PubMed · 11637092
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J de Smet. 1966. [Not Available].. https://pubmed.ncbi.nlm.nih.gov/11637092/
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PURPOSE: Precision medicine, also known as personalized medicine, enables the provision of tailored health services to patients. In the prevention, early detection, and treatment of cancers, precision medicine is highly promising, given the increasing use of genomic profiling for diagnosis and adapting therapies in several tumor types. Artificial Intelligence (AI) can support this process by analyzing vast amounts of relevant data. However, high-quality data and financial investments in the health system are essential for the implementation of precision medicine and AI solutions in routine cancer care. DESIGN/METHODOLOGY/APPROACH: Building on the quantitative outcomes of a foresight exercise published in another study, this article collects qualitative data to gain more detailed insights into the future of precision oncology in Belgium and discusses the role of AI in this field. It reports the results of a series of expert workshops, focusing on four hypothetical future scenarios that are centered around technological and economic issues that must be overcome for the widespread use of precision oncology in Belgium. FINDINGS: The study concludes that all four scenarios discussed in the workshops would require supportive policy measures in Belgium, which should go beyond mere technological and economic considerations, such as involving patient associations and the public in policy design or creating multi-disciplinary expert groups for precision medicine. ORIGINALITY/VALUE: To the best of our knowledge, this is the first study to employ foresight methodology to illustrate possible future scenarios, scrutinize feasible approaches for implementing precision oncology in Belgium, and discuss the use of AI in this context.
The traditional goal of intensive care has been to decrease short-term mortality. While worthy, this goal fails to address the issue of what it means to survive intensive care. Key questions include whether intensive care survivors have optimal long-term outcomes and whether ICU care decisions would change if we knew more about these outcomes. The 2002 Brussels Roundtable, "Surviving Intensive care", highlighted these issues, summarizing the available evidence on natural history and risk factors for critical illness and outlining future directions for care and research. Critical illness is associated with a wide array of serious and concerning long-term sequelae that interfere with optimal patient-centered outcomes. Although traditional short-term outcomes, such as hospital mortality, remain extremely important, they are not likely to be adequate surrogates for subsequent patient-centered outcomes. As such, it is important to focus specifically on how critical illness and intensive care affects a patient's and relatives' long-term health and well-being. There are a large number of potential pre-, intra-, and post-ICU factors that may improve or worsen these outcomes, and these factors are subjects for future research. In addition, future clinical trials of ICU therapies should include long-term follow-up of survival, quality of life, morbidity, functional status, and costs of care. Follow-up ought to be for at least six months. The SF-36 and EuroQOL EQ-5D are the best-suited instruments for measuring quality of life in multicenter critical care trials though further methodologic research and instrument design is encouraged. There are also opportunities today to improve care. Key to taking advantage of such opportunities is the need for a global awareness of critical illness as an entity that begins and ends outside the ICU 'box'. Specific interventions that show promise for improving care include ICU discharge screening tools and ICU follow-up clinics.
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