Today people have now got done to electronic healthcare practices. It is very exciting to understand how fast the healthcare market is developing. According to one of the research in 2016, the global health market was estimated at around $180 Billion.
It is predicted that by 2025, the digital healthcare market will reach approx. $537 Billion.
Let’s talk about some of the most growing and latest technology trends that will sound an essential role in the healthcare industry in the year 2019 and ahead. We will also discuss the latest technologies influencing healthcare. We will recognize how they have served the healthcare field in different ways.
Blockchain
As its innovation and hype, Blockchain is familiar to us today. However, those who do not have any knowledge about this technology, Blockchain is a time-stamped sequence of the permanent history of the data that is being handled by a batch of computers that do not refer to any single item. Every single block of the data is obtained and attached to every other block by utilizing the cryptographic systems.
Medicine and healthcare appear to be experiencing many variations because of the blockchain. For example, the collecting of medicinal data is now more reliable with the use of blockchain.
One of the blockchain methods that take into thought the safe account and data sharing is restricted information to the open blockchain. This approach covers building proof of information uprightness. Using this verification, any customer can review the information without the requirement base on outsiders. Moreover, several blockchain development companies have now listed the healthcare business that builds reliable blockchain applications that assist in securing the honesty of the medical record. There are several methods by which healthcare and blockchain are related to each other and can communicate.
Blockchain also assists in the file transfers such as patient’s data, medicine history storage, scientific clinical trials, production and support of the blockchain network with the doctors, payers, and patients through Smart Contracts, so avoiding intermediation.
Artificial Intelligence
It is expected that the use of artificial intelligence in the healthcare sector is continuing to develop quickly at an annual rate of around 40% by the end of 2021.
Since is recognized that AI applications enhance the efficiency and rate of the diagnosis. The AI tools assist in examining the survey data more precisely and fast, so, letting the doctors be more severe with the diagnosis & view more patients.
The AI-based image recognition diagnostic devices are used to diagnose the visual and dermatological differences, diabetes and all the other diseases that induce vision changes. AI gains the information, processes it and gives an amazing output to the end-user. This makes AI beat market competition in the healthcare industry. AI apps assist in accurate and personally customized treatment path. The AI observed virtual nurse can serve to observe the patient’s health. It needs large capital for the method of research & development of the new drugs. Pharmaceutical practitioners need to take into consideration several factors like financial and ethical matters.
Moreover, AI and Machine Learning Technology serves to carefully examine the biological and chemical communications in the drug development method. For example, the GNS healthcare AI system and IBM Watson use for cancer treatment.
AR/VR
Today’s one of the buzzword and well-known healthcare industry trends is AR/VR. AR/VR gives an unusual possibility to build something that can totally transform how people communicate with the world. Health care is making the cost to the tremendous support of computer-generated reality. Since VR, now as AR and MR, have on discovering a place in the regular open awareness, frequently more health care services applications are developed regularly. It is predicted that the global healthcare market size using AR & VR around USD 569 million by 2016 and will grow exponentially.
Some of the Top Benefits of Machine Learning Solutions in Healthcare Industry:
-
Medical imaging:
With advanced Machine Learning Technologies such as machine learning and deep learning, computer visions have now become one of the most amazing discoveries in the healthcare industry. Several companies in the health industry are working to combine cognitive computing with genomic tumor sequencing to assist create advanced accuracy medicines. Furthermore, by executing machine learning in healthcare, it is likely to detect diabetic retinopathy in the photographs of the retinal fundus.
-
Building electronic smart records:
Today, there plenty of patient data in the healthcare sector. This has made it important for businesses in the healthcare sector to use smart EHR. The machine learning applications in the growth of electronic smart records include utilizing records with inbuilt artificial intelligence or machine learning so as to assist with maintaining medical records, recognition health conditions, and recommending treatment plans.
-
Robotic surgery:
Nowadays, robotic surgery has been winning huge popularity. Machine Learning Technologies assist in the use of robots for the surgical process in the healthcare sector. Replacing human surgeons with robots will have various advantages like operations in tighter spaces, with a finer part, and radically decreasing the opportunities for human-based challenges such as shaking hands. Machine learning in robotic surgery often centers on machine vision and is used to estimate distances to a much higher degree of accurateness or recognizing particular parts or processes within the body.
Bottom Line
There have always been examples of over-hyped technologies during the past, but machine learning is absolutely not among them.
Also as we reach the nascent era of the technology, with its potential only just read, the healthcare industry is undergoing an introduction of productivity and return thanks to machine learning services.
Most major healthcare professionals are already spending in Machine Learning Technology, identifying the important role of this technology in the future of the industry. Where it gets us from here will be interesting to see, but a learned, prepared idea with the proper experience will have the best opportunity of estimating its path.
