With the inception of the New Year, it makes sense to keep an eye on the top health IT trends of 2024. So EMR Software vendors, healthcare organizations, and providers know what will dominate the healthcare IT landscape which can open new avenues for improved patient care and streamlined workflows.
Advanced AI Technology
Advanced Artificial Intelligence technology is seen as a robust solution to make way for a connected health IT ecosystem where information can be shared easily and securely. AI tools have been deployed to streamline tedious processes and enhance interoperability for care coordination.
The Stoltenberg Consulting’s yearly Health IT Industry Outlook survey revealed, that 32% of health systems saw machine learning and AI solutions as their main priority in 2023.
Digital Health Predictions 2024
Using Health IT for Improved Patient Care
Health Information Technology (IT) has transformed healthcare delivery by increasing the efficiency, accuracy, and accessibility of patient data.
Health IT will continue to dominate in 2024 to support the seamless communication between healthcare professionals through Electronic Medical Records (EMR) Software, telemedicine, and data analytics, resulting in coordinated and tailored care. It will allow for easy access to a patient’s medical history, prescriptions, and test results, assisting in timely diagnosis and treatment decisions.
This year, remote monitoring tools and telehealth platforms will continue to improve access to care. Fostering continuous patient engagement and proactive care of chronic illnesses, particularly in marginalized areas
Semantic Interoperability
AI-driven semantic interoperability is the main trend that will take over in 2024. The use of artificial intelligence (AI) technologies to facilitate the seamless exchange and interpretation of healthcare data across different systems, platforms, or devices ensures that disparate sources of information can be understood and utilized effectively.
Semantic interoperability entails not just the interchange of data but also the comprehension of that data’s meaning and context. Natural language processing (NLP) and machine learning techniques, for example, are used to evaluate and interpret unstructured healthcare data (such as clinical notes, imaging reports, or research papers) by finding patterns, relationships, and context within the data.
In 2024, AI-driven semantic interoperability will contribute to closing the gap between various healthcare systems by facilitating better data sharing, better decision-making, and more thorough patient care. Additionally, it will guarantee that data is appropriately comprehended and applied to a variety of platforms and applications.
Meaningful Enforcement of Information Blocking
It is expected that this year the healthcare industry will move to improve interoperability options for seamless data sharing. Information blocking is the deliberate obstruction of the exchange or use of EHI by people or organizations (such as technology suppliers or healthcare providers) for illegal purposes.
To verify that regulatory criteria are being followed, meaningful enforcement entails actively monitoring, looking into, and sanctioning instances of information blockage. Penalties, fines, or other sanctions may be applied by this enforcement to organizations that are discovered to be impeding the proper exchange of health information.
Regulators are hoping to improve patient care and results by stimulating innovation in healthcare technology and fostering more transparency, interoperability, and accessibility of health data through the enforcement of these requirements in 2024.
