A survey of the allocation of scarce resources in Türkiye during the COVID-19 pandemic: Which criteria did healthcare professionals prioritize?

COVID-19 caused an imbalance between medical resources and the number of patients in Türkiye like in many countries. There was not pandemic-triage system, and this situation led to decision making based on experience, intuition, and judgment of allocation of scarce resources. The research explains the guiding criteria that healthcare professionals used to prioritize the distribution of scarce medical resources during the COVID-19 pandemic. The criteria preferred by 928 healthcare professionals were evaluated when preventive measures for COVID-19 were reduced and so the number of cases increased rapidly. The results indicate that Turkish healthcare professionals largely support the utilitarian approach, which focuses on medical benefit in pandemic. The main problem was that some criteria not approved in COVID-19 triage guidelines were considered important by healthcare professionals. These criteria, which cause discrimination by preventing the provision of fair and equal medical care to patients, are a prominent issue in the study.

Anesthesiologists' Perspective on the Use of Artificial Intelligence in Ultrasound-Guided Regional Anaesthesia in Terms of Medical Ethics and Medical Education: A Survey Study.

OBJECTIVE: Controversy exists around the world as experts disagree on what artificial intelligence will imply for humanity in the future. Medical experts are starting to share perspectives on artificial intelligence with ethical and legal concerns appearing to prevail. The purpose of this study was to determine how anesthesiology and reanimation specialists in Turkey perceive the use of artificial intelligence in ultrasound-guided regional anesthetic applications in terms of medical ethics and education, as well as their perspectives on potential ethical issues. MATERIALS AND METHODS: This descriptive and cross-sectional survey was conducted across Turkey between July 1 and August 31. Data were collected through an online questionnaire distributed by national associations and social media platforms. The questionnaire included questions about the descriptive features of the participants and the possible ethical problems that may be encountered in the use of artificial intelligence in regional anesthesia and 20 statements that were requested to be evaluated. RESULTS: The average age of the 285 anesthesiologists who took part in the study was 42.00 ± 7.51, 144 of them were male, the average years spent in the field was 10.95 ± 7.15 years, 59.3% were involved in resident training, and 74.7% habitually used ultrasound guidance regional anesthetic applications. Of the participants, 80% thought artificial intelligence would benefit patients, 86.7% thought it would benefit resident training, 81.4% thought it would benefit post-graduate medical education, and 80.7% thought it would decrease complications in practice. There will be no ethical issues if sonographic data are captured anonymously, according to 78.25%, while 67% are concerned about who will be held accountable for inaccuracies. CONCLUSION: The majority of anesthetists believe that using artificial intelligence in regional anesthetic applications will decrease complications. Although ethical concerns about privacy and data governance are low, participants do have ethical worries about "accountability for errors."