A Multilevel-Model Driven Social Network for Healthcare Information Exchange

The management of Big Data in healthcare is challenging due to of the evolutionary nature of healthcare information systems. Information quality issues are caused by top-down enforced data models not fitted to each point-of-care clinical requirements as well as an overall focus on reimbursement. Therefore, healthcare Big Data is a disjointed collection of semantically confused and incomplete data. This paper presents MedWeb, a multilevel model-driven, social network architecture implementation of the Multilevel Healthcare Information Modeling (MLHIM) specifications. MedWeb profiles are patient and provider-specific, semantically rich computational artifacts called Concept Constraint Definitions (CCDs). The set of XML instances produced and validated according to the MedWeb profiles produce Hyperdata, overcoming of the concept of Big Data. Hyperdata is defined as syntactically coherent and semantically interoperable data that can be exchanged between MedWeb applications and legacy systems without ambiguity. The process of creating, validating and querying MedWeb Hyperdata is presented.

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