How Machine Learning is Shaping Healthcare in 2020
We live in a world where we rely on data for doing a lot of things, including decisions, improving processes, doing business, and so much more. And as the amount of data we generate with literally every passing moment continues to grow, so will the scope of application of this data. And with healthcare, which is traditionally known to be a driver for innovation, so it only makes sense that modern, data-driven technologies such as artificial intelligence and machine learning would feel right at home in this industry. Research shows that artificial intelligence in the healthcare industry will grow at a CAGR of 50.2 percent and touch $36.1 billion in value by 2025. So, yes, machine learning and its parent technology AI have quite an intriguing scope in this sector.
But now it is time to take a look at the details, i.e., what role they play in healthcare. Given that the healthcare industry generates humongous amounts of data, machine learning, a subset of artificial intelligence, can put things into perspective. It means it can sift through this ocean of healthcare data, process it, analyze it, and then put it to use wherever the possibility is so presented. Since machine learning takes into account both current data and historical data, it can deliver substantially compelling insights to drive better decision making in all aspects of the business and its operations, including patient care, diagnostics, and more.
Now, let us take a closer look at the compelling benefits with which machine learning is expected to empower healthcare further.
1. Better diagnoses: Machine learning can analyze the patient’s complete medical records, including data about previous ailments, diagnoses, and more to help doctors make better and much more accurate diagnoses than it was previously possible. With some help from deep learning, cognitive computing, machine learning has already proven to be a terrific resource for diagnostics.
2. Tailored treatment: Since machine learning can analyze real-time data as well as patients’ historical medical data, machine learning enables doctors and healthcare professionals to not only achieve better diagnoses but also put together treatment plans. They could be tailored to the patient’s requirements as well as other relevant factors such as allergies, other medications, etc.
3. Foretelling outbreaks: The COVID-19 pandemic has shown the world how quickly things can unravel when one is unprepared. So, the healthcare industry will put machine learning to work and use it to keep an eye on relevant data and leverage it to predict outbreaks of any type of disease.
Machine learning has helped usher the healthcare industry into a completely new era — one where it is empowered and much more capable of helping people and their most complex ailments. So, go ahead and look up trusted EHR machine learning vendors to get started on integrating this technology in your healthcare institute as well.
