Mircea Stoian | Health Professions | Excellence in Research

Assist. Prof. Dr. Mircea Stoian | Health Professions | Excellence in Research

University of Medicin, Pharmacy | Intensive Care Department | Romania

Dr. Mircea Stoian is a prominent Romanian specialist in anesthesiology and intensive care, with an extensive career in both clinical practice and academia. Born on October 29, 1971, he has dedicated his professional life to the improvement of patient care, particularly in critical care and anesthesia. As the head of the Anesthesia and Intensive Care Department at the Mureș County Clinical Hospital, he has been instrumental in advancing treatment protocols for patients with complex medical conditions. His expertise is backed by his experience as a lecturer at the University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, where he imparts critical care knowledge to the next generation of medical professionals.

Profile

Scopus

Education:

Dr. Stoian’s academic journey began at the University of Medicine and Pharmacy in Târgu Mureș, where he graduated with a degree in General Medicine in 1999. He then went on to specialize in Anesthesiology and Intensive Care, completing his residency at the Mureș County Emergency Clinical Hospital. He earned his medical doctorate in 2013, with a thesis on the study of renal permeability modification through electrofocusing post-anesthesia, under the supervision of Prof. Dr. Leonard Azamfirei. His pursuit of continuous professional development includes numerous certifications in ultrasound, healthcare management, and primary care.

Experience:

Dr. Stoian’s career spans both military and civilian healthcare sectors. Starting as a military physician in 2001, he later transitioned to clinical and academic roles. His clinical experience began at the Mureș County Clinical Hospital, where he rose through the ranks from specialist to senior physician. Over the years, he has gained expertise in complex anesthesia techniques, particularly in critical care settings. His leadership skills were further honed when he became the coordinator for the “Cyber-Physical Intensive Care Medical System for Covid-19” (ICU4COVID) study. He has also held key academic positions, including lecturer and senior physician at the University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, where he contributes to both teaching and research.

Research Interests:

Dr. Stoian’s primary research interests lie in anesthesiology, intensive care medicine, and the physiological mechanisms involved in critical illness. His doctoral thesis on renal permeability and protein electrofocusing after general anesthesia is a testament to his focus on the physiological aspects of anesthesia. He has also investigated the implications of gene polymorphisms in diabetes and neuropathies, as well as the clinical applications of ultrasound in anesthesiology. His research is particularly concerned with improving patient outcomes in intensive care units, focusing on critical care technology and its impact on patient survival and recovery.

Awards:

Dr. Stoian has been recognized for his contributions to the field of anesthesiology and intensive care. His work has earned him several academic distinctions and research grants. Notably, he was awarded the prestigious Postdoctoral Fellowship at the University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș in 2014. His innovative research in the development of cyber-physical systems for intensive care during the COVID-19 pandemic was widely acknowledged. He continues to be a leading figure in advancing medical technology and patient care standards within his field.

Publications:

Dr. Stoian has authored and co-authored numerous articles and books in the fields of anesthesiology, intensive care, and medical research. His contributions are primarily focused on the physiological effects of anesthesia, critical care methodologies, and neuropathic conditions in diabetic patients. Some of his notable publications include:

  1. “Vascular Endothelial Growth Factor Insertion/Deletion Gene Polymorphism in Patients with Type 2 Diabetes Mellitus and Diabetic Peripheral Polyneuropathy,” Revista Română de Medicină de Laborator, 2014, DOI: 10.2478/rrlm-2014-0023.
  2. “Influence of GSTM1, GSTT1, and GSTP1 Polymorphisms on Type 2 Diabetes Mellitus and Diabetic Sensorimotor Peripheral Neuropathy Risk,” Disease Markers, 2015, DOI: 10.1155/2015/638693.
  3. “Narrow-band imaging with magnifying endoscopy for the evaluation of gastrointestinal lesions,” World J Gastrointest Endosc, 2015, DOI: 10.4253/wjge.v7.i2.110.
  4. “No Association Between Antioxidant Enzyme Gene Polymorphism and Albuminuria in Type 2 Diabetes Mellitus Cases,” Revista de Chimie, 2016, DOI: 10.3390/diagnostics12123196.
  5. “Guillain-Barré Syndrome Associated with COVID-19: A Close Relationship or Just a Coincidence?” Experimental and Therapeutic Medicine, 2021, DOI: 10.3892/etm.2021.10616.

These publications have been cited in numerous studies, reflecting their impact on the scientific community.

Conclusion:

Dr. Mircea Stoian’s distinguished career in both clinical and academic medicine highlights his commitment to advancing medical knowledge and improving patient care. His extensive expertise in anesthesiology, intensive care, and medical research, coupled with his leadership in critical care systems, makes him a pivotal figure in his field. His ongoing research and publications continue to shape the future of intensive care medicine, and his contributions remain vital to the medical community’s response to complex health challenges.

Hadi Shabanpour | Health Professions | Best Researcher Award

Mr . Hadi Shabanpour | Health Professions | Best Researcher Award 

PhD Student and Lecturer – The University of Queensland , SENV , Australia

Saeed Yousefi is a distinguished researcher from Tadbir Industry and Mining Development Group, Tehran, Iran. He specializes in innovative methods for healthcare systems, focusing on patient clustering and resource allocation using advanced data analysis techniques.

Profile

Scopus

Education

Saeed Yousefi holds extensive academic qualifications in the field of operations research and data analysis. His educational background underpins his expertise in applying sophisticated analytical methods to real-world problems in healthcare systems.

Experience

Saeed Yousefi has a significant track record in the industry, particularly in developing and implementing innovative patient clustering methods. His work aims to enhance the efficiency of healthcare systems by improving patient classification and resource allocation.

Research Interests

Saeed’s research interests revolve around healthcare analytics, specifically focusing on patient clustering methods and data-driven decision-making processes. His work often integrates advanced techniques such as Data Envelopment Analysis and Artificial Neural Networks to optimize healthcare delivery.

Award

Saeed Yousefi has been recognized for his innovative research with notable awards, reflecting his contributions to advancing healthcare analytics and improving patient care systems.

Publication

One of Saeed Yousefi’s significant publications is titled “An Innovative Patient Clustering Method Using Data Envelopment Analysis–Discriminant Analysis and Artificial Neural Networks: A Case Study in Healthcare Systems”. This article, co-authored with Reza Farzipoor Saen, Hadi Shabanpour, and Kian Ghods, was published in Socio-Economic Planning Sciences in 2024. It discusses a novel patient clustering approach using advanced data analysis techniques to enhance healthcare system efficiency. You can access the article here.

Conclusion

The research conducted by Saeed Yousefi, Reza Farzipoor Saen, Hadi Shabanpour, and Kian Ghods presents a pioneering and impactful approach to patient clustering and resource allocation in healthcare. The integration of DEA-DA with ANN models, particularly SOM, addresses a critical need for effective pandemic management and resource utilization. The practical implications and innovative nature of the research make it a strong candidate for the Best Researcher Award. However, further exploration into scalability, integration, long-term outcomes, and comparative analysis could enhance the robustness and applicability of the proposed method.