Manual Data Entry is for Dummies...
One of the best ways to improve workflow is to eliminate manual data entry and lookup through integration and interfacing, but you can't auto-populate what you don't know. Decisions is being used in a wide range of industries to access, aggregate, manipulate, transform, validate, and eventually auto-populate data in a variety of user experiences. Decisions can connect apps, databases, web services, devices and other data sources to create an enterprise-ready logic layer that adds intelligence to your data workflow.
(Quick Aside: Decisions versus ESB's)
While there are other categories of tools that touch this idea - ESB's (Enterprise Service Bus) in particular - looking at data communication in your system with a workflow and business rule lens can add more value. In some cases Decisions is used with ESBs to add intelligence to the routing and transforming of the data. In other cases Decisions has replaced ESBs completely. At the end of the day workflow moves and manipulates data while business rules evaluate data. Put those two fundamentals in a series combined with Decisions integration wizards and other supporting features and you can get data from any one place, do whatever you need to do with it for it to be "ready", and then you can send it to its final destination - complete with exception or error handling and manual tasking if absolutely necessary.
Back to the Future of Your Data Workflow
Healthcare is an area completely buried in what they call "interoperability" problems. Systems that all need to work together to get a job done are simply not able to communicate because they are speaking different languages. Even efforts to standardize data in healthcare are suffering from this translation problem.The time and effort required to stay current with these standards works against organizations who adopt the standards at different points in time and who need to maintain their own unique quirks.
In some cases, the interfacing problem has a one-to-many relationship. Meaning there may be many sources of data that all need to be aggregated in one system of truth. In other cases this problem may manifest itself with a many-to-many scenario complete with requirements for bi-directional communication among all systems involved. We've dealt with both () - some easier than others - both built upon the same basic principles.
