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KITE: An Analytics Platform for Multimorbidity Management.

Pierpaolo Tommasi¹, Alessandra Pascale¹, Stéphane Deparis¹

¹IBM Research - Ireland, Dublin, Ireland.

Studies in Health Technology and Informatics

|October 12, 2018

Summary

We developed KITE, a cloud infrastructure for managing complex health data to improve home-based integrated care. This system uses dynamic analytics and Bayesian networks for better patient representation.

Keywords:

Cloud aging analytics home care multimorbidity

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Area of Science:

Health Informatics
Data Science
Gerontology

Background:

Managing multimorbidity requires integrating diverse, dynamic health data.
Existing systems struggle with heterogeneous data and varied analytics tools.

Purpose of the Study:

To present KITE, a cloud-based infrastructure for health data aggregation and processing.
To demonstrate KITE's application in advancing home-based integrated care through the ProACT project.

Main Methods:

Developed a cloud-based infrastructure (KITE) for dynamic data aggregation.
Integrated Internet of Things (IoT), analytics, and behavior change frameworks.
Applied Bayesian networks for probabilistic patient representation.

Main Results:

Successfully aggregated and processed distributed, heterogeneous health data.
Demonstrated KITE's viability in a real-world integrated care context (ProACT).
Bayesian network application provided a probabilistic health overview of older individuals.

Conclusions:

KITE offers a flexible infrastructure for managing complex health data in multimorbidity.
The system supports advanced analytics for personalized, home-based integrated care.
Probabilistic modeling enhances understanding of older individuals' health status.