Characterization of add-on testing before and after automation at a core laboratory
Álvaro García-Osuna,
Leonor Guiñón Muñoz,
María Costa Pallaruelo,
Andrea Mansilla Usero,
Biel Cuevas Eduardo,
Judit Llanos Ramos,
Marina Canyelles,
Cecília Martínez Brú,
Francisco J. Illana Cámara
Affiliations
Álvaro García-Osuna
Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Institut de Recerca de l’Hospital Santa Creu i Sant Pau, Institut d’Investigacions Biomèdiques, IIB Sant Pau, Barcelona, Spain; Corresponding author. Biochemistry Department. Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Leonor Guiñón Muñoz
Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Laboratories Quality Department. Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
María Costa Pallaruelo
Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
Andrea Mansilla Usero
Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
Biel Cuevas Eduardo
Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
Judit Llanos Ramos
Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
Marina Canyelles
Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Institut de Recerca de l’Hospital Santa Creu i Sant Pau, Institut d’Investigacions Biomèdiques, IIB Sant Pau, Barcelona, Spain
Cecília Martínez Brú
Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
Francisco J. Illana Cámara
Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
Objectives: Add-on testing refers to the process that occurs in clinical laboratories when clinicians request that additional tests be performed on a previously analysed specimen. This is a common but inefficient procedure, highly time-consuming, especially at core laboratories and could be optimised by automating these procedures. The aims of this study are: 1) To describe patterns of add-on testing at a core laboratory at a tertiary hospital, 2) To evaluate turnaround time (TAT) before and after automation of the pre-, post- and analytical phases. Methods: Retrospective, observational study conducted at the biochemistry area of a core laboratory of all add-on orders received in two different months (pre-automation and post-automation). Results: A total of 2464 add-on orders were analysed, representing around 5 % of total requests. Most orders were for either one (>50 %) or two (≈20 %) tests. Most orders were received during the week (from Monday to Friday), particularly during the morning shift (>50 %). More than 50 % of requests were made by the Emergency Department. The two most common add-on parameters were C-reactive protein and N-terminal pro-brain natriuretic peptide. After automation, the median TAT decreased by 42.3 % (from 52 to 22 min). The largest decreases in TAT were observed for routine samples (58.89 %) and fully automated analyses (56.86 %). Conclusions: Automation of our core laboratory substantially reduced turnaround time for add-on testing, indicating an increase in efficiency. Automation eliminated several manual steps in the process, leading to a mean reduction of 15 work hours per day (more than 2 full-time equivalents).