5 Ways AI Is Reshaping The Future Of The Health Industry

Whether it’s being used to drive surgery-assisting robots or find new links between genetic codes, artificial intelligence has countless applications in the modern healthcare industry that simplifies the lives of patients, doctors, and hospital administrators at a lower fraction of cost.

Read on to find out more about how developments in automation and artificial intelligence are being used in healthcare today, its benefits, and what this means for the future of medical professionals.

Improved Operations

As AI in healthcare increases, companies are developing technologies that help healthcare managers improve business operations through increasing cost-saving, decreasing patient boarding, optimizing staffing, and reducing the length of stay.

These AI applications in operations management are proven to provide positive ROI and free-up valuable employee time to work on more complex tasks that require a human touch.

To simplify the complexity of modern healthcare information technology, JD Edwards ERP has been committed to providing various services, including patient management, health cloud configuration, EHR, and other healthcare-related services, to ensure that patients are adequately taken care of.

By implementing AI in healthcare, we can improve the overall patient experience and reduce the burnout rate and other operational workflows that are causing inefficiencies.

Electronic Health Records (EHR)

As more healthcare facilities move from paper charts to electronic medical records (EHR), communication between patients and medical practitioners has dramatically improved.

This electronic access allows for a more in-depth and accurate evaluation that can save lives, time, and money compared to the traditional procedure.

This is particularly helpful in catastrophic events where people find themselves in mass casualty situations, as EHR can provide critical and life-saving information to emergency healthcare providers.

Beyond interpreting records and providing new information to physicians, AI algorithms can help evaluate a patient’s record and predict potential risks for a disease based on their previous information and family history. The electronic record can provide information about a patient in real-time regardless of the location, which leads to more accurate diagnosis and better overall patient care.


AI in telemedicine has helped medical professionals further expand their scope and capabilities by delivering new models of care and support, particularly in rural areas and underdeveloped hospital facilities.

With AI capabilities, medical practitioners can help improve the quality of life of elderly patients as they are available round the clock for assistance. As a result, a considerable amount of time and labor will be saved by using AI compared to the existing procedures.

While it’s unlikely that AI will replace or eradicate the need for human doctors any time soon, the hybrid model of humans and machines working together presents a scalable automation paradigm that those already in or considering a medical professional should be willing to adapt.

In line with this, healthcare providers can leverage the services provided by JD Edwards ERP to spend less time managing servers and focus more on patient care and business outcomes.

Disease Diagnosis

In this fast-paced and modern generation, several types of AI techniques can be used for various diseases to help find similar cases and help the patient receive the most accurate diagnosis.

A great example of this would be Harvard University’s teaching hospital, Beth Israel Deaconess Medical Center, which uses AI-enhanced microscopes to scan blood samples to identify and predict harmful bacterias (like E. coli and staphylococcus) with 95% accuracy.

Modern solutions based on AI technology can help doctors arrange a comprehensive approach to disease management and spot signs of a particular disease early on, even before evident symptoms appear.

Furthermore, AI-driven software can also be programmed for deep learning technologies to analyze images and recognize patterns that open up the potential for creating algorithms to help medical experts and scientists diagnose specific diseases more accurately in a shorter period.

Development of Medicines

The drug development industry has been experiencing one of the most significant AI breakthroughs by increasing medicines’ efficiency and accuracy. Companies are using AI to find links between chemicals in the human body that were previously unknown to accelerate the discovery and development of medicines that can fight some of today’s most serious diseases.

By embedding data into a high-dimensional space and extracting key relationships, artificial intelligence can provide innovative solutions for all drug discovery stages. This shift will usher in an era of cheaper, quicker, and more effective drug discovery to redefine how scientists develop new drugs.