Transforming Healthcare Sector with Blockchain.

Transforming Healthcare Sector with Blockchain.

The unexpected emergence and quick but the uncontrolled worldwide spread of COVID-19 Virus show us some of the gaping holes in the existing healthcare surveillance systems, facilities, infrastructure, and the inability to handle public emergencies.

The unexpected emergence and quick but the uncontrolled worldwide spread of COVID-19 Virus show us some of the gaping holes in the existing healthcare surveillance systems, facilities, infrastructure, and the inability to handle public emergencies.

Problems with the Current Healthcare System

Unfortunately, there are a lot of issues that we can observe when it comes to the traditional healthcare system. Some of them are the following :

  1. *Outdated Healthcare Surveillance systems: *Though organizations and governments are doing almost everything in their power to contain the spread of the Coronavirus, their process is struggling with the timely sharing of news & information with local and international health enforcement agencies like among different countries and between WHO. Preventing, and controlling diseases that have epidemic potential is the biggest challenge for us. China’s current disease surveillance system, for instance, is an updated version of a system that is five decades old.

  2. Under-reporting: The coronavirus outbreak has raised concerns over the under-reporting due to the current infection and death statistics being speculated to be much higher than reported.This underreporting can be caused by many disruptions in the system, such as the lack of data transparency. Unfortunately, it is impossible to measure the seriousness of this outbreak without access to a secure, decentralized surveillance system.

  3. *Non-optimal data management: *Experts who study the spread of disease, are facing the task of gathering, verifying, and cleaning data in an efficient manner. This results in a data management issue. Epidemiologists need high-quality data to model virus statistics. Using these models, they can provide government agencies with recommendations about the best methods to contain the disease. But that data is hard to get or its integrity cannot be verified, thus of no use to epidemiologists.

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