To integrate all the disconnected/independent systems such as blood bank, blood testing DB, blood screening DB, Donors details and medical history, EMR, Hospital systems, Laboratory systems into one permissioned blockchain based platform
To categorize and grade the blood banks using a scoring system, for implementation of phased quality improvement systems.To provide evidence for the formulation of evidence-based policies and programs for blood transfusion services in India. To develop an updated database with basic essential details of blood banks in the country.To have an AI based evaluation and predictive analysis methodology which can be automatically executed.Eliminate manual process, outdated communication channels and provide an automated process for execution and communication
Indian healthcare lacks connected blood donor registry and unique donor identification program. With no such connected blood donor registry in place, blood donors found reactive during their previous donation at a particular blood bank again end up donating at multiple blood donation camps including lots of under quarantine donors
Most blood donation drives are occasion-driven or time driven with less co-relation with the actual demand at that time. On the one hand 30% of the patients don’t get the components which they are in need of , and on the other hand 10-12% of the components get wasted due to expiry. In India, 90% of blood donations are carried out in camps set up by various organizations.
Though donated blood goes through the testing phase and safe blood is separated, sometimes unsafe blood can also penetrate this test and reach the patients infecting them. National AIDS Control Organization recently reported that 2,234 patients got infected with HIV cause of bad blood transfusion in the last 16 months and 14000 infections in the last 7 years
Hospitals in India today has to operate without an integrated EMR which causes inadequate historical data of every patients and donors. They are depended upon manual processes, their communication channels, paper work and staffs. Thus resulting in process delay, mismatch and chaos during emergency situations on rare blood scenarios.
Hospitals has their own blood bank and also connected with independent blood banks for blood transfusion. Since blood transfusion has to go through several processes including initial screening, filtering etc and its historical data has to come from that respective blood bank. Hospitals rely upon this historical data without any transparent system to track its history