In India about 75% of health infrastructure, medical manpower and other health resources are concentrated in urban areas where only 27% of the population live. Health is an area of grave concern, especially that of the rural population in India. Though the Indian government is able to provide free medical care facilities, on-ground execution and reach is still very low. The Raj Reddy Center with access to it’s tech research institutions, will help leverage the good quality of emerging technologies (like AI and such) to amplify the impact of existing organizations’ efforts. The center will collaborate with the government and Ngos to identify the problems, take-up projects based on that and brainstorm solutions.
The primary healthcare data collection project aims to create a healthcare management application towards creating a unified database of all the patients to avoid the hassle of bringing all the medical reports each time a medical camp visits them. It gives the free flow of choosing selected fields from a metadata for a particular health screening drive. This will also give a complete view of all the previous reports and hence suggest followup consultation or treatment.
The cancer screening application is being built for early prevention and detection, diagnosis and treatment of patients with oral cancer. The app records the medical history of a visiting patient, uploads all recommended test reports, and directs the patient for a doctor consultation and guides for a consistent or regular treatment procedure.
Study report says around 50-60% of Indian women and children are anaemic. Despite the treatment solution being so simple, robust prediction mechanisms of Anemia and Awareness on Government’s intervention are low. Due to the gaps in rural healthcare services, identification and screening of anaemia becomes a challenge which can stop 7% of maternal mortality, and health issues in both mothers and children. The project is to create AI models for anemia prediction, especially in mothers and children for early and accurate detection. It will allow a basic smartphone to be able to carry out the entire screening/prediction process. It also keeps a record for further continuous long-term treatment of a chronically ill patient.
The project aims to automate the process of detecting and tracking malnutrition by reducing/removing human intervention in the pipeline. Explorations underway on available smart scales for weight measurements and computer vision based solutions for height measurement.