The collection of patients’ records in healthcare industry and their health-related data at various checkpoints, institutions, and establishments leads to the creation of Big Data. This data cab be highly complex for traditional software to handle or manage. Some time this data require huge amount of data storage space to manage or handle.
The collected data is analyzed for to purify the results. It includes collection of information, group them, and cluster them to identify the criteria. After the final phase of analysis the researcher establish the outcomes based on the data for healthcare system.
According to a recent study by Loud Cloud Health, the global digital health market will experience a 37.1% growth in 2021. Not to mention that there are 599 data breaches in the US healthcare industry as of 2020.
Furthermore, the US healthcare industry was worth $2,612 billion in 2020. However, 43.4% of adult Americans are inadequately insured. Nevertheless, around 72% of the population believes that the biggest concern regarding health in the world is COVID-19. In the year 2020, around 42% of physicians reported feeling burned out.
In light of this information, let’s take a quick look at how data science can reshape the healthcare industry. We will also study about the latest technologies:
· Drug Discovery
Discovering a reasonable solution to an ailment is not a walk in the park; hence, when we talk about discovering a drug that could work, several things have to be considered.
First of all, the voracity of combinations and various elements that go into just creating the perfect drug is overwhelming; what data science does that effectively shortens timelines and reduces clinical attrition through an improved decision-making process.
Through AI (artificial intelligence) into the mix and you have a system that has an appetite for crunching numbers and can offer you results at a much lesser time and effort taken otherwise. More importantly, ML (machine learning) and DL (deep learning) in drug development pave the way for Deepchem.
· Enhance Security & Reduce Fraud
The growing ability of data at central locations and the ever-increasing integration of highly diverse and data-generating technologies becomes a necessity to provide customer privacy. Patient private and personal data cannot be simply allowed to flow through the waves freely.
In fact, all sort of security measures come into mind, including end-to-end encryption, firewalls in place, network security, antiviruses, and making sure that none of the data is being leaked; otherwise, people with malicious intent would definitely find the loophole they need to attack and steal valuable information.
While the current observation shows an overflow of information with little to facilitate healthcare institutions to fortify themselves. Nevertheless, companies like AM LLC, FireEye, and Project Hosts are some of the few that are considered best in offering healthcare institutions cybersecurity solutions.
When it comes to the study of whole genomes of organisms, Genomics incorporates various elements from genetics. Genomics, a combination of recombinant DNA (deoxyribonucleic acid), DNA sequencing methods, and bioinformatics, is studied along with the structure, function, and evolution of genomes. Genomes, in short, are known as the organism’s complete set of genetic instructions.
Considering that just one whole human genome sequence can produce around 200 gigabytes of raw data, there is no doubt that the application of data science can be a welcomed addition.
As the massive amount of data can be partially managed through data compression technologies, data science will help in drawing out practical insights from large-scale data.
· Health Monitoring
We live in a world where wearable technologies and IoT (Internet of Things) are flooding our everyday lives and use in both private and professional lives. In fact, in current times, we are experiencing the advent of IoMT (Internet of Medical Things).
These wearable and interconnected devices collect an incredible amount of information that can include a patient’s current and most recent interactions as well as their past medical history. In short, with data sciences modules put into place to study and analyze collected information, the technology can implement real-time monitoring of patient’s health through sensors, devices, etc.
· Predictive Analysis
While data at healthcare institutions is increasing at an alarming rate, many still lag behind in implementing the right tools, gadgets, or technologies to make use of this valuable data. Accuracy of data is the key factor for doctors. Once they have structured data out of raw data using some statistical tests. Then they can make informed decisions based on hypothesized results.
Apart from real-time analytics, as mentioned above, doctors and nurses can also derive useful information from patients’ personal healthcare records to draw out inferences based on sound medical judgments and their expertise. Thus it can lead to predictive analytics or even to prognosis.
· Medical Imaging
Technology has boosted each and every field of life. In digital health technology, it refers to visualize more clearer images of body parts and joints. So the expert can diagnose, treat, and guide the patient for medication.
Medical imaging refers to techniques and processes used to create images of various parts of the human body for diagnostic and treatment purposes within digital health.
With data sciences, an immense number of data can be assimilated. This data is fed into a logic-based system, such as machine learning algorithms to develop a software. The software tool must be capable to identifying various imaging techniques. It must be providing diagnostics based on the study of the image. At Crowd Writer UK, software and tools are used to determine the originality of efforts made by young and aspiring pupils.
· Self-care Services / Telemedicine
As more and more data flows through the air, people, patients, and customers become more familiarized with various technologies.
There will soon come a time where robots and software will allow healthcare automation. Likewise, following in the same direction, data science can be helpful to train the bot. Especifically chatbots, to offer support to online visitors.
This will open doors for self-care/telemedicine services, where the patient can simply seek out remedies and corrective action by simply filling out a form or searching for relevant information online. Healthcare institutions can also work towards building their own virtual healthcare assistants.
· Tracking & Preventing Diseases
It shouldn’t really come as a big surprise that as our lives become more connected. Not only humans but our wearable devices would also be communicating with any new place that we visit. Hence patients would be able to carry their entire medical data with them.
This means that any new healthcare professional dealing with a new patient can back-track. It also can trace the last medical support that the patient received. Hence the treatment which the patient gets is in continuation with their medical record and symptoms.
It goes without saying that big data can provide healthcare companies the information they need. This information can streamline customer processes when utilized appropriately. However, that is not all. Applying data science delivers a number of benefits, including personalized healthcare experiences and services.
I hope this post is able to offer you meaningful insights. It explains, how data sciences can impact or reshape the healthcare industry. It also explains well, how to bring about new technologies into existence. That’s it for now. Cheers, and all the best for your future endeavors!
Stella Lincoln currently works as the Assistant Editor at Dissertation Assistance. This is where higher education students can acquire a professional essay writing service from experts specializing in their field of study. During her free time, she likes to surf the internet to find out about all the latest tech developments.