“Being able to not only handle massive amounts of provider and patient data without batting an eye but also take action on that data and communicate critical results in real-time goes beyond providing value- it can change lives.” –Ken Cerney, Chief Executive Officer, LI Path.
Today everything is dependent on Big Data. With the people going digital for everything, massive amounts of data are generated each second.
According to Healthcare Weekly, global Big Data in the healthcare industry is anticipated to reach USD 34.27 billion by 2022 at a CAGR (Compound Annual Growth Rate) of 22.07%. Moreover, the Big Data Analytics segment worldwide is expected to go worth more than USD 68.03 billion by 2024, which is driven mainly by continual North American investments in electronic health records, workforce management solutions, and practice management tools.
With the recent development in AI, machine learning, image processing, and data mining techniques, it is possible to find patterns and readable visuals utilizing Big Data in Healthcare.
According to Amazon, healthcare providers worldwide are utilizing AWS to deliver improved and specialized care to the patients. This is because AWS reduces the time and effort required to execute existing workloads, and also allows you to access powerful latest analytics capabilities along with fulfilling your privacy and security requirements.
This fuels the demand for AWS Big Data Certified professionals in the healthcare industry. To give a boost to your career you can go with AWS Big Data Certification training online and land into the most functional industry.
What is Big Data?
Today, industries are flooded with data-both structured and unstructured. The massive amount of data that inundates a business on a daily basis is referred to as Big Data. instead of the data, the thing that actually matters is what organizations do with the data. Big Data is analyzed to extract meaningful insights that help in better decision-making and strategic business moves.
The traditional and analytics software is unable to guide businesses in better decision-making. The insights drawn from Big Data can help researchers in the healthcare industry to clearly understand the data to improve the results of clinical trials, eventually improving the revenues of the practice themselves.
Top 10 examples of Big Data in Healthcare
1. Electronic Health Records
This is one of the best Big Data applications in the healthcare industry. It overcomes the challenge of data replication of the patients.
The insights of the application are:
- Makes important data of patients including medical history, and general information available to the authorized organizations.
- Generates electronic statistical reports with essential aspects such as health checkups, allergy history, demographics, or medical tests.
- By enabling people to keep track of their health issues, prevents unfortunate deaths.
- Notifies patients about their routine checkups and other medical care.
2. Projection of Expected Number of Patients
By leveraging machine learning and Big Data, this application accurately predicts the number of doctors required to treat the patients properly and efficiently, thereby preventing the situation where a patient suffers pain or even death due to the unavailability of doctors at the most critical time.
The insights of the application are:
- Solves the problem of predicting the required number of doctors at a specific time.
- Provides a platform that is easy-to-use for all types of users, doctors, nurses, shift managers, or so.
- Reduces waiting time for patients, eventually improving the quality of healthcare services.
3. Preventing Opioid
The class of drugs that include illegal drugs like heroin, morphine, and also pain relievers such as oxycodone, codeine, etc are referred to as Opioids. The U.S. faced the problem of excessive use of Opioids by the people, which resulted in road accidents, and severe deaths. It was this time when an application introduced Big Data to solve this problem.
This application identifies patients abusing opioids and reports to the health physicians. It finds effective ways of preventing people from having an overdose unconsciously and preventing them from wasting a lot of money on these illegal drugs. In this way, it enables people to live healthier and longer.
4. Real-Time Alerting
It aims at helping people take the treatment before the situation goes critical. In this way, it prevents untimely loss of lives thereby serving individuals and society. This application tracks the patients in real-time and shares the required data with the doctors so that proper action can be taken to avoid the critical conditions.
It collects health data of the patient to improve and promote social awareness. In addition, by using the power of data science, it can improve the treatment process for specific diseases.
5. Improves Patient Engagement
By providing wearable health tracking devices, this application predicts the disease that a patient may be suffering from, thereby eliminating the risk of being a potential patient. It also enables a doctor to identify the symptoms of specific diseases hence improving the quality of treatment. It focuses on using the necessary data and engaging people to enhance medical services. The objective of this application is to minimize the frequency of patients visiting doctors by regulating daily activities and eliminating minor problems.
6. Cure Cancer Using Big Data
This project is still in the development process and is expected to guide in the treatment of this dangerous disease. As the disease has no specific treatment yet, ad it is caused due to unusual multiplication of cells, keeping track of patient data and analyzing it can guide in creating a better treatment plan.
The significant achievement of this application is that it helped in finding Desipramine that serves as an antidepressant for some lung cancers.
This application is designed to provide primary treatments, keep track, and monitor critical patients remotely. The process of treatment is digitized and a patient can get advice from doctors regardless of their geographic location or time.
As the state of a patient’s health is monitored, it ensures the stream of healthcare efficiently while reducing a lot of time.
8. Transform Diabetes Care Using Big Data
Diabetes is considered to be one of the biggest problems, as it serves home to many diseases and reduces the immune power of the patient. This application connects the power of AI with the data collected by wearable devices. These techniques help in raising blood glucose, controlling blood pressure, insulin, diet, and weight data from users.
9. Big Data Analytics in the Prediction of Heart Attack
One of the deadliest health problems that take many lives every year is a heart attack. This application is meant to evaluate complex datasets to project, prevent, manage, and treat heart-related diseases. It can predict any cardiovascular disease by analyzing the user’s food habits, lifestyle, and medical prescription records.
10. Big Data in Preventing Dengue Outbreaks
The biggest problem is that there is no vaccine curated to fight against dengue. This application makes the Big Data approach to tackle this epidemic disease. It takes the data from social networking sites such as Facebook, Twitter, and more, and blends it with Big Data to predict the chances of the devastating situation due to Dengue.
Last but not the least, researchers are finding out ways to fight the pandemic we are facing now, the deadly COVID-19. The application is still in process and it is expected that it will succeed in helping fight the disease.
These applications are increasing the demand for skilled and certified Big Data Professionals. To get a boost in your career you can opt for taking up an online training course to get certified. Get yourself enrolled in an accredited online training provider and add AWS Big Data Certification to your resume.