Online Analytics

Through online analytics, companies such as Google or Bing integrate various computer programs and algorithms to track website activity. This includes traffic, where web hits came from, keyword searches, and more. Website owners then receive a list of charts comparing numbers to one another, as well as previous months’ figures.

Healthcare analytics are much similar – except for how they are inputted. With the Internet, information can be automatically collected. Healthcare big data must be manually updated to a database (which can include software). However, once put into place, this data can help translate an infinite number of big data. But unlike online analytics, which shows business owners from where their Internet traffic is directed, healthcare analytics has the ability to help people. Doctors can make predictive diagnoses, see trends or similar cases, while patients can see a bigger bang for their buck.

And without analytics in the healthcare field, megabytes upon megabytes are collected without serving a purpose.

Healthcare Analytics Breakthroughs

Today, Accountable Care Organizations (or ACOs) are building models to better serve healthcare data. At once the task was seen as too large to tackle, but considering the infinite benefits to be gained by documenting big data, researchers knew the hurdle must be overcome. By incorporating these same Internet-based logistics into the healthcare field, ACOs have made serious headway.

While the end result is far different between the two entities, the process is very much the same. Check out our resources page to find more today.

Foreseeing the Future

Today, those using these data analyzing techniques are known as early adopters. These early adopters compile and configure to help both patients and doctors. For instance, with data, doctors can see what percentage of the population has a certain disease, chronic sickness, and what symptoms they had during the process. For instance, doctors can look at recent census data and see that each physician averages 511 hyperlipidemia patients and only 145 diabetes patients. Therefore, statistically, it’s more logical for doctors to study hyperlipidemia treatment options, check for those symptoms, and have accompanying literature in stock.

Likewise, doctors can see what percentage of patients experience medicine reactions and treatment success, and base their prescriptions accordingly.

Additionally, data can be used to predict potential epidemics; patients can be informed of their susceptibility based on visit dates and their medical past. Doctors can also see which illnesses patients are more likely to catch, based on growing stats vs. pre-existing conditions. With this knowledge, preventative measures can be taken and patients, with their doctors’ help, can be better informed as to how to improve their health.

Head to our patient/customer profiling page to learn more today.

By collecting and packaging data in a central, searchable location, big data becomes infinitely helpful. Through the help of charts, unified search terms, and pattern identification – all of which contribute to multiple ways to streamline healthcare – wellness becomes an easier way of life, from both the entity and the patient’s point of view.

With Big Data Analytics, Healthcare Professionals Can:

• Collaborate on similar cases
• Compare patient symptoms
• Gain easy access to charts
• Collect sickness information
• Predict illnesses or clinic visits
• Perform quicker, more accurate diagnoses
• Create charts and graphs for easy-to-follow data translation

In contrast, when big data is unformatted, it is practically useless; there are simply too many numbers floating through charts to make any sense of what they can offer. But by harnessing the information that’s already available, wellness professionals can work together to make great strides in an efficient, healthcare breakthroughs.

Breaking Data Down

Within the medical field, big data comes in two forms – structured and unstructured. Structured data is that which can be found on a computer or database where it can be used in deciphering analytics. Unstructured data refers to doctor notes or patient charts that are handwritten/typed, but not yet entered into a system. There is some lag time with inputting this data – and combined with a growing number of patients and treatment options, the flow never stops.

Just how big is the data? Every year the amount of information in existence doubles, much of which is big data. As of last year, each day 2.5 quintillion (2.5X1018 ) bytes of data were created, bringing the grand total to well over 2 zettabytes (that’s over 2 billion terrabytes). Analyzing this info, however, can also provide a great deal of answers, especially in health care. Big data can help predict epidemics, allow doctors to compare symptoms with similar cases, provide more efficient patient care, and more. The benefits are almost as endless as the data themselves.

But without analyzing, it’s just data without a purpose.

Click our about us page to find out more about big data and how to make it work in your favor.

Cost Effectiveness

Perhaps the biggest benefit to this big data analytics is the lack of expense. While the data itself needs to be deciphered, there’s no outside research involved. Healthcare providers can gain access to hundreds of predictable diagnoses by using the data they already compile. Doctors can also help more patients while spending fewer resources and time on individual scenarios.

Additional Perks

• Patients can expect better value from their healthcare
• Lowering the burden on state-funded programs
• Reducing the impact of staff shortages
• Increasing healthcare treatments and delivery
• Finding patterns among diseases and their effects

To date, 90 percent of the world’s data is unstructured. However, by analyzing these numbers, specifically those related to healthcare, there is much to be gained. Professionals can host better treatment options while spending less time and money, while patients will receive better options and value – a win-win situation to adjusting the public’s view of health.