Six Ways The Healthcare Industry Is Reaping Big Rewards From Big Data

Six Ways The Healthcare Industry Is Reaping Big Rewards From Big Data

Six Ways The Healthcare Industry Is Reaping Big Rewards From Big Data

As if technology wasn’t changing the world enough, AI and big data are pairing together to provide an advantage to those who use them. Possibly the place where this is most prevalent is in the healthcare industry, which is thriving from all the information.

Big data is growing every day, and with it comes the chance for doctors to learn more about science, customer care, servicing and so much more. Here are several big ways the healthcare industry is experiencing the benefits of big data. Consider the ways that it might help your business or practice out as well.

1. Increased Success With Patients

Modern medicine grows and improves year in and year out, but the implementation of big data has helped doctors to improve every single day.

The information from the data allows doctors to make informed decisions on treatments for their patients. Even if the illness is rare and often unseen, the vast amount of information can help doctors make the right call on solutions.

As an example, Concentric Health is helping doctors make critical health decisions in partnership with their patients using a health platform that acts as a decision-making guide for patients and clinicians. It helps both groups to better understand their options and likely outcomes while in a clinic or in a ward.

Without the big data available, as well as big data analytics to sort it, these doctors wouldn’t have the ability to predict outcomes. That would leave their patients in limbo until they could find information elsewhere.

Luckily, that big data is readily accessible to them these days, so they’re able to help patients with a higher rate of recovery.

2. Diligence In Patient Care

Every doctor strives to give their patients the most consistent care possible. But with hundreds (if not thousands) of patients on their list, it’s hard to keep up with that level of care.

Big data has helped buck that trend by reporting every single treatment, checkup, prescription or surgery each patient has ever had. From there, the doctor uses the analytics tool to sort through treatments, organize it and assign the next steps much quicker. This can help the doctors determine proper treatment processes for their patients based on the very illness or injury that they have.

For instance, the National Institutes of Health (NIH) recently announced the “All of Us” initiative that aims to collect 1 million or more patients’ data that includes medical imaging, socio-behavioral, history of patient disease, treatments and even environmental data over the next few years.

3. Lowered Costs

Medical expenses can rise fairly rapidly if a doctor assigns several unsuccessful forms of treatment for their clientele. Those costs add up quickly and leave the patient with thousands of dollars in costs.

These days, doctors are able to minimize the risk of unsuccessful treatments with predictive data and information that can assist them in assigning the correct forms of prescriptions, surgeries or rehabilitation, to name a few.

Not only will the patients save big, but healthcare companies will too. Insights generated from big data create distinct advantages for providers, manufacturers and pharmaceutical companies:

• Providers, such as clinics and hospitals, can improve patient care by streamlining workflow processes, resulting in more time with patients and better outcomes at lower costs.

• Medical device manufacturers can create better, innovative products to solve health issues at a lower cost.

• Big pharma benefits from better research and development, resulting in more effective drugs, shorter production times and lower costs to the consumer.

4. More Effective Medicine

Any healthcare professional will tell you that medicine is a very fickle thing. It takes constant customization to a patient’s dosage in order to ensure their optimum health.

Big data has helped with this growing concern with information on both the side of the prescription and the side of the patient. That information allows medical professionals to adjust treatment plans based on the results and effects they witness.

The signs that they see in their patients help them make informed prescriptions. For example, these signs could include a change in the patient’s diet, significant mood shifts, increased pain, a spike in blood pressure and so much more.

5. Advanced Security For Patients

The exchange of personal information between doctors and patients is sacred. It needs to be handled with the utmost care and protection.

Big data analytics is just as much of an alarm system as it is a preventative treatment resource for the healthcare industry. The data can report any suspicious activity that it sees.

This could be things such as cyberattacks, insider misuse, ransomware, hacks on a healthcare system’s cloud security and much more.

6. A More Aware Community of Doctors

Lucky for patients, doctors aren’t keen on withholding industry-changing information for themselves. They share their information with the entire healthcare community.

Shared information about solutions allows doctors to measure certain conditions of a patient and predict the possible outcomes on a more efficient basis. The vast amount of information is increasing their accuracy with health predictions.

Reap The Benefits Of Big Data For Yourself

Big data can also greatly benefit you, but you must have a plan. If you are a healthcare provider, the following steps are important to your success:

1. Look at the problem(s) you are trying to solve, and decide whether your data can be a solution.

2. Determine how to clean and structure your data.

3. Develop an airtight data strategy and data governance policy.

4. Identify the partners that are experts in data analysis and can deliver the insights that you seek.

This article originally appeared on forbes.com To read the full article and see the images, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
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