Knowledge, attitudes and practices of resident doctors and interns on safe blood transfusion practices: a survey-based study

Prakash, Satya; Mukherjee, Somnath; Routray, Suman Sudha; Sahu, Ansuman; Mishra, Debasish; Naik, Archna

doi:10.1016/j.htct.2022.06.004

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…In a study conducted in India in 2018, 85% of the staff knew that the crossmatch must be carried out systematically before transfusion [41]. In the Turkish study conducted in 2017, 78% of participants described the cross-match test as an important step in guaranteeing ABO compatibility [42].…”

Section: Discussionmentioning

confidence: 99%

Survey on Blood Transfusion Practices among Medical and Paramedical Staff in the Pediatric Unit of the Mohammed VI University Hospital in Marrakesh, Morocco

Danaoui,

Lahmini,

Bourrous

2024

OJPed

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Blood transfusion is a complex activity, involving many actors. As a high-risk activity, it necessitates the implementation of specific methods for effective control. The safety of blood transfusion is significantly influenced by the beliefs of healthcare workers and organizational factors, constituting two major considerations. We conducted a cross-sectional, descriptive, and analytical survey to examine the knowledge and practices related to transfusion among the medical and paramedical staff at the Pediatric Department (Mother-Child) of CHU Mohammed VI from September 1, 2022, to December 31, 2022. Among the 135 staff members interviewed, only 41% had received training in blood transfusion. A majority (65.2%) of the staff noted that a mismatch in cross-matching led to transfusion complications. Two-thirds (66.7%) identified chills as the primary clinical sign of potential accidents. Regarding elements to monitor during a reaction, hemolysis (78.5%) and temperature (76.3%) were most commonly mentioned. Surprisingly, more than half (53.3%) of the personnel interviewed did not conduct post-transfusion monitoring. This survey highlighted significant deficiencies in knowledge and practices related to transfusion. To address these issues, we recommend implementing guidelines and providing tailored training for the staff, aiming to rectify these deficiencies and enhance overall practices.

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Section: Discussionmentioning

confidence: 99%

Survey on Blood Transfusion Practices among Medical and Paramedical Staff in the Pediatric Unit of the Mohammed VI University Hospital in Marrakesh, Morocco

Danaoui,

Lahmini,

Bourrous

2024

OJPed

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“…Response to an emergency is critical for a medical professional. Some studies show a lack of knowledge on managing anaphylaxis and safe blood transfusion skills [30,31]. This skill can be best acquired during an internship.…”

Section: Emergency Response Skills Assessmentmentioning

confidence: 99%

Artificial Intelligence Revolutionizing the Field of Medical Education

Narayanan,

Ramakrishnan,

Durairaj

et al. 2023

Cureus

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Medical education has ventured into a new arena of computer-assisted teaching powered by artificial intelligence (AI). In medical institutions, AI can serve as an intelligent tool facilitating the decision-making process effectively. AI can enhance teaching by assisting in developing new strategies for educators. Similarly, students also benefit from intelligent systems playing the role of competent teachers. Thus, AIintegrated medical education paves new opportunities for advanced teaching and learning experiences and improved outcomes. On the other hand, optical mark recognition and automated scoring are ways AI can also transform into a real-time assessor and evaluator in medical education. This review summarizes the AI tools and their application in medical teaching or learning, assessment, and administrative support. This article can aid medical institutes in planning and implementing AI according to the needs of the educators.

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Application of Artificial Intelligence in Advanced Training and Education of Emergency Medicine Doctors: A Narrative Review

Basnawi,

Koshak

2024

Emergency Care and Medicine

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Emergency medicine (EM) demands continuous adaptation and refinement of training methodologies to equip healthcare professionals with the expertise to effectively manage complex and time-sensitive patient presentations. Artificial intelligence (AI), with its remarkable ability to process vast amounts of data, identify patterns, and make predictions, holds immense promise for enhancing the advanced training and education of EM physicians. This narrative review aims to discuss the potential of AI in transforming EM training and highlight the specific applications of AI in personalized learning, realistic simulations, data-driven decision support, and adaptive assessment, along with further exploring the benefits and challenges of AI-powered EM training. A comprehensive literature search was conducted using PubMed, MEDLINE, and Google Scholar to identify relevant studies focusing on AI applications in EM and EM training. The search terms included “artificial intelligence”, “emergency medicine”, “training”, “education”, “personalized learning”, “simulations”, “decision support”, and “assessment. Articles published in the past ten years were prioritized to ensure the inclusion of current advancements in the field. AI offers a plethora of opportunities to revolutionize EM training, including the following: Personalized learning: AI-powered systems can tailor educational content and pace to individual trainees’ needs, ensuring optimal instruction and knowledge acquisition. Realistic simulations: AI-powered simulations provide immersive experiences for trainees to practice clinical decision making under simulated pressure. Data-driven decision support: AI-powered systems analyze vast amounts of data to provide trainees with real-time recommendations and insights for informed clinical decisions. Adaptive assessment: AI-powered tools assess trainee progress dynamically, providing personalized feedback and identifying areas for improvement. Conclusions: AI integration into EM training holds immense promise for enhancing trainee learning and improving patient outcomes. By embracing AI, we can cultivate a new generation of EM physicians equipped to meet the ever-changing demands of this critical medical specialty.

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Knowledge, attitudes and practices of resident doctors and interns on safe blood transfusion practices: a survey-based study

Cited by 3 publications

References 21 publications

Survey on Blood Transfusion Practices among Medical and Paramedical Staff in the Pediatric Unit of the Mohammed VI University Hospital in Marrakesh, Morocco

Survey on Blood Transfusion Practices among Medical and Paramedical Staff in the Pediatric Unit of the Mohammed VI University Hospital in Marrakesh, Morocco

Artificial Intelligence Revolutionizing the Field of Medical Education

Application of Artificial Intelligence in Advanced Training and Education of Emergency Medicine Doctors: A Narrative Review

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