition from high-frequency to ultrahigh frequency radio-frequency identification tags.Conclusions.—Radio-frequency identification specimen tracking prevented several potential specimen-loss events, decreased specimen recovery time, and decreased specimen labeling errors. Increases in labeling/tracking expenses for the system were more than offset by time savings and loss avoidance through error mitigation. |
| Databáze: | OpenAIRE |
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