A QA engineer from Public Sapient shares his expertise of implementing automated options in his award-winning BRICS venture 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 know-how 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. Nonetheless, whereas AI know-how has the potential to revolutionize medical analysis, thorough testing is required for it to be carried out safely and helpful 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 at present working on the Biomedical Analysis Informatics Computing system venture for the Nationwide Institute of Well being, shares his view on the rising function of automation in medical analysis, its advantages and the very best methods to implement it. His method gives worthwhile insights for QA and testing groups throughout all industries, not restricted to this specific discipline of analysis.
The Rising Position 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 a number of groups that depend on handbook testing, it slows down the event course of and creates extra 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 resolution for this challenge is growing 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 tasks 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) venture for the Nationwide Institute of Heals within the US. The automated testing scripts lowered 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 clients’ requests.
Environment friendly Automation in Follow
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, corresponding to analyzing sufferers’ knowledge and conducting biomedical analysis. His contribution to course of automation and growing a strong code base performed a vital function in creating a novel resolution, which has change into a worthwhile device for researchers within the US in addition to for worldwide knowledge trade and scientific collaboration. Because the methodology allowed the staff to drastically decrease the time spent on handbook testing, it helped the staff to offer the consumer with a strong platform for scientific analysis. Presently, the platform is utilized by over 5,000 researchers, with over 85$ stage of person satisfaction, and over 200 worldwide partnerships established because of the platform.
Furthermore, Zhenis put a big effort in direction of streamlining and bettering 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 Enterprise Award.
One other instance illustrating the environment friendly implementation of automation know-how is the venture developed by Zhenis Ismagambetov at Freddie Mac, one of many largest mortgage firms within the US (one of many high 200 America’s largest public firms), the place he labored from 2020 to 2023. The corporate gives monetary companies to householders, homebuyers, and renters, guaranteeing the steadiness and affordability of the housing market.
Based mostly on his prior sensible expertise and information of such applied sciences as Selenium Net Driver, Cucumber Framework, and Java programming language and dealing with a staff of over a dozen builders, enterprise analysts, and QA engineers, he carried out an automatic resolution that considerably minimize the time spent on copying knowledge to the cloud servers and verifying it, processing tens of millions of database entries. The answer ensures that each one the staff use precise and legitimate knowledge 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 required training. Cross-team interplay and collaboration play a vital function: if growing 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 targeted effort to enhance communication between groups and set up a productive trade of knowledge in any respect phases of testing and improvement.
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 method that permits for the development and standardization of testing processes, making them extra environment friendly and clear. It’s appropriate for groups of varied sizes, from startups to enterprise tasks, and applies to the most recent technological developments, corresponding to options primarily based on machine studying. The methodology presents a novel method encompassing the entire technique of software program improvement, from planning to automation, help, detecting, and fixing errors. Being versatile and scalable on the identical 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 modifications 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 colleges. His methodology had a profound influence on the software program improvement trade, serving to firms 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 essential duties at hand, corresponding to exploratory testing, and gave a lift to the adoption of Agile methodology and automation throughout the entire trade, 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 vital for many who need to be environment friendly QA specialists and construct groups that work productively. The extra know-how and automation develop, the extra essential it turns into to not implement a number of instruments and options individually however to comply with an built-in method that’s essential to determine a dependable testing and QA system, which is particularly essential in areas with a excessive value of a mistake, corresponding to biomedical analysis.
