Healthcare IT Data Architecture
J P Systems, Inc. specializes in the design of clinical information. According to the DAMA International Data Management Book of Knowledge: "Data Architecture can be synthesized into several components:
Models, definitions and data flows (data architecture artifacts), Data Architecture Activities: (Forms), and Data Architecture Behaviors (Collaborations).
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. Domain specific knowledge is as important as the technical knowledge to the proper construction of file designs (known as schemas). Data modeling is a critical step when embarking on a new domain design. We optimize 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:
- Modeling semantics and reference knowledge common to a wide range of artifacts.
- Leveraging the semantics to ensure consistency across models and model artifacts.
- Using the same semantics as a basis for logical and physical database model generation, software component and service generation, rule development (e.g., in production rule-based systems), etc.
- Logical consistency, validation, and reuse
Design methodologies are finely tuned to increase interoperability within an enterprise, and between an enterprise and its data exchange partners. Standard data elements are defined to create a core of data used in in the United States.
IA is the art and science of understanding the objectives of information in the context of the intended audience. IA relates the Business Architecture (what you do as an organization) to the Information Technology (what you capture, store and process). Information Architecture is the high-level description of business information and communications which enables the translation of business perspectives to and from IT. Business Strategy and IA are closely related in that IA enables the existing Business Strategy and fosters new Business Strategies.