Using the e-Chasqui, web-based information system, to determine laboratory guidelines and data available to clinical...

Duplicate drug susceptibility tests (DSTs) are a known issue in clinical settings, particularly in regions with limited access to centralized laboratory data systems. Prior research has shown that without robust information systems, clinical staff may order redundant tests due to incomplete or outdated information. In some healthcare systems, the lack of real-time data access leads to inefficiencies and unnecessary costs. In low-resource settings, this problem is compounded by limited infrastructure and training. No prior work had resolved the specific causes of duplication in DSTs in Peru. This gap motivated the implementation of a web-based system to track and analyze test orders. The uncertainty around why clinical staff ordered duplicate tests remained unresolved. Understanding the root causes of duplication is essential for improving diagnostic workflows and reducing healthcare expenditures.

The aim of this study was to investigate the reasons behind duplicate DST orders in a Peruvian public laboratory. The researchers sought to determine whether a lack of awareness of laboratory guidelines or of prior test results contributed to redundant testing. The study focused on a specific problem: the high rate of duplicate DSTs and the absence of a clear explanation for this trend. The motivation was to assess the potential benefits of integrating a web-based information system into clinical workflows. By analyzing data collected through an online survey, the team aimed to identify the primary factors driving duplication. The study also aimed to evaluate how a digital system could improve communication between clinical staff and laboratory services. The ultimate goal was to inform future strategies for reducing redundant testing and improving data accessibility. This approach could help streamline healthcare delivery in resource-limited environments.

The study used the e-Chasqui web-based information system to implement an online survey for clinical staff. The system was used to collect data on why duplicate DSTs were ordered. The survey was integrated into the laboratory's existing workflow to ensure minimal disruption. Clinical staff were prompted to complete the survey when duplicate DSTs were detected. The system automatically flagged duplicate orders based on predefined criteria. The survey collected qualitative and quantitative data on the reasons for ordering DSTs. Responses were analyzed to determine the most common causes of duplication. The system allowed for real-time tracking of survey responses and test orders. This approach enabled the researchers to correlate survey data with laboratory records.

Of the DSTs analyzed, 13% were identified as duplicates. The online survey revealed that 59.6% of these duplicates were ordered because clinical staff were unaware of existing guidelines or of prior test results. The remaining duplicates were attributed to other factors, such as incomplete documentation or miscommunication. The survey responses indicated a significant lack of awareness about laboratory protocols among clinical staff. The e-Chasqui system successfully captured detailed data on the reasons for duplicate orders. The study found that awareness of prior DST results could have prevented most duplication. The system also provided insights into how clinical staff accessed and interpreted laboratory data. The data suggested that a web-based system could reduce redundancy if integrated into routine workflows. These findings highlight the potential of digital tools to improve diagnostic efficiency.

The study concluded that a significant proportion of duplicate DSTs were due to clinical staff's lack of awareness of guidelines or prior results. The researchers proposed that integrating a web-based system like e-Chasqui could help reduce duplication by improving data accessibility. The findings suggest that better communication between clinical and laboratory staff could enhance diagnostic accuracy. The authors emphasized the importance of training and education to ensure staff are aware of available resources. The study also indicated that digital systems can provide valuable insights into clinical decision-making. The results show that web-based tools can support more efficient healthcare delivery. The researchers propose that similar systems could be implemented in other low-resource settings. These conclusions are based on the data collected through the e-Chasqui system and the survey responses.