Big Data in Healthcare Interoperability: All You Need to Know
What is Interoperability in Healthcare? Interoperability in healthcare is the ability for different healthcare information technology (HIT) systems to access, exchange, interpret, integrate, and use data cohesively. Because the existing software in the industry is developed in silos, it leads to disconnected communications when paired. Integrations do work to an extent but interoperability offers a holistic view of patients despite the different technologies used across hospitals, medical practitioners, pharmacies, etc.
Why Does Healthcare Interoperability Matter? It matters for the sake of delivering much-needed value-based care that supports enhanced patient care and critical healthcare outcomes. Interoperability in healthcare helps to access and share clinical data such as a patient’s lab results or treatment plan. Interoperability ensures that patient data is secure even as it is accessed across several systems, irrespective of the technology or the operating system used. Also importantly, interoperability can lead to a better understanding of a patients’ symptoms because of integrated patient data and help in developing their treatment plan in a more timely and efficient manner. Interoperability in healthcare relies on health information exchange networks (HIE) that are purposefully designed to assure secure transferring of healthcare information. Healthcare utilizes HIE along with electronic health records (EHR) meant to store all healthcare data digitally, and so supports in maintaining patient data in the best possible way.
Main Challenges Of Data Interoperability In Healthcare
How Does Healthcare Benefit From Data Interoperability? Healthcare interoperability ensures timely and efficient hospital record storing/delivery, which has been a concern over the years. It improves the rate of accurate diagnosis and treatments and enables the management of the patient history in a more efficient manner. Not only does it help in patient care but also in helping with staff efficiency, productivity, and workload management. Other benefits include: ● ● ● ●
Easily locating the patient’s data, without delays or interruptions. Data is accessible to medical professionals automatically. Seamless access to all critical information of every patient sorted and categorized. Higher productivity due to seamless management of patient data and operations. Better diagnosis and treatment plans based on historic patient data, medicine dosages, procedure history, allergies, medical reactions, etc.
Big data in healthcare is complicated to handle and process. Repustate and many other AI-based companies helped healthcare companies and decision-makers analyze this data and transform it into valuable information through platforms powered by artificial intelligence. This is a necessity as growing demands on the medical industry explode as the world becomes smaller and more connected, and as can be seen with the Covid19 pandemic. AI-based healthcare data management and interoperability can lead to vital insights on how to handle communicable diseases, exchange important R&D developments, as well as better operational management in crisis and healthcare strategies. With an increase in the acceptance of AI technologies as well as government policies and tax regulations that favour innovation through machine learning, healthcare big data can be used for better patient care the world over.
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