When it comes to medical devices, the risk involved in the quality assurance process are higher than any other test scenario. After all, a human life could be at stake.
The need for quality assurance in the medical device sector has never been greater.
Like every other sector, the field of medicine has evolved significantly to accommodate new technological advances.
More and more, medical devices are based on embedded software. While this incorporation of technology inevitably means more complex QA processes, it also comes with the scope of automated testing.
In a new podcast with the Healthcare Weekly Magazine, Neri Lavi, MD at Qualitest US West, discusses the role of AI in the future of medical device testing.
For elaborate information on how AI is assisting in evolving QA processes of medical devices, listen to this podcast.
Topics discussed include:
- How, with the help of Artificial Intelligence, automated software testing can successfully carry out an entire test, including selecting the target device, tracking its response, making a record of the whole process and its outcome, and controlling the process more efficiently and quickly than traditional manual testing.
- Why test automation allows improvement at several stages through the whole process of the medical device development cycle.
- The Importance of V&V or Validation and Verification in testing medical device. While design validation makes sure that you are building the product, design verification ensures that you are building that product correctly.
- Tips to remember for successful FDA approval and conforming to regulations.
- Testing the healthcare provider system: A provider system should be able to enroll, terminate, reinstate and re-enroll a member, add or withdraw a dependent, create premium bills and handle payments through their extensive EMR infrastructure. Hence the system needs to be tested for ensuring that it can handle all the data that it receives and stores.
- Testing the ERP systems: ERP systems or Enterprise Resource Planning systems benefit the healthcare system by streamlining healthcare procedures, reducing operational cost and increasing profit, harnessing the best search facilities, having a centralized backup to fall back upon and providing the healthcare receivers with secure and remote access to databases through alternative devices.
- Preventing healthcare IT data breaches through AI. Though the integration of technology in the medical sector has ensured increased efficiency and innovative treatments and cures, with it, the risk of a data breach has come into the scenario, threatening the security of the system.
