J P Systems, Inc.

Data Architecture

J P Systems, Inc.

J P Systems, Inc. specializes in the design of data architecture for clinical data. According to the DAMA International Data Management Book of Knowledge: "Data Architecture can be synthesized into the following components:


Data Architecture Outcomes: Models, definitions and data flows on various levels, usually referred as data Architecture artifacts.


Data Architecture Activities: Forms, deploys and fulfills Data Architecture intentions.


Data Architecture Behaviors: Collaborations, mindsets and skills among the various roles that affect the enterprise’s Data Architecture".


Clinical data is complex and is always related to the mission of the organization. A neonatal facility collects different data about patients than an Allergist or an ER. Thus, healthcare domain specific knowledge is as important as the technical knowledge of data architecture to the proper construction of file designs known as Schemas. We optimize the data to facilitate its exchange with other healthcare providers. Data modeling is a critical step when embarking on a new domain design. The US FHIR Core is a critical step in the nation's data archite?cture and is described here: US FHIR Core Data Elements and terminologies are required data fields.

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.