Nearly every sector is using Big Data and the most profited one is healthcare. So, today we are going to discuss with you everything about Big Data in the healthcare sector. Let’s start to be aware of how healthcare sectors are using Big Data differently.
Red, yellow and blue pills like Gems that every person used to enjoy as a kid and noticed reasons to look sick. Finding explanations to not go to school, and act uncool was a homesick memory that everyone used to value in their childhood.
As we grew up we understand that our whole childhood was dishonesty, because those gems were a mock treatment. It was nothing but the sample attachment.
The palliative effect is anything that seems to be what “real” medical does but isn’t. It does not contain any active element meant to affect health.
Not, going somewhere but the health center next to our house had two doctors. They used their opinions to make medication decisions but, as the generation passed by the opinions started taking the support of the information.
Now, they analyze the clinical data, the records, and make a knowledgeable decision. Doctors now don’t consider the patients their ownership, rather understand a patient to the best decision.
Nowadays understanding the disease and treating it at an initial stage is far easier. With data, prevention has become cost-effective.
Also, it is accurately said that prevention is better than cure. This mission explains how-
- 1 Big Data in Government Health Policies
- 2 Why so much of Big Data?
- 3 Big Data in Healthcare
- 4 Healthcare Data Analytics
- 5 Artificial Intelligence
- 6 Data Applications In Healthcare:
- 7 Big Data Examples in Healthcare
- 8 IoT and Big Data Analytics in Healthcare
- 9 Summary
Big Data in Government Health Policies
Discussing 2017 the government of India launched National Health policy and in 2018 the Ayushman Bharat National Protection Mission(ABNPM). This task was given the highest importance but do you know what made the government do so? THINK!
It is the power of Data that helps to reorganize the priority. From the beginning of the population to money everything is in numbers. These numbers when organized in standardized clusters to get meaningful vision forms Data sets. The unstructured or structured data are stored, evaluated, and interpreted and based on the evaluation which is done using the Big Data tools for better decisions or tactical moves.
Similarly, the objective of ABNPM is to comprise over 10 crore poor and vulnerable families. This scheme will provide coverage for up to 5 lakh rupees per family per year for secondary and tertiary care hospitalization. This is the power of BIG DATA.
Now the question is what is the reason behind it? The better decision for the welfare of the people or PM’s strategic move.
You cannot be Artificially intelligent to find this solution.
Before we start conversing Big Data and the real-life applications in healthcare we can abide here and thank Data and Science for transforming the healthcare industry. The decreased cost of treatment, improved quality of life, forecast of outbreaks of plagues, and preventable disease awareness has helped to save thousands.
Why so much of Big Data?
The reason behind the climb over this is because the big data revolution has changed the way we live. The previous years have seen a huge generation of data that has impacted our day to day lives, but when it comes to healthcare, the field not have the development. It is a fact that the healthcare industry has certainly trailed behind other industries like banking, retail, etc. in practicing Big Data. This is because these industries have adopted Big Data earlier and have earnt profits and greater customer satisfaction. But, the transformation that Healthcare has undergone in recent years is a blessing for the world. Interested to know how? Read below-
Big Data in Healthcare
Decisive and life-saving outcomes are the two great things that have made a big and successful bang through Big Data. It is a fact that gathering the data must have been expensive and time-consuming. But, with the arrival of technology not only it is simple to collect and store the data but, getting insights from it has also become so easy.
Healthcare Data Analytics
With analytics, data-driven results are made simple. Forecast and solving of a problem can be done in speed. It calculates methods and treatments quicker. Improved track of inventory also makes sure that one has to never be sorry.
The volumes of data in healthcare organizations are growing exponentially. Artificial intelligence helps to create actionable insights to not only improve treatment quality but healthcare organization’s competency. It is gradually being applied to the lot from data acquisition, interpretation, and the automation of repetitive tasks.
Data Applications In Healthcare:
1. Patients Predictions
In a private hospital, you will hardly see people complaining about the doctor’s absence. This is achievable because of Data Analytics. Through this hourly, daily, weekly calculations can be done.
With the “time series analysis,” technique perfect algorithms can be derived and future tendencies and admission can be predicted. So if there is a necessity for extra staff, active steps are taken. Decreased waiting times for patients and improved quality of care can help them to recover fast.
2. Electronic Health Records (EHRs)
Assume you are getting prompt warnings and reminders of getting a new lab test done. Or the doctor tracing your prescriptions to keep a check on you. With digitalization and big data, this is an advantage to the industry. With no trouble of paperwork and files, your demographic data, medical history, allergies, laboratory test results can be stored online and the work can be reduced.
3. Real-Time Alerting
Clinical Decision Support (CDS) software helps to evaluate medical data on the spot. This provides health practitioners with advice as they make doctrinaire decisions.
For example, if a patient’s blood pressure increases terrifyingly, the system will send an alert in real-time to the doctor who will then take action to reach the patient and control measures to lower the pressure.
4. Enhancing Patient Engagement
The world is changing to a healthy lifestyle. Through the appointment, marketers are trying to create a healthy secure situation. Customers are buying fitness trackers and smartwatches to stay healthy and keep an eye on their health and marketers are making good business by using this opportunity to the most. But, the hitch here is that since patients are monitoring their health, health insurance companies are providing incentives to lead a healthy lifestyle and so they are giving money back to people using smartwatches.
Big Data Examples in Healthcare
1. Big Data and Cancer
Big Data plans to collect data from pre-treatment and pre-diagnosis data to the end-stage. The data is combined with clinical and diagnostic data, it will make calculations feasible for cancer care. This analytical analysis helps to classify different cancers and improves cancer treatment. This proves the biggest advantage of Big Data in the healthcare industry.
By monitoring the historical data of patients with related conditions, predictive algorithms can be developed using R programming and big data machine learning libraries to project patient track.
It is sad, that 96% of the theoretically available data on patients with cancer is not yet evaluated. Hence, flatiron Health developed a service called Oncology Cloud. This service plans to gather data during diagnosis and treatment and make it available to clinicians to advance their study.
2. Big Data Helps Fight Ebola in Africa
Big Data helps forecast the spread of plagues. Utilizing the location tracker, population movements can be forecasted and the spread of the virus can be reduced. This gives insights about the most affected areas, which in turn heads to better planning of treatment centers and imposes movement limitations in those areas.
IoT and Big Data Analytics in Healthcare
IoT adds immense significance to the healthcare industry. The devices produce data about the health of a person and send it to the cloud will lead to an excess of visions about a person’s heart rate, weight, blood pressure, lifestyle, and lot more. During Big Data real-time monitoring of patients can be done. This will help in active care. The sensors and wearable devices will gather patient health data even from home and will help to monitor the healthcare organizations. This will also offer remote health alerts and lifesaving visions to their patients.
Smartphones have added a new aspect. The apps allow the smartphone to be used as a calorie counter to keep track of calories; pedometers to keep a check on how much you walk in a day. All these have assisted people to live a healthier lifestyle. Besides, this data could be shared with a doctor, which will help with specified care and treatment. Patients can make lifestyle options to remain healthy.
Big Data has been a strong transformation for the healthcare industry. Starting from understanding the customers or patients to categorized services it has come a long way. With technologies like lean and predictive analysis, it has enhanced the growth many times. However, this is just the initiation. With the development of technologies, new and improved treatments and diagnoses saving more lives by treating more diseases are doable.
Therefore, this was all about Big Data in Healthcare. Big Data is penetrating in almost all the sectors and that is why we want to make you aware of its career opportunities.