What’s New on the Website
Press coverage
Critical Governance, Ethical, and Regulatory Considerations in Deploying AI Solutions and How to Address Them
04.01.26
Press coverage
385+ revenue cycle management companies to know | 2026
03.31.26
Press coverage
AI Can Quickly Become a Confident Liar. Dimensional Insight Explains How to Prevent It.
Click to read the article
02.17.26
Press coverage
20 Marketing Challenges Leaders Are Facing This Year—And How To Solve Them
New Episode of the Knowledge Forum!
- DivePort: Controlling First-Load Behavior with Defaults
- Squashing vs. Diving: Comparing Spectre Flow and Spectre Dive
Watch new episode →
New Episode of the Knowledge Forum!
- DivePort Page Types
- Crosstab: Brand Analysis in NAVO
Watch new episode →
Press release
Dimensional Insight named a Strong Performer in the 2025 Voice of the Customer for Analytics and BI
Distinction in Gartner Report Is Based on Feedback and Ratings from End-User Professionals
Press release
Dimensional Insight Recognized in KLAS 2025 Consistent High Performers Report
Recognition underscores Dimensional Insight’s long-term commitment to trusted partnerships, measurable outcomes, and customer satisfaction in healthcare analytics
12.05.24
New Episode of the Knowledge Forum!
- Using Program Advisor
Watch new episode →
12.01.25
Press coverage
Leveraging Advanced Analytics and AI Tools to Derive Actionable Insights from Complex Healthcare Datasets
News Archive
2025
2024
2023
2022
2021
2020
We Have Epic. Why Are We Still Arguing About Our Numbers?
Healthcare organizations have invested millions in electronic health record platforms such as Epic, Oracle Health, and MEDITECH. These systems have evolved far beyond clinical documentation, offering reporting tools, analytics applications, data warehouses, and increasingly sophisticated AI capabilities.
As a result, many healthcare leaders assume that implementing an EHR will also solve their analytics challenges. Yet organizations continue to struggle with familiar questions.
- Why does Finance report one length-of-stay number while Operations reports another?
- Why do quality measures change depending on which dashboard someone opens?
- Why do report requests require weeks of validation before leaders trust the results?
At Dimensional Insight, we’ve spent years working with healthcare organizations facing these challenges. What we’ve found is that the problem is rarely a lack of data or reporting tools. More often, organizations are missing the governance needed to create a consistent analytical foundation across the enterprise.
What AI on the Farm Teaches Us About Data-Driven Decision Making
Some of the most successful implementations of artificial intelligence (AI) have been in areas where it is clearly saving people time in tangible ways. One common example is in healthcare, where the technology is able to scan images and identify potential abnormalities more quickly than tired human eyes, helping doctors improve patient care.
Another area where there have been significant time-saving advances is in farming. Data in the agricultural industry is nothing new — but AI tools can help farmers gather new information in new ways. Here’s a look at how some farmers are using AI tools, allowing them to focus some of their energies elsewhere, and what it could mean for farming data.