Abstract

The authors present a proposal to develop intelligent assisted living environments for home based healthcare in the presence of multimorbidity chronic patients. These environments unite the chronicle patient clinical history sematic representation ICP (Individual Care Process) with the ability of monitoring the living conditions using IoT technologies and events recurring to a fully managed Semantic Web of Things (SWoT) and Machine Learning Algorithms in order to activate the LDC (Less Differentiated Caregiver) for a specific care need. With these capabilities at hand, home based healthcare providing becomes a viable possibility reducing the institutionalization needs. The resulting integrated healthcare framework will provide significant savings while improving the generality of health and satisfaction indicators.

Highlights

  • There is a major need for ICT systems to assist the caregivers who are attending patients suffering from chronic conditions

  • We look at the several questions that need we need to address when applying the Internet of Things (IoT) and SWoT (Semantic Web of Things) in the healthcare process and the public system

  • Use this framework as support for deep learning based in IoT events and natural language CQA to use as an AI professional aid

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Summary

Introduction

There is a major need for ICT systems to assist the caregivers who are attending patients suffering from chronic conditions. Regarding the Clinical KR, we found that the problem known as “Knowledge Acquisition Bottleneck” [1] is currently the major obstacle for the development of adequate representations of medical knowledge computable representations, namely ontologies in the specific domain and in particular in the healthcare sub domain. We extend the usual DRS (Discourse Representation Structure) that usually handles single texts to our proposal based in a framework of ontologies ranging from the multimorbidity clinical facets to the nursing care process, which has the expanded capability of representing the whole discourse of a patient’s healthcare history. We develop the issue addressed in this paper that is the utilization of the IoT related technologies in Ambient Assisted Living, with all the underlying questions and possible problems that have to be circumvented when multimorbidity is present and propose ways of pragmatically handle them when needed and possible. Shifting to the healthcare process KR (Knowledge Representation) [1], based in developments made under the auspices of 4IE (Instituto Internacional de Investigação e Inovação do Envelhecimento) a project that involves several academic and healthcare institutions from Portugal and Spain, we implemented the model called IPC

The ontological framework for the nursing process
Tutoring Process
Machine learning processes supporting the caregiver
IoT to the rescue for intelligent life event acquisition
Event acquisition in multimorbidity assisted living environments
Sensor enabling the person and the environment
Healthcare process activation ruling
From Smart Homes to Intelligent Homes
Conclusion
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