Evidence map›Paper›PMID 39825312›Full record

ArticleBMC medical informatics and decision making2025

Implementation of a Laboratory Information Management System (LIMS) for microbiology in Timor-Leste: challenges, mitigation strategies, and end-user experiences.

Tessa Oakley, Juliao Vaz, Fausto da Silva, Raikos Allan, Deonisia Almeida, Karen Champlin, Endang Soares da Silva, Ari Jayanti Tilman, Ian Marr, Heidi Smith-Vaughan and 2 more

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Tessa OakleyGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste. tessa.oakley@menzies.edu.au.
Juliao VazPartnership for Human Development, Dili, Timor-Leste.
Fausto da SilvaGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.
Raikos AllanGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.
Deonisia AlmeidaU.S. Agency for International Development, Dili, Timor-Leste.
Karen ChamplinGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.
Endang Soares da SilvaPartnership for Human Development, Dili, Timor-Leste.
Ari Jayanti TilmanLaboratório da Saúde do INSP-TL, Dili, Timor-Leste.
Ian MarrGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.
Heidi Smith-VaughanGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.
Jennifer YanGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.
Joshua R FrancisGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Dili, Timor-Leste.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective diagnostic capacity is crucial for clinical decision-making, with up to 70% of decisions in high-resource settings based on laboratory test results. However, in low- and middle-income countries (LMIC) access to diagnostic services is often limited due to the absence of Laboratory Information Management Systems (LIMS). LIMS streamline laboratory operations by automating sample handling, analysis, and reporting, leading to improved quality and faster results. Despite these benefits, sustainably implementing LIMS in LMIC is challenging due to high costs, inadequate infrastructure, and limited technical expertise.

methodsThis study evaluated the implementation of a customised microbiology LIMS at the National Health Laboratory (NHL) in Timor-Leste. The LIMS was deployed in November 2020, with an accompanying online results portal introduced in early 2021. The implementation was assessed via a checklist based on key challenges and requirements for LIMS in LMIC, alongside a post-implementation survey of scientists and clinicians.

resultsThe assessment revealed significant improvements in laboratory processes, including enhanced sample throughput, data management, and result reporting. The LIMS reduced transcription errors and standardised reporting of antimicrobial susceptibility testing (AST), improving data quality and accessibility. However, challenges such as unreliable internet connectivity and the need for ongoing funding and technical support persist. The user satisfaction survey, with responses from 19 laboratory scientists and 15 clinicians, revealed positive feedback on workflow improvements and result accessibility, although concerns about internet speed, sustainability, and the need for further training were noted.

conclusionThis study highlights the importance of careful planning, customisation, and stakeholder engagement in LIMS implementation in LMIC. The success in Timor-Leste demonstrates the potential for improved laboratory quality and patient outcomes, but also underscores the need for ongoing investment in infrastructure, technical expertise, and sustainability planning.

Indexed as

Clinical Laboratory Information SystemsMicrobiological TechniquesTimor-LesteHealth infrastructureImplementationLaboratory Information Management System (LIMS)Low- and middle-income countries (LMIC)MicrobiologySustainabilityTimor-Leste

Identifiers

PMID39825312
PMCPMC11748579

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.