Error Evaluation in the Laboratory Testing Process and LIS

Error Evaluation in the Laboratory Testing Process and LIS: Insights from a 2021 Case Study

Research type: Review
Published date: 2021

Welcome to our LIS Research Series, where we delve into recent case studies and research in the field of lab testing and Laboratory Information Systems (LIS). Our goal is to apply a scientific-based approach to understanding the latest findings in laboratory and automation technologies, particularly LIS. By exploring these studies, we aim to uncover practical applications that can be implemented to enhance laboratory practices and improve overall outcomes. In this edition, we cover a new case study titled “Error Evaluation in the Laboratory Testing Process and LIS,” published by the Journal of Medical Biochemistry in 2021. This study provides valuable insights into common errors in LIS and offers actionable recommendations for laboratories to optimize their operations and ensure patient safety.

The latest case study titled “Error Evaluation in the Laboratory Testing Process and LIS,” published by the Journal of Medical Biochemistry in 2021, sheds light on critical aspects that influence laboratory testing outcomes. This comprehensive study delves into the common errors in Laboratory Information Systems (LIS) and provides actionable insights to mitigate these issues, ultimately improving patient care.

Study Type and Methods

This study employed a qualitative case study approach to examine errors related to the LIS and the first and last phases of the laboratory testing process. Conducted in two private hospitals and a medical laboratory in Malaysia, data was collected through interviews, observations, and document analysis involving 15 participants, including physicians, nurses, IT officers, and laboratory staff.

Error evaluation in the laboratory testing process and laboratory information system

Key Findings

The case study identifies several core areas where laboratory errors frequently occur. These include unmet user requirements, insufficient training, and limited system exposure. Such factors often lead to underutilization of the LIS, decreased staff motivation, and errors in the testing process.

  1. Unmet User Requirements: The study reveals that many laboratories fail to fully articulate their needs during the LIS implementation phase. This gap results in a system that does not align with the laboratory’s specific workflow, leading to inefficiencies and errors.
  2. Insufficient Training: Another significant finding is the lack of adequate training for laboratory staff. The study underscores the necessity for comprehensive training programs that cover all aspects of the LIS, from basic functionalities to advanced features. Proper training ensures that staff can leverage the full potential of the LIS, reducing the likelihood of errors.
  3. Limited System Exposure: The study also highlights that limited exposure to the LIS can hamper its effective use. Staff members who are not regularly engaged with the system may struggle to perform tasks efficiently, increasing the risk of errors. Continuous engagement and
    regular refresher courses are recommended to keep the staff proficient.

Results

The errors identified in the study were attributed to several key factors:

  • System Development: Issues such as latent failures, inconsistency in software design, and poor system integration were found to significantly affect information quality and system use.
  • Human Factors: Lack of training and motivation among staff led to underutilization and errors in LIS use. Many users, particularly senior physicians and nurses, were reluctant to use the system due to perceived inefficiencies.
  • Organizational Factors: Poor cooperation between IT and laboratory units, along with uncoordinated system development, contributed to the inefficiencies observed.

Error evaluation in the laboratory testing process and laboratory information systems

Conclusion

The study concludes that complex laboratory testing processes and LIS require rigorous evaluation to minimize errors and ensure patient safety. Recommendations for improvement include:

  • Thorough Needs Assessment: Conducting detailed needs assessments to ensure the system meets all user requirements.
  • Comprehensive Training Programs: Implementing extensive training programs for all staff members to ensure effective system use.
  • Enhanced Communication Channels: Establishing robust communication channels between laboratory staff and IT support teams to address issues promptly.
  • Regular System Updates and Maintenance: Keeping the LIS updated with the latest software versions and patches to maintain reliability and security.

Implications for Practice

Implementing the recommendations from this case study can significantly improve LIS efficiency and reliability in clinical laboratories. This, in turn, enhances staff motivation, reduces errors, and improves patient care outcomes.

To improve laboratory outcomes, the key takeaways from this case study are clear:

  1. Conduct Thorough Needs Assessment: Ensure the LIS aligns with the laboratory’s specific workflow by identifying and addressing all user requirements during the implementation phase.
  2. Implement Comprehensive Training Programs: Provide extensive and ongoing training for all staff members to maximize system utilization and minimize errors.
  3. Establish Robust Communication Channels: Facilitate effective communication between laboratory staff and IT support teams to promptly address issues and maintain system efficiency.
  4. Maintain Regular System Updates and Maintenance: Keep the LIS reliable and secure by staying updated with the latest software versions and conducting regular maintenance checks.

Error evaluation in the laboratory testing process and LIS

By implementing these measures, laboratories can significantly enhance their operations, reduce errors, and ultimately improve patient care outcomes. For laboratories looking to optimize their operations, adhering to these best practices and continuously evaluating their LIS
can make all the difference. The findings from this study provide a valuable framework for identifying and addressing the root causes of errors in the laboratory testing process and LIS use.

Reference: Error evaluation in the laboratory testing process and laboratory information systems.

https://pmc.ncbi.nlm.nih.gov/articles/PMC8882017/