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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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A Connectivity Framework for Social Information Systems Design in Healthcare.

Craig E Kuziemsky1, Pavel Andreev1, Morad Benyoucef1

  • 1Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
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Summary
This summary is machine-generated.

Social information systems (SISs) are crucial for collaborative healthcare. This study introduces a framework to address the challenge of SIS connectivity, defining its structure, behavior, and complexity.

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Area of Science:

  • Health Informatics
  • Information Systems
  • Sociology

Background:

  • Social Information Systems (SISs) are vital for transforming healthcare into collaborative, patient-centered systems.
  • SISs facilitate integrated care delivery across the continuum of care by fostering networks and relationships.
  • A significant challenge in SIS design is 'connectivity,' concerning the scope and extent of system requirements.

Purpose of the Study:

  • To develop a framework for supporting the design of Social Information Systems (SISs) in healthcare.
  • To address the 'connectivity' challenge in SIS design.
  • To provide a structured approach for understanding and evaluating SIS complexity.

Main Methods:

  • The study defines the structure of a SIS using social triads.
  • Six dimensions representing SIS behavior are identified.
  • The Social Information System Connectivity Factor is proposed as a measure of connectivity and complexity.

Main Results:

  • A novel Social Information System Connectivity Framework is presented.
  • The framework offers a structured approach to defining SIS components and their interactions.
  • The Connectivity Factor provides a quantifiable measure for SIS design.

Conclusions:

  • The developed framework aids in designing effective SISs for healthcare.
  • Addressing connectivity is essential for successful SIS implementation in collaborative care.
  • The framework provides a valuable tool for assessing and managing the complexity of healthcare information systems.