Over the past few years, data had served as one of the rich sources of insight for every industry. If analyzed correctly, one can get their decision-making juices flowing. In fact, the time has come when several organizations have reached the tipping point where they require making use of such technology which has the ability to consume and analyze that information. The only problem is that they have built capacity for analytics production, but not insight.
Other than data analytics, big data has been generating lots and lots of hype in almost every industry and healthcare is no exception. If you ask me to sum up the entire healthcare industry in a few words I would simply say it has been a continuous evolution, progression, discovery, and invention. Of courses, problems have always remained a constant factor but there have been solutions too. For example, antibiotics and keyhole surgery to artificial hearts and 3D imaging studies, innovation is given to providers across all disciplines. But do you know what’s more bothering the healthcare industry these days?
In the present scenario, healthcare seems to be transforming into a consumer-driven industry where providers aren’t found competing against themselves but also creating the most attractive, intuitive, and impactful experiences for a population that is no longer shy to express what it wants. User-friendly experience is something that everyone craves for. Apart from this, gone are the days when intuition was enough for quality patient outcomes. And data science seems to be providing pretty much rewarding outcomes in fast, scalable, and precise ways. Read away!
Big data in healthcare
The application of big data analytics has offered a lot of positive, life-saving outcomes like never before. I am simply referring to the vast quantities of information being referred to in this era of digitalization. With the rise in awareness and implementation of healthcare analytics, the phrase – prevention is better than cure turns out to be true. Apart from data-driven findings to predict and solve a problem before it is too late, this tech also allows professionals to access methods and treatments faster, where they can keep accurate track of inventory as well as involve patients in such a way that they can take good care of themselves using different set of tools like never before.
Big Data applications in healthcare
Other than being aware, it is equally important to implement these strategies in health care. Gone are the days when industries used to choose standard regression-based methods, today they have shifted their focus to more future-oriented like predictive analytics, machine learning, and graph analytics. Down below I would like to mention a few examples of Big Data Applications in Healthcare that are worth looking!
#1 Patients predictions for improved staffing
One of the best examples of big data is solving the classic problem faced by shift managers. How many people to put on staff at any given time period. I mean if you put too many workers than chances are there that you may run the risk of having unnecessary labor costs add up. This might also result in poor service outcomes. I happened to stumble upon a Forbes article stating how four hospitals being a part of Assistance Publique-Hôpitaux de Paris have been using data from a variety of sources to come up with daily and hourly predictions of how many patients are expected to be at each hospital.
#2 Electronic health records (EHRs)
Another most widespread application to consider in medicine. Keeping the normal scenario in mind, every patient has its own record in terms of demographics, medical history, allergies, laboratory test results etc. These records are shared via a secure information system and are available for providers from both the public and the private sector. EHR’s provides the best assistance by allowing doctors to implement changes over time with no paperwork and no danger of data replication. In addition to this, they even trigger warnings and reminders when a patient should get a new lab test or track prescriptions to see if a patient has been following doctors’ order.
Kaiser Permanente is a leading name to consider. They have fully implemented a system called HealthConnect that shares data across all of their facilities and makes it easier to use EHRs.
#3 Informed strategic planning
Using big data analytics in the healthcare industry work wonders for professionals when it comes to strategic planning, all because of better insights into people’s motivations. Professionals now can analyze check-up results among people in different demographic groups and identify what factors discourage people from taking up treatment.
It may quite interest you to know that the University of Florida made use of Google maps and free public health data to prepare heat maps targeted at multiple issues, such as population growth and chronic diseases. As a result, their insights gleaned and allowed them to review their delivery strategy and add more care units to most problematic areas.