In this lesson, we continue our guided tour of medical software, moving beyond initial requirements to explore the practical stages of development and deployment. We’ll delve into software design principles, the critical role of testing, and the complex decision-making processes, including signal detection and validation crucial for clinical utility. This part of the tour also introduces the exciting frontier of machine learning and artificial intelligence in healthcare, along with essential business considerations for bringing medical software to market.
🎯 Learning Objectives
• Understand the components of medical software design and architectural principles.
• Learn about the importance and process of software testing, including bug detection rates.
• Explore decision theory, including concepts like sensitivity and specificity, in medical software.
• Identify the three key steps of medical software validation: Valid Clinical, Analytical, and Clinical Validation.
• Gain insight into the evolving role of machine learning, AI, and business considerations in the medical software industry.
