AI Changes Evidence-Based Medicine 

Reading Time: 2 minutes

The sheer (and ever-growing) amount of scientific evidence available makes it nearly impossible for healthcare providers to keep up with the latest trials and studies in their field. The National Institute of Health reports that only 20% of clinical care is based on research evidence. Recent developments in Big Data analytics and Machine Learning can enhance the practice of evidence-based medicine by offering an efficient technological approach to EBM.

EBM is never intended to replace the doctor’s clinical expertise, but instead to close knowledge gaps and present the practitioner with the latest scientific research to consider when exploring treatment options. EBM is intended to optimize the healthcare decision-making process by basing care options on scientific research (i.e., evidence). The strongest evidence comes from meta-analyses, systematic reviews, and randomized controlled trials. EBM can impact medical education, individual treatment decisions, population health guidelines, and administrative policies.

AI Changes Evidence-Based Medicine

Big data analytics, coupled with AI, will allow physicians to finally achieve evidence-based practices in today’s ever-growing data environment. EBM ensures that care providers integrate the most current clinical research evidence available and their professional expertise and the patient’s values when considering treatment options for care. EBM’s concept is that it is not enough to rely on a practitioner’s experience and expertise, but that treatment options must be based on the latest scientific research available. AI can fill knowledge gaps to ensure the patient and the care provider have considered all the available research when creating a treatment plan. Doctors and patients are on a continuous learning journey for the latest methodologies in diagnosis, prognosis, therapy, and other clinical and healthcare issues.

Evidence-based medicine is more than just using evidence to design treatment plans. It motivates healthy dialogue between providers and patients to make better decisions and create value. Plus, providers and patients can find a suitable plan while determining an appropriate treatment plan. Successful deployment of IT platforms in healthcare settings can offer greater potential to promote “Meaningful Use of Artificial Intelligence.”

Scalable Health specializes in providing next-generation healthcare data, analytics, and digital transformation solutions enabling healthcare organizations to optimize healthcare.

We provide and support healthcare technology solutions that employ next-generation technologies such as Big Data, Social, Mobile, and Cloud to deliver cost-effective real-time platforms and products enabling healthcare organizations to improve health care significantly, to manage patients and diseases efficiently with personalized care, reduce fraud and waste, accelerate drug development and achieve operational excellence.

Our focus on technology innovation and collaboration with the world’s leading technology companies helps us stay ahead of the curve. With extensive healthcare technology capabilities, world-class service quality, and a global resource base, Scalable Health understands industry-specific challenges. Our value lies in our ability to link the best technology solution to complex business challenges most cost-effectively and innovatively. Headquartered in New Jersey, we are a Minority Certified company by the National Minority Supplier Development Council and State of New Jersey, with operations in the USA, Europe, and Asia.

AI Changes Evidence-Based Medicine


Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.