Naslov
Samples Delivery time analysis. Need for entry data improvements

Autori
Ćelap, Ivana ; Bokulić, Adriana ; Vukasović, Ines ; Vrkić, Nada

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Clin Chem Lab Med 2017 ; 55, Special Suppl - IFCC WORLDLAB DURBAN 2017 / Plebani, Mario - Berlin : European Federation of Clinical Chemistry and Laboratory Medicine (EFLM), 2017, S1648-S1648

Skup
IFCC WorldLab DURBAN 2017

Mjesto i datum
Durban, Južnoafrička Republika, 22.10.2017. - 25.10.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Pre and Post analytical quality ; Quality manegement ; STST samples

Sažetak
BACKGROUND-AIM Our laboratory is accredited according to ISO 15189 and one of the preanalytical requirements is to follow sample delivery time as a criteria for sample acceptance. Maximal allowable time from sampling to analysis, or final preanalytical processing, is 6 hours for chemistry and immunology tests. When HIS has been introduced sampling time data has been lost and laboratory staff inspection is disabled. Thus, HIS provider directed clinical staff that blood samples have to be collected at the same time when electronic request is sent to HIS. LIS collects the time of test request in HIS as a sampling time. The aim of the study was to investigate whether the mean time of the inpatient blood samples delivery to the laboratory meets acceptance criteria. METHODS The data of all chemistry and immunology tests entries in March, 2017 were collected from LIS and analyzed. The time of electronic request was considered as a time of blood sampling. Difference between the time of a LIS admission and the time of a HIS request is used as sample delivery time. Analysis was done using Microsoft Office Excel software. RESULTS Total of 20044 inpatients were entered in LIS, 13970 (69.7%) as emergency (STAT) and 6074 (30.3%) as routine protocols. The mean time from blood sampling to LIS admission for all entries was 77 minutes. For the STAT protocols the mean time was 59 minutes and 99 minutes for the routine protocols. Surprisingly, the longest mean delivery time was shown for SICU patients’ STAT samples (274 min, 4.8% STAT samples) and as expected the shortest for ED (27 minutes, 35% STAT samples). The mean delivery time for routine protocols have shown the longest delivery from ENT department (158 min, 1.3% samples), and the shortest time from Surgery department (76 min, 3.2% samples). The mean delivery times did not differ during the 24h period and was not influenced by the peak admission time in laboratory. CONCLUSIONS First, results showed reverse share of STAT and routine samples and triage modifications are necessary in order to achieve TAT shorter than 1 hour. Second, although acceptance criteria is met, delivery time is unrealistic, especially for SICU STAT samples. Urgent HIS improvements are needed for data entry of the sampling time.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti, Farmacija

POVEZANOST RADA