Medical Laboratory Professionals Week 2024
Medical Laboratory Professionals Week 2024
Medical Laboratory Professionals Week (MLPW) is recognised every year in the last full week of April. It’s an opportunity to increase the public understanding of, and appreciation for, the hard work of clinical laboratory staff around the world. It’s also an opportunity to inject a little fun into the laboratory. So, this year, we’ve created a Lab Professionals QC Bingo card. Have a go and see how many your laboratory can get!
How many boxes does your lab tick?
If you’re calling Bingo! you must be an Acusera 24.7 customer. If not, keep reading to find out how you can make daily life in your laboratory more straightforward.
What are Medical Laboratory Professionals?
Medicine wouldn’t be where it is today without the work of these laboratory professionals. They’re on the frontline. Around 70% of medical decisions are based on results provided by medical laboratory staff. That’s a lot of pressure on the labs to make sure their results are accurate. Clinical laboratory staff not only perform the tests used to guide diagnosis and disease prevention, but they also check all the tests they use through rigorous quality control (QC) procedures.
This involves testing samples of known values to prove that the test system and its components perform as they should and provide accurate results. To do this, laboratories require QC material. It’s important that what’s in a QC is as similar to what you’d find in a patient sample as possible. This is known as commutability. Good commutability helps limit cross-reactivity in the test and inaccurate results.
It’s also important to make sure the QC material has concentrations of analytes at similar values to those used to make diagnostic decisions. If you wanted to validate the length of the ruler on your desk, it wouldn’t be helpful to set it down on a 100m running track. Similarly, when laboratory professionals want to ensure a test is producing accurate results, they want to test the system at the critical values used to make medical decisions so that they can be confident the results at these values are accurate.
Once lab staff have confirmed the accuracy of their tests, they can begin testing patient samples. For most people, what happens to a sample after it’s taken is a bit of a mystery. MLPW is the perfect opportunity to unravel this a little:
After your sample is collected, it gets sent over to the lab. Even just moving it there needs careful handling to make sure it’s still good for testing when it arrives. Once it’s in the lab, the team checks the equipment to make sure it’s working right and giving accurate results. The QC procedure varies depending on what they’re testing for, but they always make sure their tests are legitimate. Once they’ve checked everything and carried out the tests, a pathologist looks at the results to figure out what’s going on. They use this information to help decide on the best treatment plan for you.
Even this watered-down explanation makes it sound like a lot of work, right? At Randox, we recognise the vital role and dedicated efforts of medical laboratory professionals, and the invaluable contributions they make to society, and we hope that now, you do too.
Acusera 24.7
Bingo! That’s exactly how our customers feel when they realise how much time Acusera 24.7 can save them. Our innovative and intuitive QC data software is cloud-based, allowing you to log in from anywhere in the world to review your QC data.
Along with a wide range of interactive charts, including Levey-Jennings charts, Acusera 24.7 determines measurement uncertainty and sigma metrics for you, saving you the time and stress of manually calculating these tricky statistical analyses. And that’s just the beginning. Acusera 24.7 can link to LIMS for automated data entry, meaning lab staff don’t have to manual type long datasets, unless they want to of course; we also provide both semi-automated data upload and manual data entry options.
Access to a range of reports has never been easier. Acusera 24.7 is particularly useful when gaining or renewing your accreditation, and live peer group QC data, to give additional confidence in the accuracy of your results.
But this article is supposed to be about laboratory professionals, so we won’t bang on about it anymore. We just want everyone to know about Acusera 24.7 so they can get that daily bingo! feeling for themselves. If you want to learn more about our reports, charts, advanced statistical analysis, Acusera 24.7 more generally, or how Acusera 24.7 can help you achieve your accreditation, you can follow the links to the relevant blog post.
Last year, we interviewed two of our laboratory staff, Dean and Meadhbh, to find out what a normal day looked like for them. To find out what a day in the life of a laboratory professional is like, take a look at the interviews here
If you’d like to get in touch with us to discuss the advantages of Acusera 24.7, or you’ve made up your mind and want to get in on the action, reach out to us at marketing@randox.com. We’re always happy to brag about how great Acusera 24.7 is, and how we make life simpler for more and more laboratories every day.
RIQAS Performance Assessment – Z Score vs SDI
Z Score vs SDI
You work hard to implement top class quality control in all areas of your laboratory. The success of your labours is reported to you through your External Quality Assessment (EQA) results. It can be frustrating when your report is returned, only for you to find that you’ve been assigned a poor performance score due to other laboratories in your participation group.
At RIQAS, we want your EQA results to reflect your performance, not that of everyone else, to truly illustrate the efficacy of your quality control procedures. This is why, instead of Z scores, we report your performance in terms of a Standard Deviation Index (SDI). However, we know that in some countries, you’re required to report a Z score. Don’t fret. You can still find this result in the .csv file provided with your report.
A Z score is a statistical measurement that describes a value’s relationship to the mean of a group of values. In other words, it’s a value calculated to tell us how many standard deviations (SDs) a result is from the expected mean. Z score is reported in terms of SD’s, therefore a Z score of 0 shows the result is identical to the mean.
While useful in many cases, when used in EQA, a Z score can give a false perception of performance. We want RIQAS participant performance assessment to be based on their individual performance, rather than being impacted by how well, or poorly, the other laboratories in the group performed for a sample.
Z score is calculated using a variable SD. This means that as results are added, the mean and SD can change. For example, if overall performance for a sample improves, the CV associated with the data will decrease, causing an increase in Z score. Let’s take a quick look at how RIQAS performance assessment works, and then we can get into SDI.
RIQAS Performance Assessment.
Our target scoring system has been developed to provide a simple interpretation of your laboratory’s performance. To calculate a target score, your result is calculated as a percentage deviation (V) from the Mean for Comparison. This deviation is then compared to a Target Deviation for Performance Assessment (TDPA) to calculate the Target Score.
The difference between your result and the mean for comparison is expressed as a Target Score (TS) using the following mathematical formulae:
The better your percentage deviation compared to the TDPA, the higher your Target Score will be.
TDPA are set to encourage participants to achieve and maintain acceptable performance. Target Deviations are assigned to be fit-for-purpose and take all possible sources of variation into account, including sample homogeneity and stability as per ISO/IEC17043, ISO13528 and IUPAC.
In general, the TDPA is set so that ~10% laboratories achieve Target Scores less than 50. However, depending on homogeneity and stability, the TDPAs may be adjusted, so that participants’ performance is not adversely affected by sample variability. If your % deviation (V) is equal to the Target Deviation for Performance Assessment (TDPA) then a target score of 50 is achieved.
RIQAS reviews TDPAs annually and the methods used to assign them have been agreed by the RIQAS Advisory Panel.
Standard Deviation Index (SDI)
To provide a more accurate assessment of performance, we use SDI instead of Z score. SDI is a score which compares the participant’s difference from the assigned value (mean for comparison) with an evaluation interval called the Standard Deviation for Performance Assessment (SDPA).
The SDPA calculation involves a series of steps. First, we calculate a CV for Performance assessment (CVPA) as shown below:
As mentioned, the TPDA is normally set so that ~10% of laboratories achieve a TS less than 50. In such cases, the t-value used to convert TDPA to CVPA is ~1.645. However, depending on homogeneity and stability, the TDPA may need be increased, so that participants’ performance is not adversely affected by sample variability. In such cases less than 10% of laboratories will have poor performance, and a larger t-value will be chosen to convert TDPA to CVPA
We then convert CVPA to SDPA:
Using this equation, an initial SDPA is calculated for every mean for comparison (i.e. for all methods, method, and instrument statistics). However, for new parameters or those which have small participation numbers, it’s not always possible to assign a target deviation, TDPA or SDPA. In such cases, the SDPA will be the SD calculated when the mean for comparisons is generated.
According to ISO/IEC17043, when the assigned value is based on consensus (mean for comparison), the uncertainty of the assigned value must be calculated and combined with the SDPA when it is considered to be significant. This forms an adjusted SDPA, which is used to calculate the participant’s performance in terms of SDI.
Using the SDPAadjusted we can calculate SDI using the formula below:
On your RIQAS report, you’ll find the SDI associated with the current sample in the text section of each report page. We also provide your last 20 SDIs, plotted on a Levey-Jennings chart, along with an indication of the mean for comparison for each sample (I = Instrument group, M = Method group, or A = All Methods group). Acceptable performance is an SDI of less than ± 2.
RIQAS EQA
RIQAS is the world’s largest EQA scheme with more than 75,000 laboratory participants spanning over 138 countries. Choosing an EQA provider is no easy task. That’s why we’ve produce a guide to help you find the right one for you. You can download it here.
At RIQAS, we’re always coming up with new ways to make your performance assessment and result interpretation even easier. We’re also proud of our new programmes and pilot schemes. This year, we’re running pilot programmes for Anti-psychotic drugs, Chagas and Blood Typing.
If you’d like to find out more about the range of programmes we provide, visit our website or download our brochure. Alternatively, you can get in touch with us at marketing@randox.com.
Patient-Centric, Smart Quality Controls for Immunoassays
In 2022, an updated version of ISO15189 was released, placing an emphasis on risk management with the aim of mitigating risk to patients. This updated document means that rigorous quality control (QC) procedures are more important than ever.
ISO15189:2022 cites the use of third-party controls with commutable matrices manufactured to provide concentrations close to clinical decision limits, among others, as crucial considerations. ISO15189:2022 also highlights the importance of identifying and minimising errors in the pre-analytical process. ‘Load & Go’ or ‘Smart’ quality controls are becoming increasingly popular in laboratories around the world to realise this objective.
Smart controls are designed to optimise laboratory workflows, allowing laboratorians to load the control onto an instrument where it can remain until its expiry date, bringing several advantages to laboratories who run immunoassays.
The first is the minimisation of human error and other pre-analytical errors. As these controls are ready-to-go out of the box, there is no chance of reconstitution errors which can result in deviations from target values and contamination which could lead to problematic cross-reactions. Smart quality controls reduce the risk of stability issues resulting from aliquoting or the repetitive opening of vials, and eliminate the possibility of mislabelled controls, while freeing up more storage space.
Smart controls also offer the possibility of improvements in other areas of the laboratory. The reduction in the preparation required for these controls allows laboratories to use this time improving other elements of their QC practices, such as QC analysis and process improvement. Less steps in the QC process not only means time saved in the process itself, but less paperwork for laboratory staff, further freeing up time for more useful practices.
Immunoassay Smart quality controls provide laboratories with an effective QC solution which aids in the optimisation of workflows and the reduction of test turnaround times and the risk of human error throughout the QC process. However, if considering a Smart quality controls for your laboratory, its important to remember the other factors which make a good QC including matrix, stability, and clinically relevant concentrations.
The New Acusera Smart range has been designed to streamline workflows, minimise human error and reduce the strain on your cold storage. The convenient design means these controls can be loaded directly onto the analyser allowing the automation of the QC process, reducing turnaround times and increasing efficiency.
As well as the Immunoassay control, the Acusera Smart range also includes Clinical Chemistry, Liquid Cardiac and Parathyroid Hormone controls. We offer two options: Acusera SmartScan and Acusera SmartLoad. Take a look at the graphic below for more details.
We will be adding more controls to our Smart range soon. To stay up to date with this and all our other product releases, join our mailing list.
If you’d like some more information on any of the products in the Acusera range, don’t hesitate to get in touch. You can contact us at marketing@randox.com.
Meeting Accreditation Guidelines with Acusera 24.7
At Randox Quality Control, we are never finished shouting about how great our interlaboratory comparison and peer group reporting software is. If you’ve had a look yourself, you’ll know exactly why. Acusera 24.7 is full of fetching, interactive charts, and useful, detailed reports, including measurement uncertainty, to help you streamline your QC procedure.
But Acusera 24.7 is so much more than this. Our team are constantly looking for innovative ways to update and improve our live, cloud-based software. Much of this comes from talking to our subscribers and finding out what they want and how they want to do it. Our team also happens to include some serious accreditation enthusiasts. So, we decided to put their passion to work. We’re regularly coming up with new measures to make meeting the guidelines set out by various accreditation bodies, including ISO15189, as simple for you as we can.
In this article, we’ll look at some of the accreditation requirements and the features we’ve included in Acusera 24.7 to simplify the process for you.
QC management tools
Its one thing to look at the features of Acusera 24.7, but what do the various guidelines have to say about QC management tools? Let’s look at some of the major accreditation literature.
ISO15189:2022
The new version of ISO15189 includes updates which aim to place more emphasis on risk management and mitigating risk to the patient. Here’s what the 2022 version has to say about QC management tools:
The Clinical Laboratory Improvement Amendments 1988 (CLIA)
CLIA ’88 regulations are federal standards applicable to all U.S. facilities or sites that test human specimens for health assessment or to diagnose, prevent, or treat disease. These regulations state the following related to QC management:
COLA Accreditation
The Commission on Office Laboratory Accreditation (COLA) is another recognised laboratory accreditation in the U.S. and is a third-party accreditation organisation that ensures laboratories comply with federal regulations, including those set by CLIA. I’m sure you’re catching the trend here:
Meeting accreditation with Acusera 24.7
Acusera 24.7 offers a flexible approach to help laboratories meet all the QC accreditation requirements detailed above, including CLIA, COLA, CAP, and ISO15189.
Our user-friendly, cloud-based software allows users to effortless run statistical analysis including Coefficient of Variation Index (CVI), Standard Deviation Index (SDI), % Bias, Total Error, Sigma Metrics and more! Find out more about how we can aid you in your statistical analysis in our blog, Advanced Statistics with Acusera 24.7.
Acusera 24.7 can also create fully interactive Levey-Jennings charts, and a selection of histograms to provide a wide range of options for the graphical representation of your data. The interactive features of our charts allow you to record events such as lot changes and calibration events directly on to the chart, helping you achieve not just accreditation, but a better understanding of what is going on in your laboratory. You can read more about our charts and the insights you can gain from them at our blog, Charting the course to laboratory excellence.
Acusera 24.7 can also provide you with a variety of reports to help you effortlessly achieve accreditation. From our Statistical Analysis and Exception reports to our Personalised Performance Summary Reports, we can help your laboratory to efficiently identify and document trends or shifts in performance. You can read all about our reports in our blog, Effortless Data Management: Acusera 24.7 Reports.
Measurement Uncertainty
Anyone involved in laboratory quality control will be aware of measurement uncertainty (MU), although that doesn’t mean everyone understands this tricky requirement. MU is defined as a parameter associated with the result of a measurement that characterises the dispersion of values that could reasonably be attributed to the measured quantity.
In other words, MU provides medical laboratories with an estimate of the overall variability in the values they report. The goal of MU is to quantify the doubt or range of possible values around the measurement result, helping to provide an understanding of the reliability and limitations of measurements. This helps ensure measured results are useful and not wildly inaccurate, allows meaningful comparisons with medical decision limits and previous results of the same kind in the same individual and finally, it’s a requirement of ISO15189:2022:
Calculating MU is no simple task and not one that can even be attempted without in depth know-how. These calculations can take a single member of staff 2 full working days to complete. That’s a lot of time away from their normal duties, especially if MU is to be reviewed regularly, as per ISO15189:2022.
Lucky for you, Acusera 24.7 can calculate you MU in seconds, rather than days, and provide you with a report. This report can be shown to your accreditation surveyor, and you can consider the MU box ticked. You can read more about Acusera 24.7 and MU in our Advanced Statistics blog, or in our educational guide How to Measure Uncertainty.
Peer Group Reporting
The peer group reporting features of Acusera 24.7 are much more than just an added extra. Peer group reporting can help speed up the troubleshooting process, allowing you to determine whether an issue you are seeing is unique to you, or evident in the QC data of your peers. It can also provide you with more confidence in assigned target values and help make significant savings by improving your analytical performance, and therefore, your EQA performance.
A peer group reporting programme can also help meet regulatory requirements, like ISO15189:2022:
So, if you’re struggling to find a suitable EQA programme for your analytes, you might just be able to meet your accreditation with the peer group reporting features included in Acusera 24.7.
We’ve only begun to cover the features of this intuitive and efficient software. If you still aren’t convinced that Acusera 24.7 is right for QC data management in your laboratory, reach out to us today at marketing@randox.com. We’re always delighted to hear from you, and we’ll be happy to discuss any of the features of Acusera 24.7, or any reservations you may have.
Our customers can’t believe the gulf in class between Acusera 24.7 and other QC data management programmes.
Don’t get left behind.
Reach out to us today!
UKAS ISO15189:2022 Transition Update
Throughout 2023, UKAS have been hard at work training Assessment Managers and Technical Assessors on the new requirements of the updated ISO15189 guidelines, sharing information about the updated standard and developing the UKAS 15189:2022 Transition Hub providing a one-stop-shop for information on the ISO15189:2022 update.
Recently, UKAS have published a Transition update to remind laboratories of where they stand in seeking their updated accreditation. In this update, UKAS state “As per the UKAS transition plan, all assessments due to take place from the 1st January 2024 will be to ISO15189:2022.”
A gap analysis will be required one month prior to transition assessments, detailing the gaps and the actions which have been taken to remedy these gaps. This should include evidence, such as updated documents and records, embedded in the gap analysis document, showing what action has been taken to bring a laboratory’s practices in line with the updated standard.
An important note included in this transition update is , “UKAS cannot grant accreditation on intent; organisations shall make the necessary changes and have implemented these prior to the transition assessment.” So if your accreditation assessment is due soon, you might want to make use of our ISO15189:2022 Accreditation Guide to assist you in your gap analysis to ensure you don’t miss out.
This is crucial for laboratories because failure to align with the 2022 version of the standard before the deadline of 6th December 2025 will result in a suspension of ISO15189 accreditation for up to 6 months.
Some of the key accreditation updates include:
You can find more information to assist in your gap analysis and achieving ISO15189:2022 accreditation our ISO15189:2022 Accreditation Guide – a free PDF is available below.
Randox Quality Control’s Acusera range provides true third part quality controls designed to help you achieve all aspects of ISO15189:2022 accreditation including commutable matrices containing consistent, clinically relevant concentrations with unrivalled consolidation of analytes. To learn more about our range of quality control products, visit our website or, get in touch today at marketing@randox.com
Advanced Statistics with Acusera 24.7
The only thing that sounds more terrifying than statistics, is advanced statistics. For many of us, the dread associated with having to carry out complex calculations can be too much to bear. For others, statistics are not just a set of numbers; they’re a captivating puzzle waiting to be solved. The allure of dissecting intricate patterns, unravelling hidden relationships, and drawing meaningful conclusions makes these statistical enthusiasts embrace the challenges of advanced statistics with excitement rather than apprehension.
No matter which camp you’re in, we bet you’re going to love the advanced statistics features included in Acusera 24.7. From Uncertainty of Measurement to Sigma Metrics, we’ve got you covered. Let’s explore these features and how we can make your statistical analysis easier than ever before.
Measurement Uncertainty
If you’re involved in laboratory quality control, you’ll have heard all about measurement uncertainty (MU). To some it’s intuitive. To some it’s a labyrinth. MU is defined as a parameter associated with the result of a measurement that characterises the dispersion of values that could reasonably be attributed to the measured quantity. For example, if we say the pencil below measures 16cm ± 1cm, at the 95% confidence level we are really saying that we are 95% sure that the pencil measures between 15cm and 17cm.
In other words, the calculation of MU gives medical laboratories an estimate of the overall variability in the values they report. This is important for 3 reasons:
- It helps ensure the measured results are useful and not wildly inaccurate.
- It permits meaningful comparison of medical decision limits and previous results of the same kind in the same individual.
- It’s a regulatory requirement – ISO 15189:2022
All measurements involve some degree of inherent variability due to factors such as instrument limitations, environmental conditions, and biological variation. MU aims to quantify the doubt or range of possible values around the measurement result, helping to provide an understanding of the reliability and limitations of measurements. To complete this task comprehensively, the entire measurement process must be examined and should consider components such as systematic errors, random errors and uncertainties related to calibration, equipment, and the environment.
ISO 15189:2022 states:
So, if you are seeking ISO15189 accreditation, there’s no avoiding MU and advanced statistics. Lucky for you, Acusera 24.7 can calculate MU and provide you with a report which you can export to Excel or PDF for auditing or archiving.
By liberating you from the need to manually calculate MU for all your assays and control levels, Acusera 24.7 streamlines the statistical analysis process, freeing you up to complete your other essential duties. It also helps reduce the chance of errors in the calculation; after all, no matter how talented you are at mathematics, we all make mistakes. The real-time nature of this kind of monitoring means you don’t have to recalculate every time you get more data – simply press the refresh button and you’ll automatically get a new MU report.
By incorporating automated tools to calculate MU, you gain the ability to proactively pinpoint and rectify potential error sources, mitigating the risk of inaccurate measurements and the repercussions that may follow.
For more information on MU and how it’s calculated, see our education guide – How to Measure Uncertainty.
Sigma Metrics
The Sigma model was originally developed for the manufacturing industry as a method of process improvement focusing on minimising errors in process outputs. It has since been adopted by the medical laboratory to improve result reporting.
This model calculates the number of standard deviations or ‘Sigmas’ that fit within the quality specifications of the process – as the sources of error or variation are removed, the standard deviation becomes smaller, and the sigma score increases – 6 being the target. A 6 Sigma process can be expected to produce 3.4 defects, or false results, per million.
Using your predetermined performance limits, including biological variation (standard), RiliBÄK and CLIA, as the total allowable error (TEa), Acusera 24.7 can calculate a Sigma Score for a particular assay, method, or instrument, saving you the hassle of calculating this manually – freeing you up to investigate the sources of error and make improvements to your process.
This is displayed in our Statistical Metrics report along with Count, Bias%, and CV for your chosen range, your cumulative results and those from other Acusera 24.7 users from around the world to provide straightforward and comprehensive statistical analysis and peer group comparison.
Once you’ve found out your Sigma Score for an assay, you can use this to determine your QC frequency and the multi-rules you should apply to your QC. The higher your Sigma Score, the less multi-rules you need to apply to your analysis and the less often you need to run QC for that assay. The table below shows the multi-rules and QC frequencies associated with each Sigma Score.
Acusera 24.7 includes multi-rule capabilities that can be utilised to monitor your QC data and index it as accepted, rejected, or trigger an alert, depending on the pre-defined multi-rules against which you want to check your data. These features enable the identification of nonconformities and reduce the need for laborious manual statistical analysis while enhancing the accuracy and precision of the laboratory. To read more about the multi-rule features of Acusera 24.7, take a look at our educational guide – Understanding QC Multi-rules.
Now that we’ve found which of our assays are underperforming, we can begin to take corrective action. The Sigma Score is affected by bias and imprecision of laboratory results, therefore improving these values will increase the Sigma Score. Some of the steps a laboratory can take are:
- Improved staff training
- Instrument maintenance
- Frequent calibration
- Strict adherence to SOPs when preparing controls and calibrators.
If you are still in the dark ages, carrying out your statistical calculations and analysis manually, reach out to us today to learn more about the time and expense we can help you save. Every day, more people are discovering the power of Acusera 24.7 and the benefits it has in their laboratory.
The updates to ISO151589:2022 are based around increasing patient safety and reducing erroneous results, making advanced statistics essential. Assessors get excited when they see Acusera 24.7 in the lab because they know quitting time is that bit closer. Allow us to help you achieve your accreditation and provide the best possible patient care. With complete onboarding assistance and first-class customer support, you’ll always be ready to get to the bottom of any problems you might face. Get in touch today at marketing@randox.com
Effortless Data Management: Acusera 24.7 Reports
You’ve carried out your daily maintenance and run your IQC. You’ve got your results and now it’s time to type them up into one of your expansive spreadsheets. Reports
You’ve probably got your spreadsheet set up to calculate the required parameters already, but what if there’s an error in the formula? Or what if you make an error when entering your data? Or worse, what if you try to open the spreadsheet only to find that the file is corrupted or lost? If your Excel file is there, someone else might already be editing it, meaning you must wait until they’re finished before you can make any changes.
Even if you face none of these obstacles the labour-intensive statistics needed for performance review and validation might just keep you up at night.
Well, with Acusera 24.7, these concerns are history.
Whether you make use of our automated or semi-automated data entry options, you can be sure that the data put into the system is exactly that returned by your instrument. If you use the manual data entry option, we can’t remove the human error element – but with our simple and intuitive interface, we trust you’ll be flawless anyway. What’s more, the cloud-based nature of our software also means you won’t lose the data by mistake and unique access for each user allows multiple people to be logged in at the same time.
So, what next?
Well, you can view this data on our dashboard for fast and easy access to your results but delve a little deeper into Acusera 24.7 and you can access comprehensive, easy-to-read, customisable, reports designed to speed up the review process.
These reports include statistical analysis, exception reports, peer group statistics, uncertainty of measurement and advanced statistical metrics. The latter two we’ll look at in a dedicated article. For the others, however, let’s dive in and see how you could benefit from our range of extensive reports.
Statistical Analysis Reports
The first report we will look at is the statistical analysis report. This report allows you to view your IQC data from a specified date range, and compare it to your cumulative data, that is, all the IQC data you’ve collected since you began using that lot, as well as the peer group data for the same lot all within one screen. If you are part of a chain of laboratories, you can compare this data with your laboratory group to see how your lab stacks up by using the World/Group toggle button.
This report provides you with the count, mean, SD, CV, SDI and CVI for a lot and can be organised by assay, as shown in the image below, instrument, or method, allowing you full freedom to customise this report to suit your needs. Don’t forget, like all our reports and charts, this data is fully exportable to PDF or Excel for filing or data review.
Handy, right? This report provides you with everything you need to carry out the validation and verification of new IQC lots, plus much more. We’ll look at this in more detail in an upcoming article.
Exception Reports
If you wish to determine your best and worst-performing tests, our exception report is perfect for you. This report is designed to quickly and easily identify assays with a high percentage of errors. The exception report provides an on-screen summary of the number of QC results for each individual assay and control lot that fall within the following categories: <2SD, 2-3SD and >3SD. This comprehensive performance review can be filtered: by clicking on the top of the ‘>3DSI’ column, this report will display assays in descending order with your worst-performing assays at the top, as shown below.
Filtering by ‘<2SDI’, it will display the same data with your best-performing assays at the top.
With this information, you can determine in which of your assay’s failures most often occur and encourage staff to look a little more closely at why failures arise and identify changes to improve and minimise errors.
Peer Group Statistics Reports
Now that you have figured out the performance of your assays, you’ll want to see how you compare with others running the same tests. Our Peer Group Statistics Report is your new best friend.
Updated live and in real-time, with no submission deadlines, you can compare your statistics to those of your peer group, determined by analyte, method, instrument manufacturer and model.
Simply select the IQC lot you wish to analyse and Acusera 24.7 will generate the data for you, displaying the count of QC data, mean, SD and CV, giving you comprehensive insight into your performance vs your peers.
You can customise this report even further. If you select an analyte, we’ll show you the data for that analyte alone. If not, we’ll show you the information for all analytes related to that lot. The same goes for specifying a date range – if you choose a range, we’ll show you the data inside that range alone. If not, we’ll show you all the data for your chosen lot.
By clicking on the headers, you can filter the data – 1 click will display the data in ascending order, 2 will show you a list in descending order and 3 clicks will reset the table.
When these reports are combined with the other impressive features of Acusera 24.7, like our fully customisable charts or advanced statistical analysis, this software can help streamline your IQC procedure and data review process.
When the accreditors come knocking, others will be scuffling around trying to gather multitudes of reports and files, but you will be sitting with a smile on your face and your feet up, because you’ve got Acusera 24.7.
With full onboarding assistance and technical support that’s top-of-the-class, you’ll always have someone to help you get to the bottom of any problems that you face.
If you haven’t already booked a demo, get in touch with us today and let us show you how much time we can save you with this innovative and intuitive software. Alternatively, take a look at our Resource Hub for some material on Acusera 24.7 or Acusera IQC.
To streamline your QC Data analysis, get in touch with us at marketing@randox.com.
Charting the Course to Laboratory Excellence
Are you still using spreadsheets for your QC data and Charts?
You’ve been left behind.
But don’t worry!
Your laboratory’s ultimate ally in the quest for precision and excellence has arrived.
Acusera 24.7 is a tool that not only streamlines your QC data but also empowers you with a treasure trove of invaluable charts.
These charts are more than just numbers and lines; they are your secret weapon for troubleshooting, achieving accreditation, and driving continuous process improvement.
Acusera 24.7 doesn’t just offer charts. It offers a symphony of insights at your fingertips. From the precision of interactive Levey-Jennings charts to the competitive edge of performance summary charts for peer group comparison, from the rhythm of weekly mean charts to the clarity of reliable SD histograms – these charts are your compass in the world of quality control.
The best part?
You’re in control.
Tailor these charts to your unique needs, whether you’re dealing with single or multiple analytes, an abundance of QC lots, fixed or variable SDs, or need to pinpoint data within a specific date range.
Join us on a journey through the world of Acusera 24.7’s charts, where data becomes your strategic advantage, and discover why more laboratories are choosing Acusera 24.7 for QC data management every day.
Levey-Jennings Charts
Every laboratorian has seen countless Levey-Jennings charts and for good reason.
These charts are the unsung heroes of quality control in the laboratory.
They offer a visual snapshot of data over time, helping to detect trends, outliers, and systematic errors that might otherwise go unnoticed. Levey-Jennings charts are like the heartbeat monitor of your laboratory, providing real-time insights into the health of your analytical processes.
We’ve taken Levey-Jennings charts to the next level.
Our colourful graphs might look like they belong in a modern art museum, but trust me, they’re more than just eye candy.
Acusera 24.7’s Levey-Jennings charts are like the laboratory’s personal detective, sniffing out anomalies and shifts and making sure your QC data behaves.
Let’s have a look at what you can do with the Acusera 24.7 interactive Levey-Jennings charts.
The screenshot below shows a Levey-Jennings chart for a single analyte, with the date on the X-axis and SD on the Y-axis. On this chart, you can see data points displayed in different colours. Green data points indicate an acceptable result. Orange points show data that has triggered your predefined alert criteria, while red points are those that have broken your set rejection rules.
The lines marked on the chart below represent events that have been recorded. Instrument events such as calibration events or maintenance can be recorded to monitor their effects on your QC, allowing you to quickly see how these events relate to any deviations or improvements in your QC data. For example, after the event labelled ‘Reagent lot change’ you can see a series of alerts and failures. Marking this event on the chart allows for an at-a-glance explanation of this deviation. These events are completely customisable so you can record any relevant information you want!
Finally, data points that appear as a triangle indicate a comment has been added. What text is included in the comment is completely up to you!
The next screenshot below shows a Levey-Jennings chart containing QC data for all the tests included in the Clinical Chemistry Panel.
Acusera 24.7 panels allow you to group related tests together, helping increase the efficiency of your data review.
It looks great, right?
Maybe a little confusing.
The screenshot is perhaps a little deceptive.
When viewing these charts live, you can view the data as a whole, or home in on individual data sets by simply hovering over the data you want to see. You can also selected a deselect datasets at will by clicking on its name in the list below the chart.
The screenshot below shows an example of this.
All the charts we’ve looked at so far have had a fixed 3SD on the Y-axis.
For a more in-depth review of your data, you may wish to expand this axis.
With the click of a button, you can expand the Y-axis to include all your data points. See below for an example.
In some cases, you may wish to view this data displayed as ‘% Deviation’.
Again, with the click of a single button, you can convert the Y-axis to show just that, as shown below.
Performance Summary Charts
Peer group comparison of IQC data has a lot of benefits.
Comparing your data with other laboratories that use the same QC lot, instrument, method and more, can help you with troubleshooting and continuous process improvement.
The Acusera 24.7 Performance Summary Charts do all the work for you.
As shown in the screenshot below, these charts display your data and how it compares to your peers including mean, CV, and SD.
You can also view this data in a table to get a more detailed picture of your performance.
Like the Levey-Jennings charts, you can also combine this information for panels or a selection of multiple lots and analytes. You can see an example below:
Weekly Mean Charts
Weekly Mean Charts are one of the new features in our latest software release.
They allow you to view your weekly count of QC results for a specific instrument, assay, or lot.
Below is an example in a bar chart format.
You can also view this data as a line graph, which plots the weekly mean of results from multiple instruments using the same assay and QC lot, allowing a comprehensive overview of your QC data.
Or you can view your weekly means for a range of tests and panels.
Finally, the SD Histograms allow you to view the distribution of your results, for an overview of performance.
When used with Acusera 24.7’s suite of advanced statistical tools and reports, our charts can help you reduce the time you spend investigating non-conformances.
When the dreaded accreditation assessment approaches, you can relax. While others are scrambling to find documentation, you can rest assured that all the QC data you need is easily accessible.
Assessors love to see Acusera 24.7 load when they enter a laboratory because they understand how much easier QC management is when using our software.
We provide complete onboarding assistance and full training on the software for new customers while delivering prompt and effective customer support for existing users. The Acusera 24.7 and QC operations teams are always eager to help new and existing Acusera 24.7 users with any issues they experience.
To learn more about the features of this ground-breaking software, visit our website here.
Alternatively, feel free to reach out to us at marketing@randox.com for more information or to arrange a demo!
From Fear to Freedom: A QC Data Management Revolution
What if we told you we had a solution to the multitude of monotonous hours spent analysing reams of IQC data and could provide you with an intuitive tool packed with comprehensive and customisable reports, interactive charts, and automated statistical analysis to help improve your QC data management?
Perhaps it sounds too good to be true?
This time, it isn’t.
Uncertainty of Measurement. 6Sigma. QC Multi-rules. These words can strike fear into the hearts of even the most experienced laboratory staff.
With Acusera 24.7, we’ve reached under the bed and forced the monster that is advanced statistical analysis out into the cold.
Acusera 24.7 is a live, cloud-based, interlaboratory QC data management and peer group comparison software.
A mouthful. I know.
But let’s break it down
A live, cloud-based software means you can access your QC data from anywhere, anytime.
Bid farewell to the labyrinth of folders you hunt through when troubleshooting or looking for a specific dataset.
Interlaboratory management describes the momentous task many QC managers face – monitoring the QC performance of multiple laboratories in different locations, ensuring they all maintain the high standards required for accreditation and accurate patient results.
Unlike some big-name subscription services, we encourage you to use our software at different locations to help you monitor all your laboratories and instruments to see how their results stack up against one another.
Acusera 24.7 provides multiple levels of access which are completely customisable. This allows you to grant or restrict access to different parts of the software depending on what is required by your staff. This also allows QC managers to view data from all their sites in one location without needing multiple email chains from each laboratory.
Peer group comparison? Isn’t that what EQA is for?
Well, you would be right.
Yes, EQA does provide a comparison with your peer group, but it doesn’t have exclusive rights.
There are many benefits to comparing your IQC data with your peer group. The real-time comparison data aids with troubleshooting, or you can show off how great you are to your friends and colleagues.
You can select your peer group for an instrument, method and more, providing you with a comprehensive picture of how your laboratory performance compares to your peers using the same lot of control.
There are no submission deadlines. One less thing for you to worry about.
Still think it sounds too good to be true?
Then let’s look at some of the software features and how they can be used to make your daily QC data management easier.
Charts
For many laboratories, review of their QC data is a momentous task involving an abundance of printouts with different data tables and graphs and hastily scribbled notes going back maybe months, if not years.
With Acusera 24.7’s interactive Levey-Jennings charts, you can see the QC data from a specified date range. This helps visualise trends and biases over any period to simplify the troubleshooting and lot validation processes, or, can be used as evidence during accreditation assessments. These charts can be generated for a single analyte or for multiple analytes and QC levels.
You can also add events to the graph to record factors that might impact the performance of your analyser such as preventive maintenance, calibrations or switching QC lots. So, when you come to review the QC data and see a shift in the results, you can see at a glance if there was an explanation for the change in QC results.
What’s more, the points plotted on the chart will appear in orange or red if they trigger your alert or reject protocols respectively. Those that appear as a triangle indicate a comment is attached. Comments can be added to any data point directly on the Levey-Jennings chart, allowing you to record any information relevant to the data, saving you time, not to mention the cost of all those sticky notes.
This complements the Panel feature of the software. Within Acusera 24.7 you can create a panel of tests, for example, a Liver Function Test panel, grouping all the tests together. You can then view all the QC data for this panel at the click of a few buttons. Shown below is the collective data for a clinical chemistry panel.
When you do need the paper copy, all the charts and reports found in Acusera 24.7 can be exported to Excel or PDF for independent analysis or printing, making it easy to bring your data to meetings or for hardcopy filing and audits.
For peer group comparison, you can get a performance summary chart. This chart basically does the analysis for you! You define the date and time range, and the software looks at all the data points within it for you and your peer group, comparing individual data, means, CVs and SDs. Like our other charts, you can combine any number of these for multi-analyte analysis.
Advanced Statistics
Some people love statistics. Others can think of nothing worse.
Either way, there’s a lot of work involved in advanced statistical analysis.
Even if you’re in the love camp, you might find yourself sickened before you’ve finished this metaphorical jar of marmite.
The role of a pathology laboratory is not to run QC and show off their statistical skills, but to provide accurate and appropriate patient results.
As the old saying goes, time is money.
But in your case, time is the difference between a fast or delayed diagnosis for a patient.
This may impact their condition or treatment.
By making use of the suite of statistical options included in Acusera 24.7, including QC Multi-rules, 6Sigma and Uncertainty of Measurement, you can focus on providing the most accurate and efficient testing for patients.
Data Entry
To save even more time, Acusera 24.7 can be integrated with many LIMS or Middleware packages for fully automated data transfer. At a predefined time, your internal software will send your QC data to a shared folder on your network and from there to a Randox Cloud IP address, meaning we don’t go into your IT system and take anything; we won’t cause any information security problems. This data is then taken from the cloud and populated onto 24.7.
All this in less time than it takes you to say, ‘fully automated data transfer.’
You can also import your data through a semi-automated upload procedure. For this, the data is exported from your LIMS or middleware and imported manually to your Acusera 24.7 account using an EDI import file. Simply put, all you have to do is send the file, and the software will populate it onto the system. Alternatively, you can upload the data manually on the simple and intuitive data entry page.
Acusera 24.7, while comprehensive and initially daunting due to its vast array of features, is incredibly easy to use. The Acusera 24.7 and QC operations teams are always eager to help new and existing Acusera 24.7 users with any issues they experience. We provide complete onboarding assistance and full training on the software for new customers while delivering prompt and effective customer support for existing users.
We’ve only begun to cover the range of features available on Acusera 24.7 for QC data management! For more information or to arrange a demo, get in touch with our team at marketing@randox.com. Or, you can take a look at our website here.
Pursuing Perfection: Insights into Global IQC Practices
In a time when medical laboratory personnel are pushed to their limits, internal quality control and quality management are easy to consider a nuisance. However, these processes are vital to ensure accuracy and precision in the potentially life-saving tests performed in these laboratories. Most High-to-middle-income countries have strict regulations governing quality procedures in medical laboratories, but global standardisation in these areas is lacking. Over 70% of clinical decisions are based on laboratory testing but many clinicians are unaware of the accuracy and precision limitations associated with many of these tests. This places the responsibility on laboratory staff to ensure that all results provided to clinical decision-makers are as true as possible. For this, they rely on IQC and a robust quality management system.
To determine the state of the industry, a report by the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Task Force on Global Laboratory Quality (TF-GLQ) surveyed over 100 IFCC full and affiliate members, receiving responses from 46 countries1. This survey consisted of a series of multiple-choice questions in relation to quality practices in their respective countries.
Findings by IFCC Task Force on Global Laboratory Quality
90% of respondents indicated that quality standards are in use in their country, despite being mandatory in only 46.7% of those countries.
These responses are encouraging showing that at least some level of predefined QC practice is implemented even in countries that do not legislatively mandate the inclusion of quality standards. This also hints that in those countries where it is not mandatory, it may soon become a requirement to adhere to a specified QC system. Nevertheless, in countries where regulatory measures are currently absent, the rigour of the implemented quality control procedures may not be adequate to ensure the accurate reporting of results.
42.5% of respondents indicated that IQC was not run in all laboratories in their country.
These respondents indicated that IQC is run in 50-99% of laboratories in their country. This less encouraging result shows that minimum IQC practices are not implemented globally. However, due to the multiple-choice nature of this survey, it is difficult to determine how drastic this issue is. Although it does raise the question of how these laboratories verify the precision of their results.
66.7% of respondents indicated that they use assay manufacturer quality control material.
This refers to first party quality control materials which are optimised by the manufacturer for use with a specific assay, instrument or method. These controls are often manufactured from the same material as the calibrator, making them less sensitive to subtle changes in performance, allowing them to mask weaknesses in the assay in question and therefore should be considered less effective options than third-party controls. Additionally, ISO15189:2022 encourage the use of third-party controls and require laboratories seeking accreditation that do not use third party controls to provide a sufficient explanation as to why this is the case.
60% of respondents indicated that not all laboratories in their country had written IQC policies and procedures.
This highlights an important aspect of a quality management system. Without written IQC policies and procedures it is almost impossible to standardise the IQC process and corrective action across laboratory staff, never mind on a national scale. Drafting this documentation can be cumbersome, however, many organisations can be contracted to assist with the drafting and implementation of these procedures for laboratories seeking to gain accreditation.
28.6% of respondents reported that manual interpretation of the IQC data was normal practice.
Manual data interpretation also poses challenges to the standardisation of IQC processes. Written IQC policies and procedures are crucial in implementing standard acceptance criteria for IQC results. Manual data interpretation also implements restrictions on the ability to carry out more advanced statistical analysis of the QC data.
Discussion
The implementation of robust IQC practices is crucial for ensuring the trueness and precision of the results produced by a laboratory. Used correctly, IQC can monitor variability caused by instrumentation and lot changes as well as various other sources of analytical error. ISO15189:2022 provides a thorough framework for designing rigorous IQC policies and procedures, highlighting key areas such as the use of third party QC material, levels of QC material, the frequency at which IQC should be completed, matrix composition, acceptance/rejection criteria and non-conformance procedures. For more information on ISO15189:2022 accreditation, take a look at our educational guide ISO15189:2022 Updates.
The results from this survey conducted by IFCC show a clear disparity between IQC processes around the globe, displaying differences in requirements, recommendations, and legislation. Standardisation of IQC is not without its challenges. However, by striving to achieve the highest possible levels of quality, and following the guidance laid out in ISO15189:2022, laboratories can be confident in the results they provide to clinicians.
Acusera Quality Control
The Acusera range offers unbiased, independent third party quality controls for medical and research laboratories of all shapes and sizes. Our assayed controls are provided with target values for most commercially available analysers, ensuring that your test menu will be covered. With enhanced stability, commutability and consolidation, all our controls are manufactured to provide a clinically relevant challenge to your test method, aiding in ISO15189 accreditation. For more specialist laboratories, our teams are happy to discuss your requirements and help to provide bespoke quality control material, providing an extremely flexible QC range.
Acusera 24.7
Designed for use with the Acusera range of third party controls, the Acusera 24•7 software will help you monitor and interpret your QC data. Access to an impressive range of features, including interactive charts, the automatic calculation of Measurement Uncertainty & Sigma Metrics and live peer group data generated from our extensive database of laboratory participants, ensures Acusera 24•7 is the most comprehensive package available. For laboratories performing manual review of their IQC data, Acusera 24•7 provides a comprehensive yet easy-to-use platform for advanced statistical analysis and monitoring of these data.
For more information on our Acusera range of IQC material, or Acusera 24•7, feel free to reach out to us at marketing@randox.com or alternatively, browse our range of literature at the QC Resource Hub
References
- Wheeler SE, Blasutig IM, Dabla PK, et al. Quality standards and internal quality control practices in medical laboratories: an IFCC global survey of member societies. Clinical Chemistry and Laboratory Medicine (CCLM). 2023;0(0). doi:10.1515/cclm-2023-0492
