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Critical Governance, Ethical, and Regulatory Considerations in Deploying AI Solutions and How to Address Them
04.01.26
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385+ revenue cycle management companies to know | 2026
03.31.26
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AI Can Quickly Become a Confident Liar. Dimensional Insight Explains How to Prevent It.
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02.17.26
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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
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New Episode of the Knowledge Forum!
- DivePort Page Types
- Crosstab: Brand Analysis in NAVO
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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
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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
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12.01.25
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Leveraging Advanced Analytics and AI Tools to Derive Actionable Insights from Complex Healthcare Datasets
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Using Data to Improve Perceptions of Higher Education
Colleges and universities use vast amounts of data to make sure they are operating at peak efficiency. There are numbers focused on maintaining a steady flow of applicants and keeping admissions up. Once students are in, there are numbers that focus on retention and the data that is important to keeping those students on campus. That just scratches the surface of the many different aspects of institutions where data plays a role.
A new study suggests that using the data within your institution is just one step. Another area that might make a difference is how the data is shared more widely. Let’s take a look at the report and how the way you present the data to others can sometimes be just as powerful as using the data on your own.
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.