Prospective risk analysis adjusted to the reality of clinical and fertility laboratory processes

Diagnosis ◽  
2015 ◽  
Vol 2 (4) ◽  
pp. 235-243 ◽  
Author(s):  
Pim M.W. Janssens ◽  
Anja Scholten ◽  
Harm De Waard ◽  
Natascha Tiemens ◽  
Monique Van Uum ◽  
...  

AbstractProspective risk analysis (PRA) is a valuable instrument in quality assurance. The practical application of PRA in clinical laboratories according to the method we have described elsewhere leaves room for a number of adaptations to make it more applicable to and consistent with actual laboratory processes.We distinguished between more and less critical tests and products in the laboratory processes and scored the consequences of failures at different steps in line with the previously described failure type and effect analysis (FMEA) method. PRA was carried out for two typical laboratory processes: standard clinical laboratory testing and the cryopreservation of semen.Tests in standard clinical laboratory in processes were labeled critical, semi-critical or non-critical. Consequence scoring (C) and assessed risk (R) were significantly higher for processes containing tests considered to be critical (C=6.6±1.5, R=19.3±13.5) as compared to processes containing tests considered semi- or non-critical (C=3.0±1.4, R=8.2±5.3 and C=3.2±1.8, R=8.6±5.9, respectively). There were no differences in the C and R scores for processes with tests considered semi- or non-critical. In the semen cryopreservation process, a distinction between the processes involving private semen and generally accessible semen was made. The C scores for these were significantly different (C=5.9±2.2 and 5.0±2.0, respectively), the R scores did not differ.Introduction of a test criticality classification for the purpose of consequence scoring led to an improved PRA methodology, better reflecting the reality of clinical laboratory practice. We found that two levels of criticality, critical and less critical, were sufficient to achieve this improvement.

2020 ◽  
Vol 51 (5) ◽  
pp. e59-e65 ◽  
Author(s):  
Marie C Smithgall ◽  
Mitra Dowlatshahi ◽  
Steven L Spitalnik ◽  
Eldad A Hod ◽  
Alex J Rai

Abstract Clinical laboratory testing routinely provides actionable results, which help direct patient care in the inpatient and outpatient settings. Since December 2019, a novel coronavirus (SARS-CoV-2) has been causing disease (COVID-19 [coronavirus disease 2019]) in patients, beginning in China and now extending worldwide. In this context of a novel viral pandemic, clinical laboratories have developed multiple novel assays for SARS-CoV-2 diagnosis and for managing patients afflicted with this illness. These include molecular and serologic-based tests, some with point-of-care testing capabilities. Herein, we present an overview of the types of testing available for managing patients with COVID-19, as well as for screening of potential plasma donors who have recovered from COVID-19.


2018 ◽  
Vol 56 (11) ◽  
pp. 1878-1885
Author(s):  
Pim M.W. Janssens ◽  
Armando van der Horst

Abstract Background: Practical application of prospective risk analysis (PRA) in clinical laboratories should reflect processes as they are carried out, while making the PRA results obtained from different processes comparable. This means that not only STAT and standard testing and testing for critical and less critical parameters should be distinguished (as published), but also that the throughput in processes and process steps should be taken into account. Methods: Building on our previously published PRA, a method was developed to compensate for the throughput in processes and process steps. A factor T, related to the actually observed throughput, was introduced in the risk score calculation. Introduction of this compensation factor leads to different overall risk scores. The criteria by which the risk scores are evaluated were modified accordingly. Results: Introduction of a factor in the PRA to compensate for throughput leads to a change in the risk score for various conceivable failures in process steps. As compared to the PRA in which no compensation for throughput is made, in a process with low throughput the risk score for various conceivable failures in process steps comes out higher after introduction of the compensation factor, while in a process with high throughput various risk scores come out lower. Conclusions: Introduction of a factor to account for the throughput in a process (and process steps) leads to an improved, more realistic PRA, the results of which makes the risk scores of different processes (and process steps) better comparable to each other.


2019 ◽  
Vol 152 (Supplement_1) ◽  
pp. S139-S139
Author(s):  
Nancy Cornish ◽  
Sheldon Campbell ◽  
Elizabeth Weirich

Abstract Objectives Patient care and public health in the United States depend on timely and reliable clinical laboratory testing. A third of the roughly 500 million yearly patient visits to health care providers involve at least one laboratory test, and approximately 70% of medical decisions are based upon test results. However, the performance of clinical laboratory testing could be compromised by patient specimens potentially contaminated with highly infectious materials. The importance of biosafety in clinical laboratories was highlighted during the 2014 Ebola crisis, where fears about safety resulted in some institutions refusing or delaying tests on patient specimens, which resulted in delayed diagnoses and contributed to patient deaths. Methods In collaboration with subject matter experts from academia, medical centers, and federal institutions, the Centers for Disease Control and Prevention has reviewed the capability of clinical laboratories to safely test patient specimens potentially contaminated with highly infectious materials, like Ebola. Current biosafety guidance for clinical laboratories has been largely based on biosafety practices in research laboratories, so the guidelines do not always correspond to clinical laboratories and may be incomplete or occasionally inconsistent. While essential to patient care, clinical laboratories are also unique environments with specialized equipment, processes, and therefore distinct challenges. Here we discuss the complexity of clinical laboratories and describe how applying current biosafety guidance to clinical laboratories may be difficult and confusing at best or inappropriate and harmful at worst. We describe biosafety gaps and opportunities for improvement in the areas of ethics; risk assessment and management; automated and manual laboratory disciplines; specimen collection, processing, and storage; test utilization; waste management; laboratory personnel training and competency assessment; and accreditation processes. Conclusion These identified gaps in knowledge and practice could inform future research and education in clinical laboratory biosafety.


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