Data and information models are components of data architecture and are data architecture artifacts. Clinical data is highly complex, ever changing, and always flows from the mission of the organization. A neonatal facility collects different data about patients than an Allergist or an ER. J P Systems has many decades of experience modeling clinical data and processes.
Domain specific knowledge is as important as the technical knowledge to the proper construction of model designs. Data modeling is a critical step when embarking on a new domain design. We optimize and standardize the reference data to facilitate its exchange with other healthcare providers. The development of the HL7's US FHIR Core is a critical step in the nation's data architecture: US FHIR Core Data Elements.
Information Architecture (IA) achieves data consistency by:
Our design methodologies are finely tuned to increase interoperability within an enterprise, and between an enterprise and its data exchange partners. Standardized data elements are used to create a core of data used in in the United States.
Data models help relate the Business Architecture (what you do as an organization) to the Information Technology (what you capture, store and process). IA is the high-level description of business information and communications which enables the translation of business perspectives to and from your IT systems. Data Architecture occurs on a lower level, closer to that of your data files and their actual contents. Business Strategy and IA are closely related in that IA enables the existing Business Strategy and fosters new Business Strategies.
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