Most Surprising Examples of Big Data in Healthcare


Industries of all shapes and sizes are integrating big data into their functioning, and healthcare pretty recently decided to jump on the bandwagon. Big data has proven to play a significant role in treating patients with various medical conditions while also providing every patient with more information to help cope with their diagnoses.

Through in-depth data collection and analysis that big data allows, healthcare providers are able to give more specialized treatment methods to the people that need their help. Big data in healthcare helps professionals make conclusions more quickly based on the increased rate of information that flows from the various analyses. This saves time and ultimately money for patients and the industry as a whole. Improved quality of life is what many, if not all patients seek, and big data in healthcare is making this a much simpler reality. These are a few surprising examples of big data in healthcare. The white vein kratom is an incredibly powerful strain of kratom that many people are turning to for their energy requirements. It has various benefits, including stimulation, energy boost, the elevation of focus, alertness, and concentration. It also has the power to kill pain and induce tranquility and calm. Even though it can bring all these benefits, white vein kratom especially shines in energy for which it is unmatched in the kratom family.

Keeps Patients Involved in Their Health

    Our health is very important to us and we want to be involved in it as much as possible. Knowing our diagnoses fully and tracking how our bodies are functioning are always on our minds.

Patients can now wear health tracking devices that make them more aware of their lifestyle choices all because of big data.

Big data in this use can also allow healthcare providers to see their patients’ lifestyle patterns. Data can go directly to the professional so they are kept up-to-date on how their patient is doing.

Wearable health tracking devices can potentially offer warning signs to patients about symptoms they might be experiencing and what illnesses they could correspond with. This will lead to fewer visits to the doctor in person for every minor symptom.

Based on what the device shows, a person can change their daily activities to better suit their needs. We want to be involved in any health-related decisions, like treatment. Big data is the way to do it.

Lessens Opioid Overuse

Whether consciously or unconsciously, many people who are once prescribed an opioid as treatment begin to overuse it. Some do not realize they are taking too much, while others get addicted to the feelings it can illicit.

Big data is being used in multiple ways to prevent opioid abuse, which is helping patients take the drugs as they are meant to be taken.

Big data analytics can review a patient’s use patterns to determine whether they are using the prescription to a harmful extent. It can also find ways to lessen the need for opioid use as a prescription to ultimately save pharmaceutical companies money and give patients better lives.

Opioids can be fatal if they are used incorrectly. Bid data could be the next step toward the solution that medical researchers need to keep these drugs out of the wrong hands.

Predicts How Many Healthcare Providers Needed Per Shift

    A common problem in any healthcare facility is not having enough medical professionals when there is a surge of patients. It is also a problem when too many are on staff and not enough patients require their care.

According to Healthcare Weekly, big data can benefit how many doctors and healthcare providers are available on any given shift. Throughout studying years of data on admittance rates, big data can make informed predictions about how much staff is needed at one time of the day.

Over and understaffing occur more often than not, which can lead to huge losses for a healthcare facility.

Overstaffing means that the facility has to pay doctors that might not be doing much work because there are too many of them. Understaffing is especially dangerous if there are many patients and not enough doctors to care for them.

By implementing big data in healthcare, the staff problem could be resolved to make the workplace more effective for everyone.

Offers New Treatments (and a Possible Cure) for Cancer

One of the most difficult questions of modern medicine is what the cure for cancer is. So much research has been conducted over the years, yet no secure answer has been found.

Only treatments that lessen the symptoms have proven effective, but are not a guarantee for the cancer being eradicated forever. Big data has the potential to find a cure.

Big data is being used to analyze complex data from patients, biopsies and other facets of the medical industry to find the most effective methods of treatment for different patients.

It is proving difficult to compare so much data, but there is a huge possibility for change in treatment.

While the cure is yet to be discovered, better treatments are resulting from modern big data use in healthcare. One day, with all the new discoveries, a cure could come.

Better Care for the Patients

According to Digital Authority, patient care is very complex because of the differences in every patient’s needs. Big data is helping create more specific treatments for every patient that works best in individual cases.

Having strong data analysis makes treatment much safer, especially in high-risk patients that might need extensive care.

Fewer incorrect diagnoses will occur when big data analytics are used because they will be more focused and accurate for each individual case.

Medical Advice via Technology

Who would’ve thought you could talk to your doctor from home through a video chat? With access to a smartphone and the implementation of big data, it is simple to chat with a medical professional from any place at any time.

This is especially beneficial for first diagnosing a patient as well as monitoring how they are improving over time. Doctors can check in on patients without frequent appointments in the office that might not be worth anyone’s time.

Big data analytics make it possible to prevent patients from being readmitted to healthcare facilities because of minor symptoms through the use of telemedicine. It can ultimately save facilities money because fewer patients will have to stay in the location for an extended period of time.

A quick discussion with a professional could make a huge difference in a person’s health, and it is made possible with big data in healthcare.

Healthcare can only benefit from big data. When lives are at stake, it is worth making the change to more modern technology.

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