How AI Technology Can Support Patients and Healthcare Workers

Technology has dramatically advanced over the past several decades. Artificial intelligence, which was first introduced in 1956 by John McCarthy, is slowly becoming a crucial part of modern healthcare practices. AI can be used for several different applications, including electronic health record systems, surgery assistance, intelligent prosthetics, and more. 

While AI applications in medicine are still in their early days of infancy, we can still explore all of the progress that has already been made as well as the range of possibilities AI offers for the future. With AI, your organization’s EHR interoperability will be better than ever before. Let’s start by examining the potential applications of AI in healthcare. 

Current and Future Applications of AI in Medicine for EHR Interoperability 

AI has the potential to improve your organization’s EHR interoperability like never before.

robotic hand and human hand
Scientists and developers are still scratching the surface of AI’s capabilities.

Artificial intelligence can help make everyone’s lives easier, including patients, physicians, nurses, and hospital administrators. As AI systems become more sophisticated, they can help physicians achieve better health outcomes than ever before when combined with EHR interoperability and other data solutions. Let’s see how researchers are actively working to implement AI technology in medicine. 

Image-Based Algorithms

During the fall of 2018, researchers at the Seoul National University Hospital and College of Medicine developed Deep Learning-Based Automatic Detection (DLAD). This AI algorithm was designed to detect abnormal cell growth in chest radiographs. When comparing the accuracy of this new algorithm against regular physician detection abilities, the algorithm outperformed 17 out of 18 doctors. 

Other algorithms like the Lymph Node Assistant (LYNA) by Google AI Healthcare have also been developed to help physicians identify suspicious regions that are undetectable to the regular human eye.  

Brain-Computer Interfaces

A brain-computer interface (BCI) is a device that receives and decodes brain signals to direct physical activity. Someone might try to move a prosthetic limb or navigate a computer program using a brain-computer interface. BCI-controlled devices are typically designed to be wearable or at least portable. Some BCI devices are developed to help patients recover from injuries while others are meant to replace a lost function. That said, many of these devices are still being developed and are not yet ready for use. 

Electronic Health Records

Artificial intelligence can also be leveraged to improve an organization’s electronic health record. AI systems can leverage the mass amount of data inside a patient’s EHR to detect disease, predict the risk of surgery complications, improve diagnoses for certain illnesses, and more. Researchers also believe that AI can help improve EHR interoperability and reduce clinician burden. 

Drug Development

Much of the drug and pharmaceutical industry is bogged down by long and expensive development processes. But with AI, companies can increase their efficiency and accuracy during the research process. For instance, BioXcel Therapeutics uses AI to help identify and develop new medications. 

Diagnosis for Deadly Blood Diseases

The Beth Israel Deaconess Medical Center, which is the teaching hospital for Harvard University, is using AI technology to identify and diagnose deadly blood diseases while they are still in their early stages of development. Using AI-enhanced microscopes, physicians can search for and detect harmful bacterias in blood samples at a faster rate than ever before. 

Right now, healthcare regulations do not address AI technology. Regulations regarding risk management, technical documentation, surveillance, and more will need to be addressed within the next few years. However, the FDA is already looking into regulatory frameworks for AI medical devices. 

Fhirstation by Iron Bridge

Multi-tenant Software as a Service (SaaS) solution for EHR vendors and healthcare providers

two doctors examining medical records
hirstation by Iron Bridge is designed to improve EHR interoperability by enabling information exchange between multiple parties.

As your organization begins to implement new AI technologies, it needs to maintain a high level of EHR interoperability. Fhirstation by Iron Bridge allows vendors, clinics, and other healthcare organizations to exchange information with each other. By breaking down information blocking, fhirstation makes it easier than ever for these healthcare players to communicate and collaborate with each other. 

Fhirstation also offers SMART on FHIR for patient access applications, powerful data analytics, adapters, and implementation services. Together, these services allow your organization to operate smoothly and efficiently while also reducing costs and clinician burnout. 

AI is not set to completely replace healthcare workers, but rather assist and enhance their performance. AI has the potential to help organizations cut costs, build personalized medical treatments, and reduce clinician burden. It will be exciting to watch AI continue to grow and expand its capabilities in the medical field. 

Are you interested in improving your organization’s EHR interoperability? Iron Bridge delivers cutting-edge solutions for data integration, public health management, patient access permissions, and data aggregation. With Iron Bridge, your organization can remain at the forefront of the medical industry. Contact one of our team members today for more information!

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