A QA engineer from Public Sapient shares his expertise of implementing automated options in his award-winning BRICS challenge developed for the Nationwide Institute of Well being.
The applying of AI algorithms to biomedical analysis is a rising development in 2024. For instance, in October, the Nationwide Institute for Well being and Care Excellence offered AI expertise to analyze X-rays to detect damaged bones, whereas in November 2024, the Nationwide Institute of Well being developed an AI algorithm that helps match potential volunteers with medical trials. Nevertheless, whereas AI expertise has the potential to revolutionize medical analysis, thorough testing is required for it to be applied safely and useful for docs and sufferers.
Zhenis Ismagambetov, a High quality Assurance Engineer with huge expertise in QA, API testing, and automation, a creator of an authentic complete QA methodology presently working on the Biomedical Analysis Informatics Computing system challenge for the Nationwide Institute of Well being, shares his view on the rising position of automation in medical analysis, its advantages and the most effective methods to implement it. His method supplies precious insights for QA and testing groups throughout all industries, not restricted to this explicit area of analysis.
The Rising Function of Automation
“Despite the growing adoption of automated methods, the lack of automation remains one of the main problems for many teams,” notes Zhenis Ismagambetov. As there are nonetheless numerous groups that depend on guide testing, it slows down the event course of and creates further dangers of errors. Furthermore, it’s tough to scale the guide testing up, so its effectivity decreases considerably because the scope of the software program grows. The one answer for this situation is creating and implementing dependable automated strategies for repeating duties.
This method makes the testing course of extra environment friendly and dependable, which turns into essential in initiatives of a bigger scale or these associated to well being and issues of safety. Since 2023, Zhenis Ismagambetov has taken the place of Senior QA Engineer at Publicis Sapient, engaged on a BRICS (Biomedical Analysis Informatics Computing System) challenge for the Nationwide Institute of Heals within the US. The automated testing scripts diminished the time spent on guide testing by 40%, permitting the builders to launch the updates 30% quicker, swiftly responding to the altering calls for and prospects’ requests.
Environment friendly Automation in Apply
The methodology developed by Zhenis allowed the staff to create a contemporary and dependable analysis infrastructure that scientists and medical professionals can use for a broad vary of duties, reminiscent of analyzing sufferers’ information and conducting biomedical analysis. His contribution to course of automation and creating a sturdy code base performed a vital position in creating a novel answer, which has turn out to be a precious software for researchers within the US in addition to for worldwide information trade and scientific collaboration. Because the methodology allowed the staff to drastically decrease the time spent on guide testing, it helped the staff to offer the shopper with a sturdy platform for scientific analysis. At the moment, the platform is utilized by over 5,000 researchers, with over 85$ degree of person satisfaction, and over 200 worldwide partnerships established due to the platform.
Furthermore, Zhenis put a big effort in the direction of streamlining and bettering current working processes, establishing productive cross-team communication, which, in flip, boosted their productiveness. In October 2024, Zhenis Ismagambetov’s contribution to the BRICS Undertaking for the Nationwide Institute of Well being was honored with a prize on the Nationwide Enterprise Award.
One other instance illustrating the environment friendly implementation of automation expertise is the challenge developed by Zhenis Ismagambetov at Freddie Mac, one of many largest mortgage corporations within the US (one of many high 200 America’s largest public corporations), the place he labored from 2020 to 2023. The corporate supplies monetary companies to householders, homebuyers, and renters, making certain the soundness and affordability of the housing market.
Based mostly on his prior sensible expertise and information of such applied sciences as Selenium Internet Driver, Cucumber Framework, and Java programming language and dealing with a staff of over a dozen builders, enterprise analysts, and QA engineers, he applied an automatic answer that considerably reduce the time spent on copying information to the cloud servers and verifying it, processing tens of millions of database entries. The answer ensures that each one the workers use precise and legitimate information of their work, which improves the operation of the corporate as an entire.
Significance of Collaboration and Schooling
“However, integrating cutting-edge automation tools, such as AI-based solutions, is not enough to ensure the testing will be efficient,” factors out Zhenis Ismagambetov, “as even state-of-the-art technology can fail if it is used in the wrong way.” Consequently, together with implementing new automation instruments, one wants to make sure that all members of the staff get the mandatory schooling. Cross-team interplay and collaboration play a vital position: if creating and testing groups function individually, the effectivity of the testing itself drops, and the detected points take longer to repair. To fight this, the corporate must make a centered effort to enhance communication between groups and set up a productive trade of data in any respect phases of testing and improvement.
Discovering it necessary to share his methodology with others, Zhenis Ismagambetov has summarized his experience in high quality assurance and testing in a complete description of a QA methodology for QA Engineers and Testers. It proposes an built-in method that enables for the advance and standardization of testing processes, making them extra environment friendly and clear. It’s appropriate for groups of varied sizes, from startups to enterprise initiatives, and applies to the most recent technological developments, reminiscent of options primarily based on machine studying. The methodology presents a novel method encompassing the entire means of software program improvement, from planning to automation, help, detecting, and fixing errors. Being versatile and scalable on the similar time, it may be utilized in numerous industries, whereas the reliance on trendy instruments and Agile practices makes it attainable to shortly adapt it when adjustments come up, maintaining with high-quality requirements. Furthermore,
Zhenis participates in educating the following technology of builders and testers, presenting and instructing his methodology to college students at a number of IT faculties. His methodology had a profound influence on the software program improvement business, serving to corporations to cut back the variety of software program errors and speed up the method of bringing their merchandise to market. Via standardization of testing processes and integration of automated options, it allowed groups to deal with extra necessary duties at hand, reminiscent of exploratory testing, and gave a lift to the adoption of Agile methodology and automation throughout the entire business, rising the effectivity and scalability of the QA processes because of this.
Zhenis Ismagambetov concludes that sooner or later, each technological and communication expertise will stay important for individuals who wish to be environment friendly QA specialists and construct groups that work productively. The extra expertise and automation develop, the extra necessary it turns into to not implement a number of instruments and options individually however to comply with an built-in method that’s vital to ascertain a dependable testing and QA system, which is particularly necessary in areas with a excessive price of a mistake, reminiscent of biomedical analysis.
