Evaluation of Turnaround Times for Antigen Testing in Hospitalized Patients With Histoplasmosis and Blastomycosis.

Review of histoplasmosis and blastomycosis antigen testing for 39 patients hospitalized with these diseases found that there were significantly longer turnaround times between the time of specimen collection and receipt of positive test results among those patients who had worse outcomes.

The impact of a novel color additive for disinfectant wipes on room cleanliness and turnover time.

BACKGROUND: Contaminated environmental surfaces in the health care setting put patients at risk of acquiring health care-associated infections. Highlight (Kinnos) is a novel color-additive technology for disinfectant wipes that helps users visualize surfaces that have been cleaned by producing a transient color on wiped surfaces that fades off after effective cleaning. METHODS: To quantify the impact of real-time visual feedback on room cleanliness and efficiency, a pre-post quasi-experimental study was conducted by comparing Replicate Organism Detection and Counting (RODAC) plate counts and room turnaround times with and without the use of the color additive. RESULTS: Compared with the control group of disinfectant alone, disinfection with the color additive resulted in a 69.2% improvement in room cleanliness accompanied by a 5.9% faster room turnover time. DISCUSSION: As far as we know, this study is the first to publish on the impact of a novel color additive on the environment of care as measured by microbial culturing and room turnaround times, finding advantages in both metrics relative to the status quo. CONCLUSIONS: The use of real-time visual feedback can improve the thoroughness of disinfection cleaning while maintaining operational efficiency.

Rapid diagnosis of herpes simplex virus 1 and 2 bloodstream infections utilizing a sample-to-answer platform.

Bloodstream HSV-1 and HSV-2 infections can cause devastating outcomes with high morbidity and mortality, especially in neonates or immunocompromised individuals. Proper patient management for herpes simplex virus (HSV) bloodstream infections is time-sensitive and requires a rapid, accurate, and definitive diagnosis. The absence of the U.S. Food and Drug Administration (FDA)-approved molecular assays for HSV detection in blood, coupled with a lack of consensus on the optimal sample type, underscores the unmet need for improved diagnostics. We prospectively compared the cycle threshold values in paired samples including whole blood (WB), plasma, serum, and peripheral blood mononuclear cells (PBMCs) from patients with bloodstream HSV infections. This analysis employed a modified use of the FDA-cleared Simplexa HSV-1 & 2 Direct assay. The clinical performance in serum was assessed by comparing the results of 247 remnant specimens on this sample-to-answer platform to established laboratory-developed tests in a blinded fashion. Serum samples exhibited significantly lower cycle thresholds than whole blood samples [2.6 cycle threshold (Ct) bias, P < 0.001]. The modified Simplexa assay demonstrated 100% positive percent agreement for the detection of HSV-1 and HSV-2 DNA in serum samples and yielded an overall agreement of 95% (95% CI, 0.92 to 0.97), with a κ statistic of 0.75 (95% CI, 0.62 to 0.86) compared to the composite reference method. Discordance rates were 5.20% for HSV-1 and 0.81% for HSV-2. This investigation demonstrates that serum is an optimal specimen type for HSV detection when compared to several blood compartments. Serum offers a promising sample type for rapid and accurate diagnosis of HSV bloodstream infections using the modified Simplexa assay. IMPORTANCE: Rapid, accurate, and definitive diagnosis of herpes simplex virus (HSV) infections is crucial in clinical settings for patient management. The absence of FDA-authorized molecular assays for HSV-1/2 detection in blood, coupled with a lack of consensus on the optimal sample type, underscores the need for improved diagnostic methods. Furthermore, rapid diagnosis of HSV bloodstream infections enables timely administration of antiviral treatment, influences patient management decisions for those at high risk, and can contribute to shorter hospital stays, thereby reducing healthcare costs.

Automation in Flow Cytometry.

Automation in clinical flow cytometry has the potential to revolutionize the field by improving processes and enhancing efficiency and accuracy. Integrating advanced robotics and artificial intelligence, these technologies can streamline sample preparation, data acquisition, and analysis. Automated sample handling reduces human error and increases throughput, allowing laboratories to handle larger volumes with consistent precision. Intelligent algorithms contribute to rapid data interpretation, aiding in the identification of cellular markers for disease diagnosis and monitoring. This automation not only accelerates turnaround times but also ensures reproducibility, making clinical flow cytometry a reliable tool in the realm of personalized medicine and diagnostics.

Toward Laboratory Notification in Pediatric Emergency Departments.

This study explores how patient's laboratory result are accessed in pediatric emergency departments. The rapid turnaround of laboratory results and their timely access by the medical team are crucial for effective patient management and care decision-making. This study revealed a systematic access prioritization to the Electronic Health Record, led by physicians, followed by nurses, and then other healthcare staff Despite efforts to streamline access through computerized laboratory results, optimized laboratory turnaround time and integration of final results into the electronic health record remain key challenges. Delays in accessing analysis results issued by the central hospital laboratory are consistently experienced across various laboratory types, indicating broader systemic workflow issues rather than inefficiencies specific to individual laboratories.

The Impact of Laboratory Automation on the Time to Urine Microbiological Results: A Five-Year Retrospective Study.

Total laboratory automation (TLA) is a valuable component of microbiology laboratories and a growing number of publications suggest the potential impact of automation in terms of analysis standardization, streaking quality, and the turnaround time (TAT). The aim of this project was to perform a detailed investigation of the impact of TLA on the workflow of commonly treated specimens such as urine. This is a retrospective observational study comparing two time periods (pre TLA versus post TLA) for urine specimen culture processing. A total of 35,864 urine specimens were plated during the pre-TLA period and 47,283 were plated during the post-TLA period. The median time from streaking to identification decreased from 22.3 h pre TLA to 21.4 h post TLA (p < 0.001), and the median time from streaking to final validation of the report decreased from 24.3 h pre TLA to 23 h post TLA (p < 0.001). Further analysis revealed that the observed differences in TAT were mainly driven by the contaminated and positive samples. Our findings demonstrate that TLA has the potential to decrease turnaround times of samples in a laboratory. Nevertheless, changes in laboratory workflow (such as extended opening hours for plate reading and antibiotic susceptibility testing or decreased incubation times) might further maximize the efficiency of TLA and optimize TATs.

Assessment of Turnaround Time (TAT) for Oral Squamous Cell Carcinoma Biopsies: A Single-Institution Experience.

BACKGROUND: Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide. A delay in the diagnosis of OSCC can have a drastic impact on management and patient outcomes. One of the most crucial elements in oral management is the timely histopathological final diagnosis. Turnaround time (TAT) is regarded as the most important component of the quality performance evaluation. Many labs have struggled to improve their TATs despite advancements in computerization, transport systems, and analytical technologies.  Aim: This study aimed to assess the TAT of OSCC cases, assess the mean TAT period, evaluate any TAT delays, and explore the reasons behind the TAT delays.  Materials and methods: OSCC reports in Saveetha Dental College and Hospitals, Chennai, for one year from January 1, 2022, to December 31, 2022, were retrieved from the Dental Information Archival Software (DIAS), and the mean TAT was noted. Further, the number of cases with delay in TAT was also observed, and the reason for their delay was listed. Descriptive statistics and graphical representation were performed utilizing IBM SPSS Statistics for Windows, V. 23.0 (IBM Corp., Armonk, NY, USA). One-way ANOVA was performed with a significance set at a p-value less than 0.05. RESULTS: 230 OSCC cases were retrieved and included in the TAT evaluation for this study. Among 230 cases, 161 (70%) were incisional and 69 (30%) were excisional biopsies. Only seven (4%) incisional cases and seven (10%) excisional biopsies showed a delay in TAT. The most common reason for the delay in TAT was the requirement for deeper sections and decalcification of bone specimens. Out of 161 incisional cases, only 48 (29%) have undergone excision and further treatment. Twenty-one out of 69 (30%) excisional cases were found to be referral cases from other private institutions. The overall average TAT for 12 months was 3.24 ± 0.41 days for incisional biopsies and 11.88 ± 2.07 days for excisional biopsies. One-way ANOVA revealed a statistically significant p-value of less than 0.00001. CONCLUSION: Our study sheds light on specific challenges in TAT delay and opportunities for the improvement of TAT. This can result in faster TAT of OSCC reports, further improve patient care, and enable prompt treatment. This study quantified the TAT for OSCC cases and identified critical areas for process improvement. The findings can inform strategies to streamline diagnostic workflows, reduce delays, and ultimately improve the timely delivery of care to patients with OSCC.

Evaluation of Turnaround Times of Diagnostic Biopsies: A Metric of Quality in Surgical Pathology.

Introduction. Timely and accurate diagnosis of diseases is crucial for effective patient care. Turnaround time (TAT) in surgical pathology, defined as the time between accessioning the sample and reporting results, is a key performance indicator reflecting quality and efficiency. This study explores factors affecting TAT for diagnostic biopsies in a tertiary oncology hospital. Methods. A 1-month pilot study was conducted, focusing on 695 in-house diagnostic biopsies. Biopsies were categorized as routine (requiring only hematoxylin and eosin (H&E) staining) or complex cases (requiring additional tests). TAT was defined as the time between sample accessioning and report availability in the electronic medical record, with delays defined as exceeding 3 days for routine cases and 4 days for complex cases. Survival analysis using Kaplan-Meier plots was utilized to analyze TAT. Results. The overall mean TAT was 3.7 ± 2 days, with routine cases at 3.1 ± 2 days and complex cases at 4.8 ± 2 days (P < 0.001). Survival analysis revealed prolonged TAT for complex cases. Organ-specific analysis highlighted variations in TAT, with brain biopsies presenting the highest complexity and longest TAT. Surprisingly, malignant cases demonstrated slightly shorter TATs compared to benign cases (P = 0.026). Delays were observed in 34% of all cases. Conclusions. Laboratory TAT is crucial and is frequently used as a performance benchmark. We analyzed the various causes of delayed TAT in our hospital's histopathology department, with an emphasis on variables in the analytical phase. The results of this study demonstrate that cases involving ancillary techniques had significantly longer TATs compared to routine H&E cases.

Diagnostic Stewardship in Clinical Microbiology: An Indispensable Component of Patient Care.

Emerging infectious diseases and increasing resistance to available antimicrobials are mapping the evolution of clinical microbiology and escalating the nature of undertakings required. Rapid diagnosis has become the need of the hour, which can affect diagnostic algorithms and therapeutic decisions simultaneously. Subsequently, the concept of 'diagnostic stewardship' was introduced into clinical practice for coherent implementation of available diagnostic modalities to ensure that these new rapid diagnostic technologies are conserved, rather than consumed as part of health care resources, with a view to improve the patient care and reduce Turnaround Time (TAT) and treatment expense. The present study highlights the requisite of diagnostic stewardship and outlines the infectious disease diagnostic modalities that can assist in its successful implementation. Diagnostic stewardship promotes precise, timely diagnostics, from the initial specimen collection and identification to reporting with appropriate TAT, so as to enable timely management of the patient. The main aim of diagnostic stewardship is to optimize the right choice of diagnostic test for the right patient to attain clinically significant reports with the least possible TAT for timely management and the least expected adverse effects for the patient, community, and the healthcare system. This underlines the requisite of a multifaceted approach to make technological advancements effective and successful for implementation as a part of diagnostic stewardship for the best patient care.

Abbreviated MRI in the evaluation of dizziness: report turnaround times and impact on length of stay compared to CT, CTA, and conventional MRI.

PURPOSE: Neuroimaging is often used in the emergency department (ED) to evaluate for posterior circulation strokes in patients with dizziness, commonly with CT/CTA due to speed and availability. Although MRI offers more sensitive evaluation, it is less commonly used, in part due to slower turnaround times. We assess the potential for abbreviated MRI to improve reporting times and impact on length of stay (LOS) compared to conventional MRI (as well as CT/CTA) in the evaluation of acute dizziness. MATERIALS AND METHODS: We performed a retrospective analysis of length of stay via LASSO regression for patients presenting to the ED with dizziness and discharged directly from the ED over 4 years (1/1/2018-12/31/2021), controlling for numerous patient-level and logistical factors. We additionally assessed turnaround time between order and final report for various imaging modalities. RESULTS: 14,204 patients were included in our analysis. Turnaround time for abbreviated MRI was significantly lower than for conventional MRI (4.40 h vs. 6.14 h, p < 0.001) with decreased impact on LOS (0.58 h vs. 2.02 h). Abbreviated MRI studies had longer turnaround time (4.40 h vs. 1.41 h, p < 0.001) and was associated with greater impact on ED LOS than non-contrast CT head (0.58 h vs. 0.00 h), however there was no significant difference in turnaround time compared to CTA head and neck (4.40 h vs. 3.86 h, p = 0.06) with similar effect on LOS (0.58 h vs. 0.53 h). Ordering both CTA and conventional MRI was associated with a greater-than-linear increase in LOS (additional 0.37 h); the same trend was not seen combining CTA and abbreviated MRI (additional 0.00 h). CONCLUSIONS: In the acute settings where MRI is available, abbreviated MRI protocols may improve turnaround times and LOS compared to conventional MRI protocols. Since recent guidelines recommend MRI over CT in the evaluation of dizziness, implementation of abbreviated MRI protocols has the potential to facilitate rapid access to preferred imaging, while minimizing impact on ED workflows.

Reducing turnaround time for routine outpatient biochemical tests through Lean Six Sigma: A case study in China.

BACKGROUND: Routine clinical biochemistry tests are crucial for clinical diagnostics and play a key role in enhancing outpatient turnover efficiency and patient satisfaction. This study aimed to implement Lean Six Sigma in the biochemistry laboratory of a hospital in China to improve efficiency and quality by reducing turnaround time. METHODS: The study was conducted from January to December 2023, using the DMAIC (Define, Measure, Analyze, Improve, Control) framework, and employed tools such as the voice of the customer, Value Stream Mapping, '5 whys' technique, Nominal Group Technique, and Pareto chart. RESULTS: The turnaround time for outpatient routine clinical biochemistry tests was reduced from 139 min to 58 min (p < 0.05), effectively increasing both patient and physician satisfaction. CONCLUSIONS: Lean Six Sigma aimed to reduce the turnaround time for biochemical tests have significant advantages. This study confirms the effectiveness of Lean Six Sigma in a Chinese clinical laboratory setting and provides guidance for optimizing efficiency in global clinical laboratories with limited implementation experience, constrained technical and equipment resources, and high demand for medical diagnostics.

Rapid availability of ethylene glycol test results with enzymatic assay.

BACKGROUND: Ethylene glycol poisoning causes metabolic acidosis, organ injury, and death. Ethylene glycol testing is unavailable in many areas. Our laboratory uses an automated glycerol dehydrogenase enzymatic assay to screen for ethylene glycol. We sought to determine how often ethylene glycol results were available within 12 h of the first dose of fomepizole. METHODS: Records from a single poison center were reviewed from December 2016 to December 2019. Cases were identified by searching for cases that received fomepizole. Outcomes included whether results were available within 12 h, and the turnaround time from time of laboratory order to result. RESULTS: Of the 125 cases of suspected toxic alcohol poisoning identified, 73 had screening for ethylene glycol by enzymatic assay. Results were available within 12 h of the initial fomepizole dose in 58 (79%) cases with a median turnaround time of 391 min. DISCUSSION: We have demonstrated clinically acceptable turnaround times using an automated screening ethylene glycol assay. The major limitations include lack of approval for this test at this time, the use of voluntarily reported poison center data, and lack of assessment of patient outcomes. CONCLUSION: Enzymatic screening for ethylene glycol yielded results within 12 h in 79% of cases.

'Plasma first' approach for detecting epidermal growth factor receptor mutation in advanced non-small cell lung carcinoma.

INTRODUCTION: The treatment approach for recently diagnosed advanced non-small cell lung cancer (NSCLC) with EGFR mutations primarily relies on confirming the tissue diagnosis as non-squamous NSCLC. This routine clinical practice of tissue diagnosis imposes several barriers and delays in turnaround time (TAT) for biomarker testing, significantly delaying the time to treatment. The objective of this study is to investigate the 'plasma first' approach for detection of EGFR mutation in advanced stage treatment naïve NSCLC patients. METHODS: We prospectively collected blood samples of treatment naïve patients with clinical and radiological suspicion of advanced stage NSCLC prior to obtaining tissue biopsy. Plasma cfDNA was tested for EGFR mutation using two different methods. We compared the sensitivity and TAT of liquid biopsy with tissue biopsy. RESULTS: In total, we analyzed plasma cell-free DNA (cfDNA) of 236 patients suspected of having advanced NSCLC for EGFR mutations. We observed a notably shorter turnaround time (TAT) of 3 days, which was significantly quicker compared to the 12-day TAT for tissue biopsy (p < 0.05). The ddPCR method had a sensitivity of 82.8%, which was higher than 66.34% sensitivity of ARMS-PCR. The current study also highlights that there is no significant difference in the clinical outcome of the patients whether treated based on liquid biopsy only or tissue biopsy (median progression-free survival of 11.56 vs. 11.9 months; p = 0.94). CONCLUSIONS: Utilizing a 'plasma first' strategy, given its shorter turnaround time, strong positive concordance and comparable outcomes to tissue biopsy, emerges as a highly specific and reliable method for detecting EGFR mutations in advanced-stage NSCLC.

Deep Learning to Detect Intracranial Hemorrhage in a National Teleradiology Program and the Impact on Interpretation Time.

The diagnostic performance of an artificial intelligence (AI) clinical decision support solution for acute intracranial hemorrhage (ICH) detection was assessed in a large teleradiology practice. The impact on radiologist read times and system efficiency was also quantified. A total of 61 704 consecutive noncontrast head CT examinations were retrospectively evaluated. System performance was calculated along with mean and median read times for CT studies obtained before (baseline, pre-AI period; August 2021 to May 2022) and after (post-AI period; January 2023 to February 2024) AI implementation. The AI solution had a sensitivity of 75.6%, specificity of 92.1%, accuracy of 91.7%, prevalence of 2.70%, and positive predictive value of 21.1%. Of the 56 745 post-AI CT scans with no bleed identified by a radiologist, examinations falsely flagged as suspected ICH by the AI solution (n = 4464) took an average of 9 minutes 40 seconds (median, 8 minutes 7 seconds) to interpret as compared with 8 minutes 25 seconds (median, 6 minutes 48 seconds) for unremarkable CT scans before AI (n = 49 007) (P < .001) and 8 minutes 38 seconds (median, 6 minutes 53 seconds) after AI when ICH was not suspected by the AI solution (n = 52 281) (P < .001). CT scans with no bleed identified by the AI but reported as positive for ICH by the radiologist (n = 384) took an average of 14 minutes 23 seconds (median, 13 minutes 35 seconds) to interpret as compared with 13 minutes 34 seconds (median, 12 minutes 30 seconds) for CT scans correctly reported as a bleed by the AI (n = 1192) (P = .04). With lengthened read times for falsely flagged examinations, system inefficiencies may outweigh the potential benefits of using the tool in a high volume, low prevalence environment. Keywords: Artificial Intelligence, Intracranial Hemorrhage, Read Time, Report Turnaround Time, System Efficiency Supplemental material is available for this article. © RSNA, 2024.

Influenza A, Influenza B, human respiratory syncytial virus and SARSCoV-2 molecular diagnostics and epidemiology in the post COVID-19 era.

BACKGROUND: The concurrent circulation of SARS-CoV-2 with other respiratory viruses is unstoppable and represents a new diagnostic reality for clinicians and clinical microbiology laboratories. Multiplexed molecular testing on automated platforms that focus on the simultaneous detection of multiple respiratory viruses in a single tube is a useful approach for current and future diagnosis of respiratory infections in the clinical setting. METHODS: Two time periods were included in the study: from February to April 2022, an early 2022 period, during the gradual lifting of COVID-19 prevention measures in the country, and from October 2022 to April 2023, the 2022/23 respiratory infections season. We analysed a total of 1,918 samples in the first period and 18,131 respiratory samples in the second period using a multiplex molecular assay for the simultaneous detection of Influenza A (Flu-A), Influenza B (Flu-B), Human Respiratory Syncytial Virus (HRSV) and SARS-CoV-2. RESULTS: The results from early 2022 showed a strong dominance of SARS-CoV-2 infections with 1,267/1,918 (66.1%) cases. Flu-A was detected in 30/1,918 (1.6%) samples, HRSV in 14/1,918 (0.7%) samples, and Flu-B in 2/1,918 (0.1%) samples. Flu-A/SARS-CoV-2 co-detections were observed in 11/1,267 (0.9%) samples, and HRSV/SARS-CoV-2 co-detection in 5/1,267 (0.4%) samples. During the 2022/23 winter respiratory season, SARS-CoV-2 was detected in 1,738/18,131 (9.6%), Flu-A in 628/18,131 (3.5%), Flu-B in 106/18,131 (0.6%), and HRSV in 505/18,131 (2.8%) samples. Interestingly, co-detections were present to a similar extent as in early 2022. CONCLUSION: The results show that the multiplex molecular approach is a valuable tool for the simultaneous laboratory diagnosis of SARS-CoV-2, Flu-A/B, and HRSV in hospitalized and outpatients. Infections with Flu-A/B, and HRSV occurred shortly after the COVID-19 control measures were lifted, so a strong reoccurrence of various respiratory infections and co-detections in the post COVID-19 period was to be expected.

Laboratory testing consolidation and total laboratory automation improves service efficiency and effectiveness: a study of a medical center in Taiwan.

BACKGROUND: Test consolidation and total laboratory automation (TLA) were implemented in a core laboratory with a high volume of specimens in a medical center in Taiwan to reduce the costs of laboratory services and improve laboratory workflow and performance. METHODS: Using a retrospective research approach, 5 stat and 7 routine tests were used to analyze the in-laboratory to report turnaround time (IR-TAT). Mean, SD, medium, 90th percentile, outlier percentage of IR-TAT, full-time equivalents, productivity, tube touch moment (TTM), and financial impact were determined and compared pre- and post-TLA. RESULTS: The mean IR-TAT of overall stat chemical tests for inpatient and outpatient were 32.8% and 11.9% reductions, respectively. The productivity of each medical technologist increased by 32.4% per month, and there was a reduction of 5 medical technologists compared with the number required to complete the same tests before consolidation. The TTM of staff per year post-TLA decreased by 74.1% tube touches. CONCLUSION: The efficiency of laboratory services was improved by consolidation to the core laboratory along with TLA implementation coupled with logic rules such as delta-check and autoverification. Effectiveness was improved as measured by an increase in productivity, labor reduction, staff safety, and cost reduction.

Hospital at Home programs: Decentralized inpatient care but centralized laboratory testing?

The Hospital at Home (HaH) program has experienced accelerated growth in major Canadian provinces, driven in part by technological advancements and evolving patient needs during the COVID-19 pandemic. As an increasing number of hospitals pilot or implement these innovative programs, substantial resources have been allocated to support clinical teams. However, it is crucial to note that the vital roles played by clinical laboratories remain insufficiently acknowledged. This mini review aims to shed light on the diverse functions of clinical laboratories, spanning the preanalytical, analytical, and post-analytical phases within the HaH program context. Additionally, the review will explore recent advancements in clinical testing and the potential benefits of integrating new technologies into the HaH framework. Emphasizing the integral role of clinical laboratories, the discussion will address the current barriers hindering their active involvement, accompanied by proposed solutions. The capacity and efficiency of the HaH program hinge on sustained collaborative efforts from various teams, with clinical laboratories as crucial team players. Recognizing and addressing the specific challenges faced by clinical laboratories is essential for optimizing the overall performance and impact of the HaH initiative.

Turnaround Time of the Hematology Results of Cancer Patients During the COVID-19 Pandemic: An Opportunity to Initiate a Quality Improvement Process.

INTRODUCTION: Turnaround time (TAT) is a crucial clinical parameter that reflects the performance of a laboratory especially in the context of oncology and the COVID-19 pandemic. Based on the Lean Six Sigma methodology, we performed a retrospective analysis of the TAT of the complete blood count (CBC) of cancer patients with the aim of reducing this delay in the future. MATERIALS AND METHODS: Over one month of the COVID-19 pandemic, a retrospective evaluative audit was carried out on the TAT of the CBC in an oncology department. The root causes of failures of the overall analysis process were detected. The initiation of an improvement approach was implemented through the creation of an improvement flowchart and a new request form. The hospital information system (HIS) data were exported to Microsoft Excel® (Microsoft Corporation, Redmond, Washington, United States). Using the collected data, the mean, standard deviation, median, and interquartile range were calculated using IBM SPSS Statistics for Windows, Version 23, (Released 2015; IBM Corp., Armonk, New York, United States). All time intervals were expressed in minutes. RESULTS: Among 263 intra-laboratory TATs analyzed, the median intra-lab TAT was 56 minutes (interquartile range (IQR): 36-80 minutes). A total of 82% of the analyses were performed in less than 90 minutes with a predominance of the interval 30-59 at 42.9%. The main causes of failures were essentially the lack of time stamping of the samples as well as the lack of real-time communication between the biologists and the clinicians. The proposed improvement model is currently being approved by all practitioners whose main items are as follows: At the clinical department level, distinguish the request forms but also the labels of the samples of the oncology hospital by a particular color, indication of clinical signs and sampling time on the request forms and on the HIS. At the laboratory level, create a specific chain for oncology department samples, alarm notification on the HIS, and rapid telecommunication of results for vital situations. CONCLUSION: The intra-lab TAT of our study is biologically acceptable. Because our work is limited by the phases outside the control of the laboratory, it should lead to a continuous improvement project.

Integrated decentralized blood culture incubation: A step towards a 24/7 microbiology service?

To have an impact on the mortality of bloodstream infections, microbiological diagnostics of blood cultures (BC) should provide first results within 12 h. Here, we show how a decentralized BC incubation connected to the central BC incubators via a browser-based application significantly reduces turnaround times.

Application of LAMP coupled with NALF for precise detection of mycoplasma pneumoniae.

Mycoplasma pneumoniae (MP),as the most commonly infected respiratory pathogen in community-acquired pneumonia in preschool children,has becoming a prominent factor affecting children's respiratory health.Currently, there is a lack of easy, rapid, and accurate laboratory testing program for MP infection, which causes comparatively difficulty for clinical diagnostic.Here,we utilize loop-mediated isothermal amplification (LAMP) to amplify and characterize the P1 gene of MP, combined with nucleic acid lateral flow (NALF) for fast and visuallized detection of MP.Furthermore, we evaluated and analyzed the sensitivity, specificity and methodological consistency of the method.The results showed that the limit of detection(LoD) of MP-LAMP-NALF assay was down to 100 copys per reaction and there was no cross-reactivity with other pathogens infected the respiratory system. The concordance rate between MP-LAMP-NALF assay with quantitative real-time PCR was 94.3 %,which exhibiting excellent testing performance.We make superior the turnaround time of the MP-LAMP-NALF assay, which takes only about 50 min. In addition, there is no need for precision instruments and no restriction on the laboratory site.Collectively, LAMP-NALF assay targeting the P1 gene for Mycoplasma pneumoniae detection was a easy, precise and visual test which could be widely applied in outpatient and emergency departments or primary hospitals.When further optimized, it could be used as "point-of-care testing" of pathogens or multiple testing for pathogens.