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Intelligent Risk Detection in Health Care: Integrating Social and Technical Factors to Manage Health Outcomes

  • Hoda Moghimi
  • Nilmini Wickramasinghe
  • Monica Adya
Chapter
Part of the Healthcare Delivery in the Information Age book series (Healthcare Delivery Inform. Age)

Abstract

The rapid increase of service demands in healthcare contexts today has reignited the importance of a robust risk assessment framework supported by real-time service handling in order to ensure superior decision-making and successful healthcare outcomes. Big data and analytics have the potential to provide numerous opportunities in healthcare for the application of information technology (IT) and decision sciences to real-time intelligent risk detection and management. In this article, we suggest that this intersection of decision sciences and IT should be the focus when looking to the future of health risk management. To demonstrate the power and benefits of integrating these domains, this exploratory study develops a solution framework that combines a real-time intelligent risk detection solution with decision support for a specific healthcare context. An intelligent risk detection model called HOUSE (Health Outcomes around Uncertainty, Stakeholders, and Efficacy) is proffered for risk detection and management in the context of congenital heart disease (CHD) surgeries in children. The model builds on the principles of user-centered design, network-centric healthcare operations, and intelligence continuum. The article elaborates on elements of this model, describes the fundamental research that supports its design, and concludes with a research agenda and design recommendations for extension into other healthcare domains.

Keywords

Risk management Intelligence continuum Intelligent risk detection Clinical decision support Value-based healthcare 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hoda Moghimi
    • 1
  • Nilmini Wickramasinghe
    • 2
    • 3
  • Monica Adya
    • 4
  1. 1.Health Informatics Management, Epworth HealthCareRichmondAustralia
  2. 2.Epworth HealthCareRichmondAustralia
  3. 3.Swinburne University of TechnologyHawthornAustralia
  4. 4.Management, Marquette UniversityMilwaukeeUSA

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