June 20, 2022

Intelligent Homecare | A case study of DIH4CPS

Advances in several subfields of information and communication technology (ICT), including social computing, sensor networks, the Internet of Things, and intelligent information processing, have given rise to “a world of data” with fast and pervasive analytics at scale. In recent years, there has been a growing interest in collecting and analysing data about several aspects of our life, especially for home care. This emerging context has implications for how home health care may need to change to meet future needs.

In the context of home care, the adaptation of medical treatment to the Activities of Daily Living (ADL) remains a huge challenge when the knowledge about user lifecycle covers several dimensions: past activities, behaviour, beliefs, values, occupation, experiences, attitudes, etc. many health care data exist but that almost no information on home health care is available.

In the context of the DIH4CPS project, the partners Linde and Lumière University Lyon 2 will conduct an application experiment, whose objective is to help homecare patients with sleeping apnea to better monitor the evolution of their treatments and maximise their acceptance.

The Problem

With the support of Lyon 2 research partner, the ongoing research activities target:

  • Data analytics of clinical data,
  • Patient profiling,
  • Services adaptation to optimise health treatment and patient treatment path.

The exploitation of collected data presents some limitations as the variability and the velocity of the patient data set is limited. Several patient parameters are missing and limit the relevance of data analytics efforts.

The Solution

To improve patient related dataset and consolidate a consistent profile, the solution will augment the set of clinical data provided by the manufacturer of the medical facility with new data collected from the patient environment. The project aims to propose new assistance services for the following stakeholders:

  • The patient: to be informed about the performance of his treatment regarding the other patients in the same cluster.
  • The prescriber: to be informed about the relevance of the PPC parameters.
  • Linde: to be informed about the evolution of the patient acceptance of the treatment


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