PT  - JOURNAL ARTICLE
AU  - Pacheco Ramos, MP
AU  - Zamora Barrios, MD
AU  - Gonzalez Perez, C
AU  - Arenaza Peña, AE
AU  - Martinez Sesmero, JM
TI  - 3PC-027 Digitalisation support system for intravenous mixtures elaboration in a biological safety cabinet
AID  - 10.1136/ejhpharm-2022-eahp.50
DP  - 2022 Mar 01
TA  - European Journal of Hospital Pharmacy
PG  - A24--A24
VI  - 29
IP  - Suppl 1
4099  - http://ejhp.bmj.com/content/29/Suppl_1/A24.1.short
4100  - http://ejhp.bmj.com/content/29/Suppl_1/A24.1.full
SO  - Eur J Hosp Pharm2022 Mar 01; 29
AB  - Background and importance We have been working with a system robot that integrates electronic prescription in our hospital pharmacy for the automated preparation of intravenous mixtures. However, some of the preparations are not candidates for robotic processing. Manual preparations should provide similar traceability and security.Aim and objectives To describe the implementation of a digital support system (DSS) for the manual preparation in a biological safety cabinet (BSC) of intravenous mixtures.Material and methods Retrospective descriptive study of the digitalisation of the manual preparation of intravenous mixtures in a BSC (December 2020–February 2021). Implementation phase activities comprised: (1) entering the drug density data, (2) updating drugs handling in the software and (3) staff training. The material needed (weight scale with integrated camera, screen, keyboard, code reader and printer) was situated in a BSC for cytostatic preparations.It was decided to use the system in the following cases: (1) syringe preparations, (2) vials that are non-compatible for robot handling due to their format, (3) lyophilised powder drugs and (4) non-scheduled or emergency treatments. Verification of the precision obtained in the dosage was performed by gravimetric control based on the density of the drug. Although the pharmacopoeia allows a deviation of ±10% in dosage, we limited it to the same tolerance already used in the robot system, namely ±4%.Results Ninety drug presentations have been configured in the DSS. In the first 3 months, 1477 preparations were elaborated (22.8%), with a mean error in drug dosage of 1.51% (SD 1.41). To meet the dosage criteria, 65 preparations were rectified. DSS traces the entire process by taking pictures of the components, by recording the elaboration, and by barcode verification or data-matrix of the final container and drug used.Conclusion and relevance The drug density database can be applied to any system employing gravimetric dosing control. DSS represents a useful complementary tool whenever the use of a robot system is limited, providing traceability and security for the process of manual preparation of intravenous mixtures as a substantial improvement in the quality of the circuit.Conflict of interest No conflict of interest