Survey Says: EHR Analytics Users Challenged by Slow Reporting and Lack of Advanced Analytics

Over the last several years, many EHR vendors have rolled out analytics components. What we had anecdotally heard from hospitals and health systems was that these components were lacking in their robustness and ability to provide an executive-level look at data touching all areas of the organization. Was that actually the case? We decided to survey hospitals and health systems to see if this assertion was backed by data.

In Q1 of 2020, Dimensional Insight sponsored a survey by Definitive Healthcare in which it asked 108 healthcare leaders about their experience with EHR analytics. What the data shows is that users of EHR analytics are less satisfied with their analytics solution than with in-house solutions or analytics-specific platforms, and that they face some significant challenges with the software. Here’s a closer look at some of the key data points.


The Virtually Unlimited Possibilities of VR in Healthcare

When people think of applications for virtual reality, video games are usually the first thing that come to mind. While VR gaming may be the most publicized and well-known avenue for this emerging technology, its amazing potential for improving healthcare should not be overlooked. The ability to transport users into immersive virtual worlds can be extremely beneficial for both doctors and the patients they serve.

The endless possibilities of VR are already beginning to attract attention. Currently, the market for virtual and augmented reality tech is valued at over $900 million, a number which is expected to triple in the next three years. (more…)

Physician Burnout: Using Data to Find Possible Causes and Solutions

When we think of the most prestigious careers in America, ‘doctor’ is usually one that ranks near the top of the list. It is surprising, then, that physicians across the country are facing unprecedented levels of burnout, depression, and even suicide. Taking care of at-risk patients is naturally stressful work, but if doctors are too stressed, they are not able to provide the best possible care. That means worse patient outcomes, which can create a feedback loop putting even more pressure on the physicians.

A 2019 survey of over 15,000 physicians by Medscape found that an alarming 44% reported they were feeling symptoms of being burned out. Younger generations of physicians, women, and those who work the most hours seem to be the most affected. What factors are making careers in the medical field so stressful, and what can we do to alleviate that stress? It turns out data can help us figure out these factors and move towards possible solutions. (more…)

Patient Perspectives on Technology in Healthcare

EHRIn recent years, sophisticated technology has had a huge impact on the practices of most healthcare professionals. Gone are the days of racks full of patient record folders in a doctor’s office. Electronic health records (EHRs) have replaced paper records in most medical environments.

However, adaptation and acceptance of technology in healthcare has been fraught with difficulty. Some of this is due to fear of change from older personnel, but most is due to the sheer volume of data collected over years, especially as the systems mature. Let’s examine.


Medical Schools in the Digital Age: The teachingEHR

healthcare. A group mixed race of student medical students communicates in front of a laptop. Discussion of the diagnosis.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…)

Meet the Dimensional Insight Team: Marissa Leone

marissa-leoneDimensional 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…)

Healthcare Analytics Myths: #2 – I Can Use the Analytics in My EHR

analytics in my ehrWhen 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…)

3 Healthcare Analytics Predictions for 2016

healthcare analytics predictionsNow 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…)

Top 5 Blog Posts 2014

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…)

Lessons Learned from a “Quick Win” Approach to BI

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…)