MedGenome Labs, Ophthalmology, Disease Officer, N. Dr. Soumittra
Medical big data
Big data and big data analytics are the buzzwords we’ve heard over the last few years and are relevant to all disciplines and disciplines. In the field of medicine, the process of clinical recording and analysis has been carried out with great care in the past, leading to the association of diseases with genes, understanding of disease epidemiology, hypothesis generation and testing. I have contributed. Advances in computational science and data processing have streamlined the management of healthcare big data, creating opportunities to impact healthcare systems with accurate predictions and disease management. Sources of medical big data are electronic medical records, medical imaging, clinical registrations, large clinical trials, large epidemiological studies, and government billing records. Medical big data applications include rational clinical decisions, disease progression prediction or prognostic modeling, disease monitoring, public health and research.
MedGenome has led the development of disease-specific knowledge bases using large clinical datasets to initiate hypothesis-driven research on complex diseases.
Ophthatome – The Knowledge Base for Eye Disease Research was launched in April 2018. This knowledge base for eye disease is a comprehensive collection of clinical, phenotypic, and biochemical data for researchers and clinicians to design studies that address the critical unmet needs of eye disease. Provides a platform. Ophthatome currently contains selected clinical and phenotypic data from 581,466 cases, including 524 disease types and 1800 disease subtypes, 35 different eye regions and more than 40 clinicals. Contains variables. Almost half of all cohorts have longitudinal data with up to 5 years of follow-up.
A searchable interface allows you to perform complex queries to perform demographics, disease types and subtypes, disease course or severity, specific tissues affected by the disease, drug reactions, and many other clinical cases. And you can select a specific disease cohort based on phenotypic parameters.
The knowledge base provides options for selecting cohorts with specific, well-defined quantitative and qualitative characteristics, separate from disease type and subtype. The availability of a well-defined clinically defined disease cohort facilitates strong genomics, pharmacogenomics, and clinical research, and discovers new biology of eye disease.
The database is continually updated with new data and follow-up cases, as registered in Narayana Nethralaya’s EMR.
Ophthatome – Addendum
Ophthatome was developed by MedGenome in collaboration with Bangalore’s Tertiary Ophthalmology Hospital and research institute Narayana Nethralaya. † The ophthatome knowledge base is built on electronic medical record data.