The medical industry has become the scene of some impressive technological applications. Whether it's research centers, clinical trials or therapeutic facilities, technology has always been a leader behind the scenes and on stage.
The medical community has successfully used technology to enhance images of machines, create sophisticated operational tools, and make a huge leap in the pharmaceutical industry. Thanks to constant collaboration, technology has become the main foundation of modern healthcare.
Admittedly, this is a large and complex area, with the participation of various participants. From hospital management to service providers and insurance companies, there is a full pillar of providing medical services. Considered fragmented, not all sectors of the health sector have begun to integrate new technologies that will help increase efficiency and reduce costs.
As is usually the case in complex multi-level industry, there are differences, but this does not prevent other areas from flourishing. As technology continues to evolve, it is rapidly changing the healthcare sector.
It is not surprising that the industry attracts new technologies and large corporate players. Technology giants like Apple, Amazon, and Google have begun to infiltrate the healthcare ecosystem to find a place in the chaotic but growing healthcare market.
AI and its applications
When it comes to artificial intelligence applications in the healthcare industry, it can be argued that “artificial intelligence applications have not yet reached artificial intelligence.” However, there are various successful examples of the use of artificial intelligence. Together they provide high-precision information processing and increased productivity.
AI can be used to analyze and disseminate data that can be stored on the blockchain, which directly affects patients and service providers.
One application of artificial intelligence is machine learning, which assumes that a machine "uses a large amount of data to learn for itself and ultimately recognize more unknown data."
Artificial intelligence is a broader concept of application beyond machine learning - and the importance of machine learning is evolving in the healthcare industry.
Predictive diagnosis and results
Large datasets and past examples make machine learning easy to integrate and easily integrate with the healthcare industry. He studies the scheme for detecting tumors, recommends diagnosis, and in some cases predicts the length of hospital stay. Google worked on this and introduced an algorithm for neural network software that predicts patient outcomes [access time, probability of arrival, and probability of death].
AI can be used to understand health insurance plans by providing a database from different platforms [stored in a common block chain] and providing answers related to the bill. AI will analyze and disseminate clear and understandable data, avoiding unnecessary repetitions and increasing efficiency. Storing confidential data on the blockchain means that only the necessary information is available for analyzing the entity.
Information Retrieval and Collection
Applied AI can also use cognitive technology to collect, create, and deliver medical records to a data center for researchers and service providers. This helps solve data exchange problems. When converting millions of records in the form of images into electronic documents, they need to be reviewed and adjusted. Then a feedback system for machine learning is systematically provided, which in turn trains the system to achieve higher accuracy.
From digital medical records to managing them - what will happen in the future?
The industry is not just for technology giants. Given the many solutions that new technologies can offer, this is the right moment for entrepreneurs who want to relax. Opportunities come in the form of data, namely money and power. The key is that each person’s health data can fill up to 300 million books.
Democratizing healthcare helps save time and money. This leads to daily use cases, such as wearable medical devices. Think about a disease assessment and share real-time data with your doctor. The opportunities are huge and growing.
In the last decade, the goal of technological progress in the healthcare industry has been to digitize medical records. The question is how to manage these massive datasets. Progress is being made, but, like any interruption, it takes time.
The artificial intelligence tool in healthcare is in high demand for the simple reason that human error is one of the main reasons why technology is used in this area. Therefore, in addition to serious failures in the eyes of the industry and the public, any erroneous change in the use of AI tools can lead to significant consequences.
However, this only means that it has great potential for improving the healthcare industry. As industry slows, of course, the discovery of the application of these new technologies, all possibilities remain unknown. But one thing is certain: new technological advances still exist, and we will soon see their impact.