Healthcare interoperability initiatives have been going on for quite some time now, with varying degrees of success. While some interoperability efforts have been successful and are expanding reach, others have shut down completely.
So what is the state of healthcare interoperability in 2019? New England HIMSS examined this topic in its annual HIE Conference – a day devoted to exploring some of the issues around interoperability and health exchanges. Let’s examine some of the takeaways from the event. (more…)
Healthcare organizations know there’s value in data and value in analyzing it. But many times, they don’t know how to practically implement analytics in their organizations to make real change.
Here’s proof: while two-thirds of organizations have an executive dashboard to support strategic decision-making, only one-third of those that have a dashboard use it on a daily basis to make decisions. That means that in aggregate, less than 1 in 4 healthcare organizations leverages its data at an executive level daily.
So how do you move from theory to practice when it comes to analytics? It can be a journey, so it’s important to take it one step at a time. Here are 3 projects that delivered healthcare analytics ROI that you can emulate at your organization. (more…)
Around 2004, the term “Web 2.0” began to take off as a way of describing a foundational shift in the way that users interacted with the Internet. Web 1.0 describes the static interface of the 1990s with its lack of interoperability and sites mostly connected by hyperlinks. This was turned on its head with the rise of sites that were interoperable, easy-to-use, and promoted user content. This transformation, in conjunction with hardware changes like 2005’s iPhone, stimulated the growth of social media sites and apps. (more…)
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.
So you have a lot of data. And you’ve heard a lot about the importance of being a “data-driven organization.” But your company just can’t seem to connect the dots between the data at hand and making better decisions.
I wrote before about 4 best practices to creating a data-driven culture. But what if your organization doesn’t embrace any of the practices I discussed? Don’t worry – you can become more data-driven. Here are 5 things to focus on to improve your success with gaining insights through data. (more…)
Big data has already become a focal point for professionals in a wide variety of industries. One place where it promises to make a big impact is in healthcare.
Big data and analytics are becoming critical factors in everything from clinical trials to everyday tasks for professionals in the healthcare industry. Let’s examine.
The process of implementing a data analytics solution into an organization can be time-consuming and costly. Once an analytics platform is in place, employees must learn to use the technology. However, it seems the largest stumbling block in the data integration process is not so easily defined.
A surprising development arose from the 2019 Big Data and AI Executive Survey conducted by NewVantage Partners. While many organizations are increasing their investments in analytics, there are many stumbling blocks. And the biggest challenge to analytics success: people.
According to an Ernst & Young survey, more than 90% of healthcare executives were planning to undertake at least one technical adoption project in 2018, with the majority of initiatives directly related to making better use of data. As a result, providers will be exposed to a number of different sales strategies — and they will need to develop the business savvy to choose vendor partnerships that will lead to the best possible outcome for their organization.
Choosing a healthcare analytics tool is a major decision with long-term implications for the success of any provider group. Every health IT selection process must be considered as one part of an overall business strategy that combines input from clinical, financial, executive, and administrative stakeholders. What are the factors that providers need to consider as they evaluate software vendors? Let’s take a look.