Big data is at the forefront of many industries worldwide, and the healthcare industry is no exception. In the healthcare industry, big data is available in massive amounts, containing the information of human health conditions and activities, and is collected through multiple resources like electronic health records, medical image analysis, wearables and medical devices, and more. As medicine and technology become more advanced, so do the abilities of big data. Here we take a look at some of the top advantages that big data has brought to the healthcare industry. (more…)
Every single day, a variety of issues from around the world appear on the news, on social media, and in our day-to-day conversations. But there is one particular issue that has recently been put into the spotlight: Climate change.
While the dangers of climate change have been an ongoing issue for some time now, people worldwide are fighting to save the environment now more than ever. Data may be able to help work towards a solution. Let’s examine a few ways:
3D printing has become a hot topic in recent years, and is being used in a variety of industries such as healthcare, engineering, architecture, and more. However, there is one key tool that 3D printing relies on that could make or break its future: big data.
Without the existence of this advanced data, some of the functions used in 3D printing would not be possible. But how do big data and 3D printing work together? Let’s examine. (more…)
You only get one chance to make a first impression. Sound advice for socialization, sure, but it can also apply to the world of higher ed. (Beyond the chats at the water cooler, that is.) It is advice that might be heeded during a professor’s first class of the semester…or maybe even the first few minutes of every lesson that professor is teaching.
But it can also be applicable to the technology an institution of higher education is using. Many colleges and universities are increasingly using data for a number of purposes – to increase retention, to identify and help struggling students, or to make processes more efficient, to name just a few. A data dashboard can help or hinder the analytics process. It is the first impression a user gets with the data, and if it is too clumsy to navigate, a user might not come back to work with the data in a meaningful way. If it is easy to use, it could benefit everyone in the community. Here is some advice about how to find success with dashboards, and what makes a good dashboard in the first place. (more…)
A hospital’s surgery department is often its biggest driver of revenue. As such, it’s important that surgical procedures start and end on time and are appropriately staffed. It’s also important that surgical rooms are turned around quickly and that surgery departments are minimally impacted by unexpected procedures.
Many surgery departments aren’t running at peak efficiency, but hospital administration is unclear as to the drivers of inefficiency. How can administrators better understand how to optimize the performance of their surgery departments? Here’s a look at some challenges and how surgery analytics can help.
Many colleges and universities are using higher ed analytics in one form or another, as they figure out how to best improve student performance or the school’s bottom line. For the most part, this is an individual venture on the part of the school, figuring out what data it can use to make a difference on its campus.
The United Kingdom is working on a different approach. It has spent the past year using a national learning analytics service. Institutions in England, Scotland, Wales, and Northern Ireland pool their resources and have opportunities to learn together about how to best use learning analytics. Here’s what collaboration around learning analytics through a diverse group of schools looks like.
As time goes by, we find ourselves exhibiting three behaviors: collecting, letting go, and welcoming change. It’s easy to become a collector and tuck away objects without realizing the inevitable cluttered chaos that will slowly emerge into our lives. We do it at home with knick-knacks that we stuff in our kitchen drawers, and we also do it at work with data that collects and never gets used. Whatever it is that you’re collecting, at some point you recognize that there is simply too much of it and it’s finally time to part ways.
In the Netflix show, “Tidying Up with Marie Kondo,” decluttering professional Marie Kondo talks about the KonMari method of cleansing. She encourages tidy hopefuls to keep “only those things that speak to the heart.” In other words, one should strive to become more mindful as to what they invest their time and dollars into and that we must truly re-think what we welcome into our living spaces. So how can you cleanse and reorganize your organization? Here’s how your team can use the six KonMari rules to tidy up your data.
Recent news from the world of higher education has been a real mixed bag. There was the feel-good story from Morehouse College, where billionaire tech investor Robert F. Smith shocked everyone with the surprise pledge in his graduation speech to pay the student debt of that school’s class of 2019.
The month before, the news was more sordid, as high-profile celebrities became the public face of a college admissions scandal. The two stories seem starkly different at first glance, but what they have in common is the fact that they shed light on the economic situations faced by students and families when it comes to higher education. These are the types of situations that colleges and universities are using data to try and manage.
The opioid epidemic that is sweeping the country is one of the most commonly discussed health crises in America. But what is baffling is how society simply cannot keep up with the death toll for which these powerful synthetic drugs are responsible.
According to the National Institute on Drug Abuse, in 2017, opiates were responsible for the deaths of over 47,500 Americans. To put these powerful drugs into perspective, heroin and prescription opiates are the lesser of the evils, as fentanyl can be up to “100 times more potent than morphine.” Of course, when the victims of this epidemic are already heavily addicted as a result of their dependency on physician-prescribed pills, the progression of the disease leads them to believe that fentanyl – the most powerful killer – is the most desired to obtain.
There are many factors that go into how an instructor uses data at the higher education level. It could simply be that faculty member’s comfort level with collecting and using data to inform decision-making. It could be the way information is gathered – whether it’s at the administrative level and even makes its way to the instructor. It could be that the data is gathered but never used to determine next steps.
Whatever the situation, it is a fact that not everyone is using data to make decisions that can benefit the students in their classrooms. Here are some ways instructors in higher education might be able to better use the data available to them – or even get that data in the first place – to improve student outcomes.