Data science has been adopted to some degree in healthcare, with fantastic results and hopes for the future.

From predicting treatment outcomes to making patient care effective, there is no doubt that its application in the future will take the healthcare industry to greater heights.

Health data generation is on the rise, and data science would gain more adoption in handling it and making accurate future predictions about individual and population health.

Proper data utilization would further boost generation from newer sources, including the varied Internet of Medical Things (IoMT) and wearable devices.

The field of data science would be more defined as the technologies involved becoming more advanced—machine learning and deep learning.

The scope of the discipline would be more defined as it gained popularity for solving problems using data.

Training in data science would involve more formal structures than are currently applicable for computer science, even at the undergraduate level.

Data science roles would increase as more and more health organizations adopt data science and require skilled manpower to handle their user data.

Data science would experience adoption in more facets of healthcare.

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Obisesan Damola

Damola is a medical doctor who has worked in the Nigerian healthcare industry for a little over 3 years in a number of primary, secondary, and tertiary hospitals. He is interested in and writes about how technology is helping to shape the healthcare industry. He graduated from the College of Medicine, University of Ibadan, the foremost medical training institution in Nigeria.

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