HOW TECHNOLOGY CAN IMPROVE MEDICAL TREATMENTS AND RESEARCH
1. OVERVIEW: WHAT IS BLOCKCHAIN AND BIG DATA IN HEALTHCARE
The average human lifespan is increasing across the world population, which poses new challenges to today’s treatment delivery methods. Healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general.
By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package. This is the industry’s attempt to tackle the siloes problems a patient’s data has: everywhere are collected bits and bites of it and archived in hospitals, clinics, surgeries, etc., with the impossibility to communicate properly. Indeed, for years gathering huge amounts of data for medical use has been costly and time-consuming.
Figure 1. [Workflow of Big data Analytics. Data warehouses store massive amounts of data generated from various sources. This data is processed using analytic pipelines to obtain smarter and affordable healthcare options]