There are numerous verticals in the healthcare industry, and each one of them views Artificial Intelligence (AI), augmented reality (AR), and blockchain through a different lens. Business leaders must analyze some of the key challenges faced and then map technologies identified to understand what application would emerge at the top for every sector.
The radiologists’ spend long hours carrying out intensive manual tasks as part of the process of image analysis. Longer hours and an increasing number of patients also mean that they don’t get enough time to read images leading to errors and misdiagnoses. Furthermore, the ongoing development in imaging technology will make it challenging to analyze a broader set of data. The application of AI algorithms for image analysis can save time and enhance productivity. An AI algorithm reducing the number of clicks to streamline image analysis process and guessing the next steps based on context will boost the image analysis process. AI has shown to perform equally or better than current human-based standards.
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The advancement in the diagnostic imaging, real-time data streaming, and data processing has revolutionized how doctors use the images and scans to plan the surgical procedure. However, the surgical procedure itself has not witnessed any advancement. During the surgical procedure, the surgeons have to focus on multiple things at once such as vital signs data, a cluster of images, and other essential patient indicators on many 2D flat screens. This often forces the doctors to look away from the patient increasing the rate of errors.
Augmented reality-based headsets and solutions leverage 2D images and other patient data and morph them into a 3D model of the patient anatomy on the patient’s body. AR can revolutionize the efficiency and cost while reducing the error rates because of the high degree of precision in surgical navigation. Additionally, AR offers enhanced surgeon comfort, reduced effort, potentially lower costs due to the replacement of display systems.
Doctors struggle to keep track of patient records even if the patient is on the same health system for decades. This is a significant challenge for doctors because the care team did not have access to the patient’s entire medical history. Moreover, patients often forget all of the instructions provided by the doctor which are complicated to interpret. The Centers for Medicare and Medicaid Services (CMS) are replacing the existing EHR incentive program with the promoting interoperability program. CMS has launched specific provisions to sponsor chronic condition management. This mandates flawless data availability and accessibility between native and third-party health IT workflows powered by emerging technologies such as AI and blockchain.