How Big Data Is Used in the Health Sector? What Kind of Benefits It Delivers?

Big data is a concept that we face in many different areas today. We see projects developed with big data in different fields such as logistics, communication, information and production, and we are witnessing how things are done more easily. One of the areas where big data is used is the health sector. The healthcare industry, one of the largest industries of our time, demands both the highest level of attention and is also quite complex. We have studied how big data is used in this area.

Big Data Production in Health Sector

Before looking at how big data is used in the health sector, let’s look at how big data is generated in this area. Big data is actually a field that describes itself by its name. It means gathering a lot of information about a subject in one place. This non-structural stack of data is collected in databases. Data engineering is needed to make sense of this information.
Every information recorded in the health sector is combined to form big data. The demographic information of the patients, the characteristics of the groups in which the diseases are encountered, the duration of dealing with the patients, the prescribing and consumption of the drugs…. All the data you can think of in this field are actually a part of the big data.
This is how the big data may be used in the health system. So now, there are some questions to be answered. How do we deal with this huge data set? How do we get meaningful results from these data pieces? Where will we use these results?

Usage Areas of Big Data in the Health Sector

We asked the key questions, the answers came! The use of big data in the health sector can, in fact,

be examined in a wide spectrum. We have compiled the most common cases below.

Did you know that the biggest share in the spending sector in the health sector was created by the emergency services? Patients knocking the door of hospitals with an urgency; they are not treated sufficiently well because they do not resort to health services until the situation gets heavy, and the treatment processes become much more costly. Often the problems that can be overcome with early intervention are becoming more complicated.

big data for health sector

What Can Big Data Do?

Patient data stored in a digital environment can give a clue about the disease and health information. For example, in order to create regular check dates for a patient, the elegance of the patient can be recorded in the hospital. In this way, the patient is informed about when to come to the hospital, and these frequent checks help to diminish their problems.


Development of Infrastructure

Some days, the hospitals are more intense than others. Similarly, hospitals in some neighborhoods have more patients than others. In some hospitals, we wait for several hours, and sometimes we can get checked easily. Some days our doctor can give us less time than the other days. So what does that mean to health care? Are they just random situations or can they be avoided?

What Can Big Data Do?

In these cases, the answer to where we should focus is simple: Infrastructure In the period of the year, we can determine how many doctors, caregivers, nurses and office staff are needed by means of big data. In this way, which neighborhood should be opened in a new hospital, which hospital infrastructure should be developed in which direction… All can be answered with large data.

big data for health sector

Registration of Health Data

Every time you go to the doctor, have you noticed that you are telling the same things for the first 15 minutes? Disorders, allergies, diseases that are likely to be on the genetic map, drugs you used before. We tell each doctor, again and again, the same things. Even if we go to the same doctor most of the time, the situation doesn’t change.

What Can Big Data Do?

The situation mentioned above is harmful in many ways. First of all, the patient can skip what he/she has to say or be irrelevant; this leads to disturbances in the threat and treatment. Second, the time that is lost in this way both plays on the treatment time and the time of the other patients. Big data can prevent this time-consuming record of patients’ health data.
This was a general example of the use of big data in the health sector. Even these simple examples are so inspiring, who knows how fascinating it is to look at what can be done specifically in every area!

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