The ability of different healthcare information technology systems and software applications to exchange data with unambiguous, shared meaning, enhanced by artificial intelligence and reflecting current sector advancements, is a critical element in modern healthcare. This capability enables diverse systems, despite variations in their structure or design, to work together seamlessly. For instance, a patient’s allergy information recorded at a primary care physician’s office should be accurately and automatically understood by the hospital’s electronic health record system during an emergency room visit, regardless of the specific vendors or data formats used by each.
The significance of this capability lies in its potential to improve patient safety, reduce medical errors, and enhance the efficiency of healthcare delivery. Historically, data silos within healthcare organizations have hindered effective communication and coordination of care. Breaking down these barriers fosters a more holistic view of the patient, supporting more informed decision-making by clinicians and improving overall health outcomes. Furthermore, it provides a foundation for more sophisticated analytics and research, driving innovation and optimization of healthcare practices.
