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Among all the significant transformations happening across various industries, healthcare is one such industry that is being revolutionized with the latest technologies to meet challenging demands of the time. The fundamentals of the industry are changing for better. AI along with several other technologies can help healthcare organizations efficiently operate to deliver better patient care. As the time advances, the technology introduces new trends and potential that possess capabilities to transform the industry further.
Here are the top 10 technology trends that will transform Healthcare in 2024.
With the growing population, AI and ML are also growing to offer new and innovative ways to identify disease, diagnose conditions, crowdsource and develop treatment plans, monitor health epidemics, create efficiencies in medical research and clinical trials, and make operations more efficient to handle increasing demand. Artificial intelligence along with machine learning can help solve many clinical problems.
The potential for robots in healthcare has reached beyond surgical uses. The robots used in healthcare will continue to perform more varied tasks in the coming years. They will be able to help doctors examine and treat patients in rural areas through telepresence, transporting medical supplies, disinfecting hospital rooms, helping patients with rehabilitation or with prosthetics, and automating labs and packaging medical devices.
There are various ways computers and machine vision are being used in medicine for diagnostics, viewing scans and medical images, surgery, and more. It is helping doctors to know exactly how much blood a woman loses while delivering in order to provide immediate care to reduce the mortality of mothers from post-partum haemorrhaging. The technology provides accurate intelligence eliminating the guessing game in the healthcare sector.
Wearable fitness technology is not only limited to tell people how many steps they walk each day. It possesses rather more opportunities for healthcare by monitoring heart rhythms, detecting atrial fibrillation and send reports to doctor, monitoring blood pressure and many more. Wearable devices will further help consumers proactively get health support if there are irregularities in their trackers.
Artificial intelligence and machine learning help analyse a person's genomic information to determine personalized treatment plans and clinical care. In pharmacology, oncology, infectious diseases, and more, genomic medicine is marking a great impact. Such information helps the medical community better understand how diseases occur and better way to treat the condition or possibly eradicate it.
Just like other industries, 3D printing technology enables prototyping, customization, research, and manufacturing for healthcare. Surgeons can replicate patient-specific organs using the advancements of 3D printing. It helps them prepare for procedures. Several medical devices and surgical tools can also be 3D printed. The technology makes it economic and effective to develop comfortable prosthetic limbs for patients and print tissues and organs for transplant.
In healthcare, digital twin is a near real-time replica of life-long data record of an individual. It can help doctors in determining the possibilities for a successful outcome of a procedure. It also assists them in making better therapy decisions, and manage chronic diseases. Overall, the technology can help improve patient experience through effective, patient-centric care.
As the healthcare centers are extending their reach in remote or under-served areas through telemedicine, 5G technology will potentially increase, the quality and speed of the network and prove to be imperative for positive outcomes. The technology can better support healthcare organizations in transmission of large imaging files so specialists can review and advise on care. It also enhances doctor's ability to deliver treatments through AR, VR and mixed reality while enabling remote and reliable monitoring of patients.
Scientists are capable of analyzing the atypical risk factors that were too complicated to quantify, using AI neural networks. It helps develop the industry in various ways such as by enabling retinal scans, examining and recording skin colour changes, and many more. Its proficiency in finding patterns will enable the unlocking of new diagnostic methods and discover unknown risk factors.
