NCT07027618 · NOT YET RECRUITING

AI-Driven Personalization of End-of-Life Care for the Elderly

This trial tests whether AI-based software can improve end-of-life care for older adults. It uses wearable sensors, medication reminders, and alerts to the care team. Researchers will track quality of life, falls, emergency hospital visits, and caregiver burden over six months. Phase is not applicable, which is typical for software and care-delivery studies rather than drug trials.

Eligibility criteria

Inclusion Criteria:
Age ≥ 60 years
Clinical diagnosis of being in the end-of-life stage, based on criteria such as the Karnofsky Performance Scale or Palliative Performance Scale
Informed consent obtained from the participant or legal representative
Ability to use technology independently or with support provided by the research team
Access to necessary equipment for the intervention (e.g., wearable sensors, smartphone/tablet)
Exclusion Criteria:
Presence of severe cognitive impairment preventing software use
Voluntary withdrawal from the study at any stage
Critical medical deterioration or death during the study
Poor adherence or insufficient engagement with the intervention software in the intervention group

The sponsor's own eligibility wording, lightly reformatted. The study team makes the final eligibility decision — worth discussing with your doctor.

Eligibility criteria as of 2025-06-18

View full record on ClinicalTrials.gov

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