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Healthcare Considerations for Modern Data Architectures: As modern healthcare creates more and more data, mining and using this data becomes critical for data-driven decision making, offering the potential for drastically improved health outcomes. However, the explosion of data sources and applications create challenges in how you architect solutions that not only are reliable, but also secure and compliant with HIPAA regulations.
Moving from a traditional single database to distributed data stores with semi-structured or unstructured data involves careful consideration. Which data store to use can’t be the only consideration. Where to operate this data store, its ability to support encryption technologies, to be deployed in a distributed architecture, to create auditable transaction logs, and its scalability and resiliency all must be considered. Not all data store technologies will fit the bill, nor will all deployment methods – is cloud better or on-premise? Which cloud providers can support all my requirements?
Once a well thought out data architecture is established, security must also be addressed, right up front in the design phase. Security best practices need to be followed to ensure sensitive data is protected properly, as it is gathered, as it is transmitted, and while it is stored and analyzed.
Distributed data can be a great fit for modern cloud delivered services, but cloud-based applications also require a different approach than traditional applications. Cloud technologies are built to support automated workflows, and automation tools and run books are key to ensuring consistency and reliability of your data and operations, but also to maintain compliance with regulations throughout the lifecycle of your applications.
All of these new technologies and approaches to data management are rife with pitfalls and challenges, but there IS hope! Understanding these issues and the best practices associated with each consideration can set you up for success.