Introduction: AI in healthcare business process improvement

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SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningArtificial intelligence in healthcare business process improvement, has a huge role to play in global healthcare. Almost 50% of the global population doesn’t have access to key health services. Mainly driven by poverty, those who can’t cover the out-of-pocket costs, end up avoiding treatment for as long as possible. 

UNCTAD statistics show that to keep up with sustainable development goals, more than $140 billion should be spent yearly between 2015 to 2030. Investing in artificial intelligence is expected to bridge that unaffordable health service gap to reach underserved patients. That leads to one question. What is the role of artificial intelligence in healthcare business process improvement? Here is my take on emerging markets.

Current Healthcare State and AI Impact

In 2017, the number of uninsured Americans skyrocketed for three whole years. It went from 26.7 million (2016) to 28.9 million (2019), increasing by 2.2 million. That is over a 10% growth. In many countries, healthcare is very expensive. 

Improving access to healthcare is crucial to help everyone in our society become productive members of our community. Technology has always been here to provide better delivery of healthcare. 

The first case of AI in this field was recorded in the 90s when machine learning (ML) became a key component in medical imaging and identifying cancers. The better it became, the more improvements it provided, enabling proliferation, analyzing, and tracking of massive amounts of data. So, what is it that artificial intelligence can offer in terms of business process improvement? […]

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