A doctor’s daily workload has changed completely in the last 20 years. The digitization of patient data has shifted the majority of a doctor’s time away from patients and towards EHRs. In fact, a recent study in Family Medicine concluded that providers are spending, on average, 18.6 minutes in front of an EHR and only 16.5 minutes with a patient during each visit.
Tweet: Medical schools in the digital age: The teachingEHR
For physicians to be most effective and efficient with their time, they now need to be technically capable along with being clinically capable. This change in workplace norms must be reflected in the education of those entering the healthcare field. So how are medical schools preparing new doctors for the technology onslaught? Let’s take a look. (more…)
Dimensional Insight has a long history of helping healthcare organizations tie together their data and make better decisions that improve outcomes. At the heart of how we provide such meaningful results are the people who work here and apply their real-world experiences toward helping our customers gain the right insights.
Tweet: Meet the Dimensional Insight team: Marissa Leone
To that end, we would like to introduce you to Marissa Leone, one of our newest faces in the Dimensional Insight family. She is one of our healthcare consultants from our headquarters in Burlington, Massachusetts. Learn about Marissa’s experiences and her insight on what hospitals need from business intelligence solutions. (more…)
When you’re buying healthcare analytics, one of the first steps is to go out and research potential vendors and products, and learn as much as you can about each one. Unfortunately, though, during this process, you often come across a lot of information that’s presented as fact, but isn’t necessarily so. It’s hard to become the superhero of your analytics project when you have to wade through so much misinformation.
Tweet: Healthcare analytics myths busted. Why the analytics in your EHR might not be the best option.
In this blog series, we are taking some of the biggest myths about healthcare analytics and debunking them. In post #1, we talked about how you really don’t need a data warehouse to do analytics correctly. In this post, we’ll tackle myth #2. Don your cape and superhero mask and let’s take a look… (more…)
Now that the New Year is upon us, there is a lot of “looking forward” and prognosticating about what will happen (or not happen) in 2016. In the healthcare industry, 2016 will certainly be a dynamic year that will bring lots of new challenges and opportunities.
Tweet: 3 healthcare analytics predictions for 2016
Given continued innovation and increased regulation, providers are constantly adapting to the rapidly evolving environment. What is in store for the healthcare industry in the New Year? Though it is impossible to predict every challenge the industry will face, I can forecast three trends that will take healthcare by storm in 2016, which will all be enabled by analytics. (more…)
It’s time to bid adieu to 2014 and ring in 2015. But before we do so, it’s time for a quick retrospective on the past year on our blog.
As manager of the Dimensional Insight blog, I keep close tabs on our site stats and our most popular posts. Which posts resonated most with readers in 2014? Let’s crack open the vault to find out…
Tweet: Dimensional Insight’s top 5 blog posts of 2014
Without further ado, here are our Top 5 blog posts for the year: (more…)
In previous blog posts, we’ve discussed how to chart a roadmap for business intelligence (BI) success in healthcare, and we’ve examined how focusing on quick wins can help you achieve ROI from your BI implementation in 12 months or less. In this blog post, we’re going to look at the outcomes that Dimensional Insight’s customer, Henry Mayo Newhall Memorial Hospital, realized from this approach and the lessons you can apply to future BI projects.
As we previously discussed, Henry Mayo’s objective was to improve patient flow throughout the hospital. In order to keep the project focused and achievable, Henry Mayo first concentrated on the emergency department (ED). At the outset of the project, the hospital paired data experts in its decision support team with subject matter experts in its ED. By creating these teams that understood both the technology and the workflow, Henry Mayo could: 1) better understand which metrics were important, and 2) track those metrics and use that information to identify and reduce bottlenecks during the triage process. This directly led to the impressive results that Henry Mayo realized from the project. (more…)
The evolving healthcare landscape has created a national conversation around the increasing importance of data and analytics. Health systems have become increasingly focused on leveraging their clinical, financial and operational information to balance goals for quality care and patient engagement with those of cost containment and financial outcomes.
Business intelligence (BI) and analytics capabilities are important aspects of this conversation. They represent technical capabilities that can help in achieving these objectives. However, the technology by itself is not a magic bullet. Failed BI and data warehousing initiatives – which, historically have been all too common – lead to wasted resources, time and user communities and leadership teams distrustful of further efforts.
Tweet: Charting a roadmap for BI success in healthcare
So how do you ensure the success of your BI initiatives – particularly the all-important initial projects? Our experience suggests that the answer lies in a balanced approach that considers people, process and technology. (more…)
Today, we announced a significant agreement with Epic, a powerhouse in the Electronic Medical Records (EMR) market. The agreement provides for enhanced integration and support between the Diver Platform™ (Diver), our end-to-end business intelligence (BI) platform, and Epic’s EMR products.
Here are three reasons why this agreement is important to current Epic customers and to healthcare provider organizations moving to Epic: (more…)