AI Testing in Healthcare

1. AI Testing in Healthcare Introduction Artificial Intelligence in Healthcare and Life Sciences technology has seen a boom and is one of the fastest developing fields of medicine. The sector is full of inventions and changes because of the ever-growing demand. Home is where the health is! As life sciences organizations focus on improving care outcomes for patients, QA needs to evolve into the role of custodian of quality management systems and orchestrator of audit readiness. Why Quality Matters AI is redesigning our conception of AI Testing in Healthcare delivery at hyper- speed. A report estimated that we can expect a growth of up to $45.42 billion in 2022, from the current value of $18.38 billion. Despite rapid technological advancements, there are a few risks associated with this sector. If trust issues can arise from a cyber attack on a mobile or web application, imagine what a trust deficit could mean for industries that have a direct bearing on human life. Imagine the consequences! Any error can cause significant emotional, psychological, relational, and legal ramifications. The faith in these technologies would undoubtedly be shaken! For an industry that deals with human lives, putting customers front and center will help ensure quality not only at customer touchpoints but also across the customer journey. For this, QA needs to shift from an isolated function that occurs at the end of the product/service development lifecycle, to an end-to-end model. www.webomates.com Page 1

2. AI Testing in Healthcare Potential vulnerabilities of Healthcare Applications Cybersecurity due to the volume and sensitivity of personal data Changing requirements while staying within regulatory compliance Testing healthcare apps for web and mobile compatibility Significant dissatisfaction amongst users with respect to the quality of new products and the re-engineering of existing ones Implementing and integrating new systems smoothly Lack of technical expertise to test recovery and fault tolerance mechanism, ensuring availability and scalability of the system Reasons that enforce the importance of QA services The healthcare products require maximum accuracy to convey precise healthcare services to the patients. It can be made possible with vigorous software testing and QA services. Following are the reasons that enforce the importance of QA services in the highly critical health sector: www.webomates.com Page 2

3. AI Testing in Healthcare Ensuring FDA compliance The Food and Drug Administration (FDA) has compliance regulations and is responsible for ensuring medical devices in the United States are safe and effective throughout their total product lifecycle. These regulatory bodies also put an emphasis on creating quality products. You could be audited at any time. For instance, the FDA recommends quality audits happen every 12 months or less. So, you always need to be audit-ready! With Agile and DevOps at the center stone of the digital transformation, every new feature must be compliant with the mandatory regulatory requirements. Webomates CQ portal’s reporting & auditing capability makes sure the customer platform is FDA compliant. As every new build is released, Webomates CQ verifies the quality of the build. These auditable reports are the basis of getting the FDA approval of the product. Further to this, versions available on Cq-Portal help in the Change release process. Click on this link to read more : AI Testing in Healthcare www.webomates.com Page 3