Dr. Anindita Santosa received her MBBS from the esteemed Yong Loo Lin School of Medicine at
the National University of Singapore in 2008. She advanced her career by completing her Basic
Speciality Training in Internal Medicine and earning prestigious membership to the Royal College
of Physicians (UK, London) in 2013. Subsequently, Dr Santosa honed her expertise in
Rheumatology at the Department of Rheumatology, Allergy, and Immunology at Tan Tock Seng
Hospital, where she completed her Senior Residency in Rheumatology in an ACGME-I
(Accreditation Council for Graduate Medical Education – International) accredited training program
and subsequently attained her specialist accreditation in Rheumatology in 2017. Currently, she is
augmenting her expertise in Clinical Allergy and Immunology, pursuing a Master’s degree in Allergy
at the esteemed Imperial College (UK, London).
Dr. Santosa is proficient in managing various rheumatic conditions, including arthritis, soft tissue
rheumatism, osteoporosis, complex connective tissue diseases, and systemic vasculitis. Her
clinical interests mainly lie in connective tissue diseases such as systemic lupus erythematosus,
systemic sclerosis, and connective tissue disease-associated pulmonary arterial hypertension.
Moreover, she is interested in immunologic disorders, including allergic diseases and
immunodeficiencies, with the aim of establishing a multidisciplinary allergy service in collaboration
with specialists from various medical disciplines.
As a proponent of healthcare innovation, Dr. Santosa has a keen interest in digital health
transformation and quality improvement, particularly in the realm of patient education and
empowerment in rheumatology. She leads a team of rheumatologists working on SingHealth
RheumConnect, a patient-facing chatbot project designed to facilitate the early diagnosis of
autoimmune inflammatory rheumatic diseases. The dedicated team continuously enhances and
updates the chatbot, offering relevant information to patients and caregivers. She and her collaborators are delving further into the utilisation of natural language processing in establishing a clinical decision support in rheumatology.