RAAK Publiek Telemap
The project 'Technology marks the palliative phase' (Telemap) investigates how machine learning technology can support healthcare providers in marking the (start of the) palliative phase. The project focuses on care recipients with COPD and heart failure and uses data (signals) from the electronic care file of ZorgAccent and ZZG care group. In this way, the project contributes to improving the quality of palliative care.
In the palliative phase, care providers provide interdisciplinary care to patients and their relatives aimed at combating symptoms and maintaining or increasing quality of life (and of the process of dying). Failing to recognize and mark the palliative phase in time, often leads to undesirable situations. For example, patients do not receive the most appropriate care tailored to their wishes and needs, which can lead to over-/undertreatment or death in a location or timeframe that is not in line with the patient's preference. Care providers in primary care consider it important to mark the palliative phase in time, but experience difficulties doing so for patients with a chronic condition such as COPD or heart failure. Existing instruments that mark the palliative phase do not make it into practice because they do not fit in with the existing working method of the primary process.
The Ambient Intelligence lectorate contributes in the field of machine learning. Machine learning based on existing data and integrated into the individual electronic health record appears to be a promising technological application with positive experience, but which has yet to be used for the timely marking of the palliative phase by nurses and carers.
Partners
Saxion Research groups Smart Health (coordinator), Technology, Health & Care en Ambient Intelligence, University of Applied sciences Arnhem Nijmegen, Zorgaccent, ZZG zorggroep, Ecare.
Duration
November 2022 – November 2024
Financing
The project is made possible by a RAAK Public subsidy.
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