A QA engineer from Public Sapient shares his expertise of implementing automated options in his award-winning BRICS mission 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 introduced 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 scientific 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 unique complete QA methodology presently working on the Biomedical Analysis Informatics Computing system mission for the Nationwide Institute of Well being, shares his view on the rising function of automation in medical analysis, its advantages and the perfect methods to implement it. His strategy supplies worthwhile 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 handbook testing, it slows down the event course of and creates further dangers of errors. Furthermore, it’s tough to scale the handbook testing up, so its effectivity decreases considerably because the scope of the software program grows. The one answer for this problem is creating and implementing dependable automated strategies for repeating duties.
This strategy 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 questions 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) mission for the Nationwide Institute of Heals within the US. The automated testing scripts diminished the time spent on handbook 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 crew 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 strong code base performed an important function in creating a novel answer, which has develop into a worthwhile software for researchers within the US in addition to for worldwide information change and scientific collaboration. Because the methodology allowed the crew to drastically decrease the time spent on handbook testing, it helped the crew to offer the consumer with a strong platform for scientific analysis. Presently, the platform is utilized by over 5,000 researchers, with over 85$ degree of person satisfaction, and over 200 worldwide partnerships established because of the platform.
Furthermore, Zhenis put a big effort in the direction of streamlining and enhancing present working processes, establishing productive cross-team communication, which, in flip, boosted their productiveness. In October 2024, Zhenis Ismagambetov’s contribution to the BRICS Mission for the Nationwide Institute of Well being was honored with a prize on the Nationwide Business Award.
One other instance illustrating the environment friendly implementation of automation expertise is the mission developed by Zhenis Ismagambetov at Freddie Mac, one of many largest mortgage firms within the US (one of many prime 200 America’s largest public firms), the place he labored from 2020 to 2023. The corporate supplies monetary companies to householders, homebuyers, and renters, making certain the steadiness and affordability of the housing market.
Primarily based on his prior sensible expertise and data of such applied sciences as Selenium Net Driver, Cucumber Framework, and Java programming language and dealing with a crew of over a dozen builders, enterprise analysts, and QA engineers, he applied an automatic answer that considerably lower 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 crew get the required training. Cross-team interplay and collaboration play an important function: 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 change of knowledge in any respect phases of testing and growth.
Discovering it essential 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 strategy 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 latest technological developments, reminiscent of options based mostly on machine studying. The methodology presents a novel strategy encompassing the entire means of software program growth, from planning to automation, assist, detecting, and fixing errors. Being versatile and scalable on the similar time, it may be utilized in varied industries, whereas the reliance on trendy instruments and Agile practices makes it potential to shortly adapt it when modifications come up, maintaining with high-quality requirements. Furthermore,
Zhenis participates in educating the following era of builders and testers, presenting and educating his methodology to college students at a number of IT faculties. His methodology had a profound impression on the software program growth trade, serving to firms to scale back the variety of software program errors and speed up the method of bringing their merchandise to market. By standardization of testing processes and integration of automated options, it allowed groups to deal with extra essential duties at hand, reminiscent of exploratory testing, and gave a lift to the adoption of Agile methodology and automation throughout the entire trade, growing the effectivity and scalability of the QA processes consequently.
Zhenis Ismagambetov concludes that sooner or later, each technological and communication expertise will stay essential for many who wish to be environment friendly QA specialists and construct groups that work productively. The extra expertise and automation develop, the extra essential it turns into to not implement a number of instruments and options individually however to observe an built-in strategy that’s mandatory to ascertain a dependable testing and QA system, which is very essential in areas with a excessive value of a mistake, reminiscent of biomedical analysis.
