Dr. Anju is a dedicated medical doctor, researcher, and health tech enthusiast with a passion for improving healthcare through clinical excellence and innovation. With nearly 10 years of diverse experience, she brings a unique perspective shaped by her time as a medical practitioner, educator, and leader in the clinical and diagnostic space.
MBBS (Bachelor of Medicine & Bachelor of Surgery) from Jiamusi School of Medicine, China
PGDCR (Post Graduation Diploma in Clinical Research) from Avigna Clinical Research Institute, Bangalore, India
Professional Highlights
Leading Clinical Excellence & Operations in the diagnostic health tech sector, focusing on knowledge transfer, training, and clinical audits.
Developed comprehensive scientific protocols and programs for chronic disease management across multiple conditions.
Defined and implemented clinical strategies and SOPs for chronic care.
Conducted data analytics on clinical outcomes for scientific publications.
Designed and introduced leadership development and team management models.
Successfully trained and onboarded numerous new resources in previous roles.
Developed clinical research protocols and performed data analysis in specialized medical domains.
Presented scientific findings at CMEs and medical conferences.
Publications
Improved glycemic and cardiometabolic parameters in type 2 diabetes using AI enabled digital precision care with remote monitoring. American Diabetes Association, 2023.https://search.app/aHK76EmjGPcMU68W7
Effectiveness of AI enabled digital precision care and remote monitoring in improving cardiometabolic parameters in type 2 diabetes. KRSSDI 19th Annual Conference, 2024.
Conferences & Presentations History
Master Class in Liver Diseases (May 2014, February 2015)
GAMET – (Global Annual Medical Emergency and Trauma Meet) (August 2014)
National Conference of Neuro-Otological & Equilibriometric Society of India (August 2024)
Delivered scientific presentations in CMEs and medical conferences.
Conducted speaking sessions and presentations in-house CMEs.