Do you know? As per Deloitte's survey in 2018, around 1100 US managers' organisations were using AI, and 63% of surveyed companies were already employing machine learning for their businesses. Like every other business or field that can use machine learning, healthcare is one of them. If we talk specifically about machine learning, you can understand it as an application of Artificial Intelligence where technology provides computer systems with the ability to learn and program without human interference. This process of machine learning in the healthcare sector begins by observing the database and finding matching results for better decision-making.
As you are a student who wants to contribute to the healthcare industry but as of now, all you can do is look for nursing assignment help. Well, to help you and evaporate your confusion regarding things such as; the benefits of machine learning in the healthcare sector, what are the types, how it is used, its future in the healthcare sector and some challenges as well. In this write-up, you will get an overview that will help you understand this better. For starters, if you are in a dilemma about whether you have any career option in this field or not, then the following is your option.
Every combination of two fields doesn't have to bring confusion in your life. Suppose you have the slightest inclination towards Information Technology and wish to serve humanity. In that case, you can pursue a few degrees to be a part of two sectors simultaneously. Those options are
You must be aware of the old times when nurses used to file data manually in registers. If not in real life, you must have seen in old movies how there used to be a big room in every hospital filled with racks and dusted piles of files, where doctors have to manually check a patient's medical history to proceed with their further treatment. But thanks to the improvement in technology, now it is easier to get the entire patient history in a few tabs.
Nowadays, the healthcare sector is better and more efficient. And to make that impact in the healthcare sector, the most common use of traditional machine learning is precision medicine. Where predicting what treatment protocols have the chance to succeed on patients based on their medical history. Because of the help of datasets being saved in the computers, it is easier to predict what treatment will benefit what sets of people with what disease. This process is called supervised learning.
The healthcare system is used to working as it was if there was no technology intervention. Some might prefer to neglect the fact, but machine learning has been the best collaboration ever for the healthcare sector. If you are wondering why then you must see the advantages mentioned below:
You might be an undergraduate student whose current tension is to find the best nursing assignment help so that you can finish your nursing projects within the timeline. However, if you come out from your struggles for once, you will be able to see how machine learning has been nothing but an additional help to the healthcare sector.
As a nursing student, you must have interacted with the Nursing Care Plan. This plan takes care of everything from a patient's entrance into the hospital to their exit. This five-step NCP contains processes such as assessment, diagnosis, planning, implementation, and evaluation. In old times, these plans weren't that effective because there was no assistance of technology to guide the correct process. However, all the nurses treating a patient are now interconnected and constantly updated regarding medication and healing plans. Machine learning is a framework of artificial intelligence that has helped nurses and healthcare workers predict the possible outcomes of a treatment on a set of patients.
The advantage of machine learning in the healthcare industry is that it helps physicians prescribe efficient treatment plans and reduces the chance of getting the wrong diagnosis. A patient's medical history is available online thanks to the electronic health record system (EHR). This digitalisation has made the treatment process more accessible; everything is a game of a few clicks, from diagnosing the illness to planning and executing the correct treatment. Similarly, you get assignment help from experts within a few clicks.
As we have mentioned earlier, in older days, patients' data used to be recorded manually. Now imagine if someone has visited a hospital to get treatment for some illness. A slip is ready to be torn on the patient's name whenever the patient visits the hospital. With each improvement and fluctuation in health, the entire prescription changes making a pile of papers attached in a file. Now suppose that file goes missing; what will happen then? The entire medical history and records of the patient are gone. However, since technology has entered, even if a file goes missing from one system, backups are always available due to the digitalisation and connectivity of the patient's phone number with the medical statements.
This might seem something extra to you, but with the way, technology is making its place in the world, the day is surely not far away when robots will be performing surgeries. While surgical procedures demand great accuracy, quality of adapting to changing circumstances, and a steady approach to performing surgery. Indeed, surgeons are proficient in their work and can efficiently perform all surgeries. Yet if there is robotic assistance in the hour of requirement, it will make the defined tasks easier and sum up efficiently.
One of the most significant advantages of technology in the medical field, which no one can forget, is the recent COVID-19 outbreak. We all recently saw how this infectious disease affected the world and how many people lost their lives due to its spread. But thanks to machine learning technology in the healthcare sector, it guided professionals in understanding and predicting the outcomes, whether good or bad. With the constant medical research with the help of machine learning and technology, it has become easier to save lives. Now genius minds have such technology tools, which help predict such epitomes before it takes the worst phase.
Machine learning has proven to be the biggest advantage in enhancing and making an efficient working environment in hospitals and the healthcare sector. Here are some machine learning applications that have helped the healthcare sector.
Indeed, technology has been a big help to humans in each industry, specifically in the healthcare sector, by providing valuable technical assistance, from predicting the outcome of a drug to easing healthcare workers' everyday tasks. Out of all the good qualities, there are some challenges too in the healthcare industry due to machine learning, which are mentioned below.
How you face challenges while writing your assignments require external support in the form of assignment help. Similarly, these machine learning challenges in the healthcare system will be resolved over time.
You can always depend on My Essay Mate for your assistance, and our experienced academic mentors will never disappoint you. Suppose you are still confused about the correct future path. In that case, whether you do nursing or informational technologies and which field of learning will be better for you, you can ask our professionals. The academic mentors at My Essay Mate are always there to guide you.