Amrutha Jose | Biostatistics | Best Researcher Award

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Dr. Amrutha Jose | Biostatistics | Best Researcher Award

Dr. Amrutha Jose is a clinician-scientist at the Institute of Immunohaematology, Mumbai, specializing in clinical immunology and inherited immune disorders. With 20 publications, 92 citations, and an h-index of 6, her research centers on immune dysregulation in autoimmune and primary immunodeficiency conditions. She has led Indian cohort–based investigations in Systemic lupus erythematosus, highlighting regional variations in serum ficolin levels and their clinical relevance. Her work on Wiskott–Aldrich syndrome in Indian patients delineates mutation spectra and genotype–phenotype correlations, contributing to enhanced diagnostics and personalized therapeutic strategies for diverse populations.

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Niloofar Choobin | Health information technology | Best Researcher Award

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Dr. Niloofar Choobin | Health information technology | Best Researcher Award

Dr. Niloofar Choobin, Hormozgan university of medical science, Iran

Dr. Niloofar Choobin is an award-winning Iranian researcher specializing in Health Information Technology and AI in healthcare. 🎓 Holding a BSc and pursuing an MSc from Hormozgan University of Medical Sciences, she focuses on machine learning in cardiovascular and cancer diagnostics. 💻 Her work spans predictive modeling, digital health innovations, and NLP in medical texts. 📊 With experience in hospitals and academia, she has published systematic reviews and presented at national congresses. 🏅 Recognized with top innovation awards, she mentors students and leads workshops on research. 🌍 Fluent in English and Persian, she aspires to advance AI-driven healthcare globally.

Publication Profile

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🎓 Educational Background

Dr. Niloofar Choobin holds a strong academic foundation in Health Information Technology. 🎓 She earned her Bachelor’s degree (2011–2015) from Hormozgan University of Medical Sciences, Iran, where she developed her early interest in digital health and medical informatics. 🏥 Currently, she is pursuing her Master’s degree (2023–2025 expected) at the same institution. Her MSc thesis focuses on the development and validation of machine learning models for the early detection of coronary artery disease using population health data. 🧠💻 This research highlights her dedication to integrating AI into clinical decision-making for cardiovascular health improvement.

🔬 Research Interests

Dr. Niloofar Choobin’s research focuses on leveraging advanced technologies to transform healthcare delivery and diagnostics. 🤖 She is deeply interested in Artificial Intelligence in Clinical Decision Support systems to enhance diagnostic accuracy and treatment planning. 🧠 Her work includes machine learning applications for early detection of cardiovascular and cancer-related conditions. ❤️🎗 She also explores digital health, IoT, and smart monitoring systems for real-time patient care. 📱🌐 Additionally, Dr. Choobin investigates Natural Language Processing (NLP) in medical texts to automate data extraction and enhance clinical documentation efficiency. 📊📝 Her interdisciplinary approach advances intelligent healthcare solutions.

 Professional Experience

Dr. Niloofar Choobin brings a solid background in both clinical and academic healthcare settings. 🏥 Since 2022, she has served as Educational Affairs & Medical Student Coordinator at Children’s Hospital in Bandar Abbas, where she oversees academic programs and mentors students through research workshops. 🎓 Previously, she worked as a Medical Records Analyst at Chamran Trauma Hospital, Shiraz (2020–2021), focusing on patient data and documentation.  From 2015 to 2020, she held the role of Clinical Admissions Officer at Kosar Heart Hospital, ensuring efficient patient admissions and healthcare coordination. Her diverse roles enhance her informatics expertise.

Technical & Research Skills

Dr. Niloofar Choobin possesses a robust set of technical and research skills vital for modern healthcare innovation. 💻 She is proficient in Python programming, which she uses to develop and implement data-driven healthcare solutions. 🐍 Her expertise in machine learning frameworks such as Scikit-learn and TensorFlow empowers her to build predictive models for clinical diagnostics. 🤖 In the domain of health informatics, she has strong command over Electronic Health Records (EHR) systems and classification standards like ICD-10 and ICD-11, enabling accurate medical data analysis and interoperability. 📊📋 Her skill set supports advanced digital health research.

🏆 Grants & Awards

Dr. Niloofar Choobin has earned significant recognition for her innovative contributions to health informatics and AI in medicine. 🧠💡 She was honored as the Top Researcher by the Hormozgan Student Research Committee in 2014–2015. 🥇 In 2023, she became an Innovation Finalist at the National Olympiad in Entrepreneurship and AI, showcasing her forward-thinking approach. 🚀 She also secured 2nd Place at the National Health IT Innovation Festival in Mashhad (2022) and was the Winner of the Provincial Innovation Award in 2015. 🏅 These accolades highlight her creativity, research excellence, and impact in digital healthcare.

Academic & Professional Activities

Dr. Niloofar Choobin is actively involved in academic and professional development within the healthcare research community. 🧑‍🏫 From 2022 to 2024, she has served as a reviewer for several national medical student congresses, contributing to scholarly standards. 📝 She regularly organizes workshops on research methodology, proposal writing, and referencing to empower emerging researchers. 🧠📖 As a journal club leader, she facilitates discussions on topics like ML-based wearable systems for cardiac arrest. 💓🤖 Her teaching experience covers research methods, systematic reviews, and academic database searching, reflecting her dedication to advancing evidence-based medical education

🧪 Research Focus Area

Dr. Niloofar Choobin’s research lies at the intersection of Artificial Intelligence, Digital Health, and Clinical Informatics. 🤖📱 She focuses on using wearable technologies, IoT systems, and machine learning models for cancer care, cardiovascular diagnostics, and hypertension management, particularly during critical periods like COVID-19. ❤️ Her studies also explore telemedicine, VR-assisted surgery, and natural language processing tools like ChatGPT in clinical settings. 🩺🧠 Her expertise fits within the Medical AI and Health Informatics category, targeting intelligent systems for early disease detection, remote monitoring, and smart post-treatment care. 🧬📊 She contributes significantly to innovation in personalized healthcare.

Publication Top Notes

📘 “Tracking Health: Wearable Technology in Cancer Care” – Systematic Review, Published in 2022
📄 “Smart Post-Chemotherapy Care: IoT and AI-based Monitoring System for Breast Cancer Patients” – Submitted in 2024, 
📘 “Telemedicine in Hypertension Management During COVID-19” – Systematic Review, Published in 2021, Cited by: 12 
🎤 Congress Presentations – Years: 2021–2024, Presented in: Tehran, Shiraz, Hormozgan, Mashhad 🌍🎓
🧪 Topics – VR in surgery 🎮, OCT for CVD 🫀, ML in PCO 🧬, Hodgkin’s & Osteosarcoma 🧫,

Mahdie ShojaeiBaghini | Health Information Management | Best Researcher Award

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Dr. Mahdie ShojaeiBaghini | Health Information Management| Best Researcher Award

Dr. Mahdie ShojaeiBaghini , Kerman University of Medical Sciences , Iran

Dr. Mahdie ShojaeiBaghini is an Assistant Professor in Health Information Management with expertise in medical records and health data systems. She completed her PhD in Health Information Management from Shaheed Beheshti University of Medical Sciences, Tehran, Iran, with a thesis on a National Mental Health Information Network. Her academic career is marked by her dedication to improving healthcare management, including disaster management models and health information integration. Dr. ShojaeiBaghini has authored multiple research papers on diverse healthcare topics, including the use of artificial intelligence in medical education and telemedicine. She holds a strong track record in academia and research, contributing significantly to health informatics. Her work is highly respected in the field, and she has held several leadership roles in health information management committees. Dr. ShojaeiBaghini is committed to enhancing healthcare quality and ensuring effective use of health information systems globally.

Professional Profile

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🎓 Education

Dr. Mahdie ShojaeiiBaghini holds a PhD in Health Information Management from Shaheed Beheshti University of Medical Sciences in Tehran, Iran, where she developed an architectural model for a National Mental Health Information Network. She completed her MSc in Medical Records Education at Iran University of Medical Sciences, where her thesis focused on disaster management in medical record departments in hospitals. Dr. ShojaeiiBaghini also holds a BSc in Medical Records and an Associate degree in Medical Records from Kerman University of Medical Sciences, both in Iran. Her academic journey reflects a deep commitment to improving health information systems and management in medical settings, with a focus on enhancing the effectiveness of healthcare through technology and data. Her education has equipped her with robust research and academic skills, which she continues to apply in both her teaching and research endeavors.

💼 Experience

Dr. Mahdie ShojaeiiBaghini has extensive experience in Health Information Management and academia. She is currently an Assistant Professor in the field, where she applies her expertise to teach and guide students in the management of health data. Over the years, Dr. ShojaeiiBaghini has contributed to several health information projects, focusing on topics such as the integration of artificial intelligence in healthcare and disaster management in medical records. She has also worked on projects involving telemedicine feasibility, data sets for Alzheimer’s disease, and electronic personal health records. Additionally, Dr. ShojaeiiBaghini has served as a research advisor, guiding students and colleagues in publishing significant studies. Her academic experience is complemented by a wealth of experience in healthcare settings, where she has designed and implemented systems for improving healthcare delivery and patient data management. Her interdisciplinary approach makes her a prominent figure in health informatics.

Honors & Awards 🏆🎓

Dr. Mahdie ShojaeiiBaghini has received numerous academic honors throughout her career. She ranked first in her BSc program at Kerman University of Medical Sciences and again at Iran University of Medical Sciences in her MSc program in Medical Records Education. Her consistent academic excellence has earned her recognition as one of the top students in her field. In 2004, she ranked 4th among all participants in the MSc candidacy in Medical Record Education, and in 2011, she ranked 1st in the qualifying examination for PhD candidacy in Health Information Management. These accolades reflect her outstanding academic performance and leadership potential. Furthermore, Dr. ShojaeiiBaghini has been recognized for her significant contributions to research and education in health information management, earning awards for her innovative work in areas such as medical records education, disaster management, and health data systems. Her achievements reflect her commitment to advancing the field.

 

Research Focus 🔬⚡

Dr. Mahdie Shojaei’siBaghini research primarily focuses on health information management, with an emphasis on improving the quality and accessibility of health data. Her work includes designing models for national health information systems, particularly in the context of mental health, and exploring the use of artificial intelligence in healthcare. Dr. ShojaeiiBaghini has also researched disaster management in medical record departments, aiming to enhance the resilience of healthcare systems during crises. Other research areas of interest include the use of telemedicine in healthcare delivery, particularly in tourist cities, and the creation of minimum data sets for healthcare systems, including for diseases such as Alzheimer’s. Her research aims to bridge the gap between healthcare technology and its practical application in improving patient care and outcomes. Dr. Shojaei’siBaghini interdisciplinary approach allows her to address a wide range of issues within the health information management field.

Conclusion

Dr. Shojaei’siBaghini remarkable academic performance, innovative research contributions, and impact on healthcare systems make her a deserving nominee for the “Best Researcher Awards.” Her extensive publication record, her dedication to advancing health information management, and her leadership in integrating technology into healthcare demonstrate her exceptional capabilities as a researcher. Dr. Shojaei’siBaghini research is not only valuable within academic circles but also contributes significantly to practical applications that improve healthcare delivery. Therefore, she is highly suitable for this prestigious award.

Publication Top Notes 📚

Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis

Authors: Amiri, H., Peiravi, S., Rezazadeh Shojaee, S.S., Anvari, M.H., Asadi Anar, M.

Citations: 10

Year: 2024

Journal: BMC Medical Education, 24(1), 412

Usability Testing: A Bibliometric Analysis Based on WoS Data

Authors: Baghini, M.S., Mohammadi, M., Norouzkhani, N.

Citations: 1

Year: 2024

Journal: Journal of Scientometric Research, 13(1), pp. 9–24

The minimum data set of electronic personal health records for Alzheimer’s disease using design science methodology

Authors: Amiri, P., Niazkhani, Z., Pirnejad, H., Bahaadinbeigy, K., Baghini, M.S.

Citations: 0

Year: 2023

Journal: Health Policy and Technology, 12(3), 100785

A qualitative study of factors influencing ePHR adoption by caregivers and care providers of Alzheimer’s patients: An extension of the unified theory of acceptance and use of technology model

Authors: Amiri, P., Pirnejad, H., Bahaadinbeigy, K., Khazaee, P.R., Niazkhani, Z.

Citations: 1

Year: 2023

Journal: Health Science Reports, 6(7), e1394

Pharmacotherapeutic potential of walnut (Juglans spp.) in age-related neurological disorders

Authors: Hosseini Adarmanabadi, S.M.H., Karami Gilavand, H., Taherkhani, A., Koorangi, A., Deravi, N.

Citations: 19

Year: 2023

Journal: IBRO Neuroscience Reports, 14, pp. 1–20

Venous thromboembolism in viral diseases: A comprehensive literature review

Authors: Zerangian, N., Erabi, G., Poudineh, M., ShojaeiBaghini, M., Deravi, N.

Citations: 6

Year: 2023

Journal: Health Science Reports, 6(2), e1085

Minimum data set of mucormycosis

Authors: Baghoveh, M., Arian, M., Kimiafar, K., Shojaeibaghini, M.

Citations: 1

Year: 2023

Journal: Frontiers in Health Informatics, 12, 160

The Impact of Internet Health Information on Patient Compliance: A Systematic Review and Meta-analysis

Authors: Shojaeibaghini, M., Shojaeibaghini, S.

Citations: 1

Year: 2023

Journal: Journal of Health Literacy, 8(3), pp. 79–89

The role of health literacy in multiple sclerosis: A systematic review

Authors: Baghini, M.S., Bahaadinbeigy, K.

Citations: 0

Year: 2023

Journal: Frontiers in Health Informatics, 12, 130

Identification of the informational and supportive needs of patients diagnosed with inflammatory bowel disease: a scoping review

Authors: Norouzkhani, N., Faramarzi, M., Ghodousi Moghadam, S., Eslami, S., Tabesh, H.

Citations: 7

Year: 2023

Journal: Frontiers in Psychology, 14, 1055449