Migrating Healthcare Data for All 50 States
Is it possible to test millions of healthcare records for the entire country? Sure it is. But what about in an agile environment that requires a quick feedback loop? This session will share a case study on how Dan Reale and his team were up against a tight deadline and struggling to test a data migration. With two testers on their scrum team and constantly shifting requirements, the team tested one state a day for their MVP launch. They realized this was not sustainable if they wanted to test all 50 states, so they implemented an automation framework that could help test faster. Taking their testing from one state per day, to one state in an under an hour quickly increased the feedback loop. Dan and his team learned that their automation, while cutting testing time drastically, had now changed the entire way the team worked. This case study will cover all aspects of the data migration journey and how the team ultimately shifted left.
Daniel Reale is a Senior Manager, Principal Quality Assurance Engineer at Dun & Bradstreet, who specializes in the design, development, and delivery of digital health services. He has over 12 years experience in quality assurance. His career has taken him through projects in various industries ranging from healthcare, aviation, telecom, and even pest control. He is passionate about helping build effective QA teams and tools by leading from past experiences. Dan holds a BS in Business Management from Widener University and lives in Brick, New Jersey with his wife, two boys and dog.