Rescue With Big Data

D0773656 莫浩賢

Blog 4 Rescue With Big Data


In a world ravaged by COVID-19, big data gives insights into preventive action, illustrates the resilience of people and systems to combat the virus, and gives an idea about the population mobility of a country. These are all vital in mapping out a long-term strategy to stop coronavirus. Countries that have used big data have been able to sustain the outbreak so far.

1. Integration of Large Databases to Track Down Possible Infected
The Taiwanese officials were able to map out the person-to-person transfer and stop a good number of transmissions in the early stages of the outbreak. This was made possible by integrating Taiwan’s national health insurance database with the country’s immigration and customs database. Also, Armed with this information, the government was able to track 14-day travel histories and possible symptoms in its citizens. All of these citizens had National Health Insurance cards. Clinics, pharmacies, and hospitals across the country were given this information for every patient.

2. Making Clinical Trials More Effective

Clinicals trials operations gain great benefits from big data to connect patients with healthcare providers. This creates an environment where site and patient recruitment is faster and more targeted. Moreover, this will allow healthcare professionals to make faster and informed decisions based on accurate data. Doing so would save many lives.

source https://datafloq.com/read/preparing-disaster-importance-big-data-recovery/5390

Comments

  1. Big data is the process of digitally processing, converting, storing, and transmitting information such as activity observation pictures, restorative treatment, well being data, inbound and outbound traveller information, and flight data to supply pertinent units for translation and analysis.

    And through the connection of digital technology, quickly and correctly transfer digital information to each other, and establish a huge medical database for database interpretation, tracking, monitoring, analysis and other work, in order to explore useful and accurate scientific and technological information, provide the reference of the relevant units to take preventive and epidemic prevention measures to improve work efficiency.

    In terms of the worldwide episode of this episode, the big data technology epidemic prevention measures are basically pointed at the taking after three angles: infection following, therapeutic asset allotment, and reagent investigate and advancement.

    D0709115 區子軍

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