SK Gujjar - Techno Blog

  Introduction: Efficient and accurate data mapping is a critical aspect of implementing the Fast Healthcare Interoperability Resources (FHIR) standard in healthcare systems. With the help of innovative technologies like ChatGPT, we can significantly enhance productivity in FHIR data mapping processes. In this article, we will explore effective strategies and techniques to optimize productivity and streamline FHIR data mapping, enabling healthcare organizations to achieve seamless interoperability and improved patient care. Leverage Prompt Engineering Techniques: Prompt engineering is a key strategy to unlock the full potential of ChatGPT for FHIR data mapping. By carefully designing and refining the prompts provided to the model, we can elicit more accurate and relevant mapping outputs. Experiment with different prompt variations, utilize specific terminology, and provide clear instructions to guide the model towards desired outcomes. The user provides the Entity /Resource data c...

  Introduction: Implementing an efficient branching strategy is crucial for software development teams seeking to enhance productivity and streamline their workflows. By adopting the right strategies and techniques, teams can minimize conflicts, improve collaboration, fast to market (PROD) and accelerate the development cycle. In this article, we will explore various approaches to branching and provide practical insights to increase productivity. Understanding Branching: We'll start by explaining the concept of branching and its significance in software development. We'll explore different types of branches, such as mainline, feature, release, and hotfix branches, and discuss when to use each. This all needed for continues delivery of the product /project. Within the realm of product development, a primary branch known as the "mainline" holds all the existing code. Feature branches stem from the mainline, where new feature code is added, tested, and subsequently merg...

Introduction: In the fast-paced world of software development, efficient test estimation is crucial for delivering high-quality products within tight timelines. However, accurately estimating testing efforts can be a complex task that requires careful planning and consideration. In this article, we will explore effective strategies and techniques to increase productivity in software test estimation, enabling teams to optimize their processes and deliver exceptional results. Understand the Project Scope and Requirements: The foundation of accurate test estimation lies in a clear understanding of the project scope and requirements. Collaborate closely with stakeholders, developers, and business analysts to gather all necessary information. Categorize the requirements as functional and non-functional requirements. From functional requirements list - bucket them into Complex, Medium, and Simple based on the complexity. Note: How to estimate the non-functional requirement will be addressed ...

Introduction: Data migration projects are complex endeavors that involve transferring data from one system to another, Millions, Trillions of data will be there. Ensuring the accuracy, completeness, and integrity of the migrated data is crucial for the success of these projects. In this article, we will explore the various testing needs in data migration projects and provide a comprehensive guide to writing effective test cases. Understanding the Migration process: Data migration projects typically involve multiple stages, including data extraction, transformation, loading, and validation. Lot of market available tools & Cloud offerings are present to leverage for these activities. Each stage requires specific testing activities to verify the integrity and reliability of the migrated data. These include source data validation, data mapping, transformation testing, data quality testing, reconciliation (count match), Parent child relationship and once the migrated data appears on the...