For example one of the critical challenges of the resource deficient public health infrastructures worldwide is the spread of the communicable diseases.
As seen during the outbreaks of the fatal communicable diseases like Severe Acute Respiratory Syndrome (SARS) in 2003, H1N1 in 2009, the Zika virus in 2016, Ebola and Middle East respiratory syndrome (MERS) in 2014, and the Nipah virus in 2018, infectious diseases can spread rapidly within the countries as well as across the national borders.
Artificial intelligence (AI) has been making its way into the healthcare sector, presenting a variety of possibilities in disease diagnosis, treatment, and prevention. The adoption of artificial intelligence in the healthcare sector is growing substantially. One of the other major problems plaguing India’s premier public hospitals is overcrowding. It takes months for even those with terminal diseases like cancer to get started with their treatment.
The presence of AI would allow individuals to easily access and secure patient’s medical data, then understand and timely analyse their illnesses. Successful implementation of AI can provide major relief to these issues.
AI IN HEALTHCARE
The most critical, vital and fundamental part for initialising Artificial Intelligence for the CEO of a company is to start thinking as a data scientist.
This activity in itself is contradictory to the thought process of a doctor or a medical professional, therefore it is the primary requirement to employ an analytical data expert who is the blend of a mathematician, a computer scientist and a trend-spotter who has the curiosity to explore the problem that needs to be solved so as to make the organisation AI-enabled. The basic requirement to successfully implement AI for a smarter healthcare is the availability of adequate digitised data.
This story is from the October - November 2019 edition of eHEALTH.
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This story is from the October - November 2019 edition of eHEALTH.
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