Israel Medical Association Journal

In recent years, we have been experiencing a technological revolution, which signifies an ethical and societal transformation. Artificial intelligence (AI) based technologies have gradually permeated all aspects of life and solidified their position. Within this context, the emergence of these technologies offers new opportunities in the medical field, including palliative care, which is aimed at alleviating suffering and improving the quality of life for terminally ill patients and their families. In Israel, the Dying Patient Act of 2005 (the law), which promotes values such as the sanctity of life and individual autonomy, allows terminally ill patients to determine their preferred treatment, and withhold life-saving treatment under certain circumstances. The law represents a significant step toward improving care for terminally ill patients, reducing pain and suffering, and respecting the patient's wishes and worldviews in their final days. However, the practical implementation of the law has encountered numerous challenges, ranging from lack of familiarity among doctors and healthcare professionals and the requirement to determining life expectancy to fulfilling the law's purpose. These challenges are associated with ethical, cultural, and religious perspectives. In this article, we describe how AI-based technologies hold immense potential in applying the law and providing palliative care based on their predictive capabilities, prognostic accuracy, and optimization of treatment as well as communication between patients and healthcare providers. However, as an innovative, developing, and complex technology, it is crucial not to overlook the ethical, societal, and legal challenges inherent in implementing and using AI-based technologies in the context of palliative care.

Background: Decisions on medication treatment in children dying from cancer are often complex and may result in polypharmacy and increased medication burden. There is no information on medication burden in pediatric cancer patients at the end of life (EOL).

Objectives: To characterize medication burden during the last hospitalization in children dying from cancer

Methods: We performed a retrospective cohort study based on medical records of 90 children who died from cancer in hospital between 01 January 2010 and 30 December 2018. Demographic and clinical information were collected for the last hospitalization. We compared medication burden (number of medication orders) at hospitalization and at time of death and examined whether changes in medication burden were associated with clinical and demographic parameters.

Results: Median medication burden was higher in leukemia/lymphoma patients (6 orders) compared to solid (4 orders) or CNS tumor patients (4 orders, P = 0.006). Overall, the median number of prescriptions per patient did not change until death (P = 0.42), while there was a significant reduction for some medication subgroups (chemotherapy [P = 0.035], steroids [P = 0.010]).Patients dying in the ICU (n=15) had a higher medication burden at death (6 orders) than patients dying on wards (3 orders, P = 0.001). There was a trend for a reduction in medication burden in patients with “Do not resuscitate” (DNR) orders (P = 0.055).

Conclusions: Polypharmacy is ubiquitous among pediatric oncology patients at EOL. Disease type and DNR status may affect medication burden and deprescribing during the last hospitalization.