Intelligent Data as a Service (iDaaS) – Example Data Architecture

item pictureIn our previous article in this series we talked about common logical architectures found in intelligent data as a service (iDaaS) solution for the healthcare industry.

The process is laid out around how we approach the use case and how portfolio solutions are the basis for research into a common architecture. He continued by outlining the process of how we approach the use case by looking for successful customer portfolio solutions as a foundation for general architecture.

Having finished our discussions of common architectural elements, now is the time to look at a specific example. This article walks you through an example data integration scenario that shows how extending the previously discussed items provides an example of healthcare data integration scenarios.

architecture review

As mentioned earlier, the architectural details mentioned here are based on real solutions using open source technologies. The example scenario presented here is a common year revealed while searching for those solutions. Our goal is to provide guidance, not deep technical details.

This section covers visual presentations as they were presented, but are expected to evolve based on future research. There are many ways to represent each element in this structure, but we chose a format that we hope will be easier to understand. Feel free to post comments at the bottom of this post, or contact us directly with your feedback.

Now let’s look at the details in this architecture and define the solution.

iDaaS integration

This first look is for the overall data integrity architecture of iDaaS with the details populated discussed as logical elements earlier. Starting on the left side of the diagram, it will be the entry point for the actors you can expect for this use case. They represent edge devices and actors, who make requests and receive responses. these users They represent patients, vendors, suppliers, and medical personnel. the Officials Represents the medical staff assigned to manage the various health care operations.

All orders are entered through API management An element, used to secure and authenticate access to internal services and applications. The first group of items encountered is called iDaaS connectivity, Where we find all the different integration services for specific communication channels. These are just a few of the options available, some of them are very generic like iDaaS Connect a third party, but others are more specific to professional healthcare standards; iDaaS connect HL7, iDaaS connect EDI, iDaaS connect FHIR, iDaaS connect Blue Button, And iDaaS connect ePrescribe. Each of these individual elements are integration services that deal with messaging standards and the required transition between systems and those standards.

the Connect iDaaS Services will record events and receive event notification from iDaaS binding events. This is the central hub that ensures that all events can be logged and managed, and notifications are sent when the right elements are needed in the iDaaS architecture.

Events often trigger items from iDaaS dream Collect to take action, through iDaaS Event Builder which captures business automation activities and iDaaS Smart Data Router. This data router is able to manage where specific data needs to be transmitted, whether incoming to sources or outgoing to application or service destinations. with help from iDaaS Data Distribution Link Component ensures integration with all types data sources Which may be in local or remote locations such as a public cloud. There are all kinds of possible and optional external services that a healthcare organization may incorporate from external or externally hosted services such as Reporting Services, Security, Analytics, Monitoring and Logging, External API Management, Big Data, and others Partner Data Services.

Finally, the iDaaS architecture provides both compliance and insights into the knowledge that is managed by the solutions provided. the iDaaS المعرفة Knowledge Insight The component manages analytics and insights about the data available via the live platform. This can be set up to provide near-real-time collection and reporting as required by the organizational need. An essential requirement of any healthcare organization is to maintain compliance with national laws, data privacy, and other transitional requirements. the iDaaS Knowledge Matching element is a suite of applications and tools that allow any organization to automate compliance and regulatory compliance with rule systems customized to their local needs. This is a highly flexible component that can be designed to ensure that compliance audit requirements are consistently met.

Next, take a look at the architectural solution with an emphasis on data presentation.

iDaaS (Data) integration

Data connectivity through an iDaaS architecture provides a different look at the architecture and gives us insights into how to address one of the healthcare organization’s most valuable assets.

It should be seen as what is meant by the architecture, as a guide rather than a definitive statement to be made in this way about how to route data as the actors interact with the systems, applications, and services in this architecture.

Note that a lot of data only flows in one direction while it’s quite obvious that it will flow in both directions. We have chosen to note that in streams that do not disrupt architecture outline clarity, we have chosen not to indicate where processing and flows are intended for clarity from actors to systems on the backend.

It is up to the reader to explore these datagrams and feel free to post comments our way.

What then

This was just a short overview of an example of data integration architecture for Smart data as a service architecture.

Overview of this series on Smart data as a service architecture:


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