ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients' management

J Biomed Inform. 2018 Jun:82:106-127. doi: 10.1016/j.jbi.2018.04.001. Epub 2018 Apr 5.

Abstract

New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the emergence of more advanced applications and support systems for chronic patients. This trend addresses the important problem of chronic illnesses, highlighted by multiple international organizations as a core issue in future healthcare. Despite the myriad of exciting new developments, each application and system is designed and implemented for specific purposes and lacks the flexibility to support different healthcare concerns. Some of the known problems of such developments are the integration issues between applications and existing healthcare systems, the reusability of technical knowledge in the creation of new and more sophisticated systems and the usage of data gathered from multiple sources in the generation of new knowledge. This paper proposes a framework for the development of chronic disease support systems and applications as an answer to these shortcomings. Through this framework our pursuit is to create a common ground methodology upon which new developments can be created and easily integrated to provide better support to chronic patients, medical staff and other relevant participants. General requirements are inferred for any support system from the primary attention process of chronic patients by the Business Process Management Notation. Numerous technical approaches are proposed to design a general architecture that considers the medical organizational requirements in the treatment of a patient. A framework is presented for any application in support of chronic patients and evaluated by a case study to test the applicability and pertinence of the solution.

Keywords: Chronic disease management; Clinical decision support systems (CDSS); Data architecture; Interoperability; Ubiquitous computing; Ubiquitous health (u-health) services.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artificial Intelligence*
  • Chronic Disease / therapy*
  • Computer Graphics
  • Decision Making
  • Decision Support Systems, Clinical*
  • Hospitalization
  • Humans
  • Information Storage and Retrieval
  • Medical Informatics / methods*
  • Models, Organizational
  • Semantics
  • Telemedicine / methods
  • Vital Signs