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Healthcare is changing, and the future of healthcare will depend on personalization. As technology becomes more advanced, doctors are using it to provide personalized treatment for patients. Doctors who take a one-size-fits-all approach to treating their patients are quickly becoming obsolete as medical professionals find new ways to treat people based on their individual needs and preferences.

In this article, we explore three reasons why the future of healthcare depends on personalization.

Proactive Disease Prevention

Doctors can now take a more proactive approach to disease prevention. With the use of genetic testing, doctors can determine if certain treatments will be successful before they’ve even started treatment. The result? Less time wasted on ineffective treatments and less stress for patients because their doctor had already planned out the best course of action beforehand.

Collaboration

One-size-fits-all approaches have always required collaboration between different team members – healthcare professionals with differing specialties working together to provide all necessary care for an individual patient.

Doctors who work collaboratively also help each other stay up to date about discoveries without having one person learn from others’ mistakes (and being unable to correct them). Personalization allows doctors to work collaboratively across disciplines to provide the best possible care.

Personalized Medicine

Customization is nothing new when it comes to medicine, but personalized medicines are something different entirely. By tailoring treatments specifically to an individual’s genetic makeup and environmental factors – whether related or unrelated – physicians can treat diseases more effectively than ever before.

In some cases, a custom treatment may replace standard therapies altogether-saving time, money, and resources spent on ineffective or inefficient drugs while still providing exceptional results.

Research has already shown that we could save up between $300 billion and one trillion dollars per year if prescription drug prices were reduced by just thirty percent based on personalization models rather than traditional ones. Personalized treatments can also be more effective in treating certain diseases.

Using Automation Where It Is Needed

We are already seeing how automation could change the landscape for healthcare professionals. For instance, IBM Watson runs automated diagnoses with up to 98% accuracy rates while simultaneously sifting through thousands upon thousands of patient records at speeds humans cannot match without assistance from technology tools like machine learning algorithms.

As we progress into this new era where information becomes paramount, doctors will need to shift their focus towards educating patients on how to self-manage their health throughout the course of an illness.