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Characterization of add-on testing before and after automation at a core laboratory.
García-Osuna, Álvaro; Guiñón Muñoz, Leonor; Costa Pallaruelo, María; Mansilla Usero, Andrea; Cuevas Eduardo, Biel; Llanos Ramos, Judit; Canyelles, Marina; Martínez Brú, Cecília; Illana Cámara, Francisco J.
Afiliação
  • García-Osuna Á; Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
  • Guiñón Muñoz L; Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
  • Costa Pallaruelo M; Institut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques, IIB Sant Pau, Barcelona, Spain.
  • Mansilla Usero A; Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
  • Cuevas Eduardo B; Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
  • Llanos Ramos J; Laboratories Quality Department. Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
  • Canyelles M; Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
  • Martínez Brú C; Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
  • Illana Cámara FJ; Core Laboratory, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Heliyon ; 9(11): e22096, 2023 Nov.
Article em En | MEDLINE | ID: mdl-38034602
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).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Espanha