scholarly journals Development and Implementation of A LIS-Based Validation System for Autoverification Toward Zero Defects in The Automated Reporting of Laboratory Test Results

Author(s):  
Di Jin ◽  
Qing Wang ◽  
Dezhi Peng ◽  
Jiajia Wang ◽  
Yating Cheng ◽  
...  

Abstract BackgroundValidation of the autoverification function is the most critical step to confirm its effectiveness before use. It is crucial to verify whether the programmed algorithm follows the expected logic and produces the expected results. In recent years, this process has always been centered on the assessment of human-machine consistency and mostly takes the form of manual recording, which is a time-consuming activity with inherent subjectivity and arbitrariness, and cannot guarantee a comprehensive, timely and continuous effectiveness evaluation of the autoverification function. To overcome these inherent limitations, we independently developed and implemented a laboratory information system (LIS)-based validation system for autoverification.MethodsWe developed a correctness verification and integrity validation method (hereinafter referred to as the "new method") in the form of a human-machine dialogue. The system records the personnel’s review steps and determines if the human-machine review results are consistent. If they are inconsistent, the laboratory personnel analyze the reasons for the inconsistency according to the system prompts, add to or modify the rules, reverify, and finally improve the accuracy of autoverification.ResultsThe validation system was successfully established and implemented. For a dataset consisting of 833 rules for 30 assays, 782 rules (93.87%) were successfully verified in the correctness verification phase, and 51 rules were deleted due to execution errors. In the integrity validation phase, 24 projects were easily verified, while the other 6 projects still required the addition of new rules or changes to the rule settings. From setting the rules to the automated reportion, the time difference between manual validation and the new method, was statistically significant (χ2=11.06, p=0.0009), with the new method greatly reducing validation time. Since 2017, the new method has been used in 32 laboratories, and 15.8 million reports have been automatically reviewed and issued without a single clinical complaint.ConclusionTo the best of our knowledge, this is the first report to realize autoverification validation in the form of a human-machine interaction.The new method can effectively control the risks of autoverification, shorten time consumption, and improve the efficiency of laboratory verification.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Di Jin ◽  
Qing Wang ◽  
Dezhi Peng ◽  
Jiajia Wang ◽  
Bijuan Li ◽  
...  

Abstract Background Validation of the autoverification function is one of the critical steps to confirm its effectiveness before use. It is crucial to verify whether the programmed algorithm follows the expected logic and produces the expected results. This process has always relied on the assessment of human–machine consistency and is mostly a manually recorded and time-consuming activity with inherent subjectivity and arbitrariness that cannot guarantee a comprehensive, timely and continuous effectiveness evaluation of the autoverification function. To overcome these inherent limitations, we independently developed and implemented a laboratory information system (LIS)-based validation system for autoverification. Methods We developed a correctness verification and integrity validation method (hereinafter referred to as the "new method") in the form of a human–machine dialog. The system records personnel review steps and determines whether the human–machine review results are consistent. Laboratory personnel then analyze the reasons for any inconsistency according to system prompts, add to or modify rules, reverify, and finally improve the accuracy of autoverification. Results The validation system was successfully established and implemented. For a dataset consisting of 833 rules for 30 assays, 782 rules (93.87%) were successfully verified in the correctness verification phase, and 51 rules were deleted due to execution errors. In the integrity validation phase, 24 projects were easily verified, while the other 6 projects still required the additional rules or changes to the rule settings. Taking the Hepatitis B virus test as an example, from the setting of 65 rules to the automated releasing of 3000 reports, the validation time was reduced from 452 (manual verification) to 275 h (new method), a reduction in validation time of 177 h. Furthermore, 94.6% (168/182) of laboratory users believed the new method greatly reduced the workload, effectively controlled the report risk and felt satisfied. Since 2019, over 3.5 million reports have been automatically reviewed and issued without a single clinical complaint. Conclusion To the best of our knowledge, this is the first report to realize autoverification validation as a human–machine interaction. The new method effectively controls the risks of autoverification, shortens time consumption, and improves the efficiency of laboratory verification.


2000 ◽  
Vol 39 (01) ◽  
pp. 88-92 ◽  
Author(s):  
J. O. O. Hoeke ◽  
B. Bonke ◽  
R. van Strik ◽  
E. S. Gelsema

Abstract:Two tabular and two graphical techniques for the presentation of laboratory test results were compared in a reaction-time experiment with 22 volunteers. The experimental setup was designed to determine whether one or more of the presentation techniques facilitated the recognition of four predefined combinations of abnormal test results. Using a conventional, tabular presentation technique as a reference, faster median response times were obtained with each of the other three presentation techniques, irrespective of pattern. The effect on accuracy was less clear, possibly due to the small number of errors made.


Author(s):  
Prihatini Prihatini

Clinical laboratory as a supporting tool to establish diagnostic as well as the efficiency of laboratory results will need on time report,accurate result, and satisfaction of the customer should necessary supported by suitability equipments. Most laboratories using automaticmachine need the assistance of LIS (Laboratory Information System) to enhance good results. To prepare its ready use of these laboratoryinstruments, request orders of the physicians’ should be explicit and content satisfaction of the clinically symptoms as well. The laboratorypersonnel and the supervisor of LIS software should know well how to operate it to match with the other laboratory equipment used.The result of laboratory’s orders should be recorded by LIS and send back to the physicians. In this computerisation world, automationof clinical laboratory is necessary if efficient results are the main need.


2019 ◽  
Vol 26 (4) ◽  
pp. 197-208
Author(s):  
Leo Gu Li ◽  
Albert Kwok Hung Kwan

Previous research studies have indicated that using fibres to improve crack resistance and applying expansive agent (EA) to compensate shrinkage are both effective methods to mitigate shrinkage cracking of concrete, and the additions of both fibres and EA can enhance the other performance attributes of concrete. In this study, an EA was added to fibre reinforced concrete (FRC) to produce concrete mixes with various water/binder (W/B) ratios, steel fibre (SF) contents and EA contents for testing of their workability and compressive properties. The test results showed that adding EA would slightly increase the superplasticiser (SP) demand and decrease the compressive strength, Young’s modulus and Poisson’s ratio, but significantly improve the toughness and specific toughness of the steel FRC produced. Such improvement in toughness may be attributed to the pre-stress of the concrete matrix and the confinement effect of the SFs due to the expansion of the concrete and the restraint of the SFs against such expansion.


2018 ◽  
Vol 9 (1) ◽  
pp. 31-42
Author(s):  
Rysa Sahrial

Poverty is one continuing social issue which is hard to solve. Dealing with this problem, Islam has already had the alternative solution that is tithe (Zakat). Zakat is implemented to decrease economy imbalanced appeared in the society. While in fact, not all the Moslem pay Zakat. There are five factors as the reason why Moslem didn’t do that. First, some Muzakki wants to deliver his zakat directly.Seconde, not all Muzakki know how much Zakat must be paid. The other factors are Limited information about Mustahik home, limited time that Muzakki have to deliver his Zakat directly and the easiness to report Mustahik data. Dealing with those factors, it is required to have an information system which can make Muzakki meets Mustahik. In this research, information system application used Extreme Programming (XP) development method. XP method is required to program a system which will be made by accomodating the users’ needs and expectations.


2020 ◽  
Author(s):  
Philip Boakye

The acceptance of electronic laboratory information system (LIS) is gradually increasing in developing countries. However, the issue of time effectiveness due to computerization is less clear as there is fewer accessible information. One of the key issues for laboratorians is their indecision with LISs’ would-be effect of time on their work. A polyclinic in Ghana was in the process of implementing electronic LIS. Several of the laboratorians did not have knowledge and skill in computing and there were disagreeing views on the time effectiveness of the LIS after implementation. The management of the polyclinic laboratory was concerned to assess time advantageousness of recording data when using the electronic LIS compared with paper-based LIS. <div><br></div><div>Five randomly selected laboratorians were provided two sheets of paper with tables to document the time they spent for both paper-based and electronic LIS. Data were collected for a total of 230 records,115 electronic LIS and 115 paper-based LIS. The t-test (mean-comparison test) was computed to compare the means of both electronic and paperbased LIS times. </div><div><br></div><div>There was a statistical significant difference in the time spent between electronic and paper-based LIS. The time spent between paper-based and electronic LIS was 0.41 minutes (95% CI 0.15 to 0.66) longer than in electronic LIS. </div><div><br></div><div>LIS can be adopted in polyclinics without having significant negative impact on time spent between electronic and paper-based LIS. More time–motion studies that include laboratorians are however necessary in order to get a more complete picture of time spent between electronic and paper-based LIS. </div>


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