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How do you ensure that your healthcare institution is successful with business intelligence?

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Data Driven
Gitte Thijssen
23-4-2026
This article is automatically translated using Azure Cognitive Services, if you find mistakes, please get in touch

From data flow to management information: this is how healthcare organizations get a grip on scattered data 

An average healthcare institution works with dozens of systems, each of which keeps track of its own data: from EHRs (electronic patient records) to roster systems and medication modules. The result? Management information that is incorrect, reports that deviate from each other and decisions that come too late. The central question is: how do healthcare organizations create one reliable information base with which doctors, care managers and administrators can better manage quality, safety and efficiency? 

Many data problems arise because teams build their own reports, use different definitions and manage data locally. As a result, a reliable and shared image of the organization is lacking. By organizing data centrally and in a structured way, a solid basis is created for unambiguous reports and better insights. 

Wortell helps healthcare institutions achieve this with a three-part approach: 

1 Bronze: Unlocking data

All relevant healthcare systems are connected to a modern Azure data platform. Data is read directly from EHRs, roster systems, intramural care files, supporting systems such as ONS (a digital healthcare information system) and medical equipment. 

2 Silver: Standardizing Data

In this layer, inconsistencies are removed, missing values are supplemented and the terminology is standardized. Free-text fields from nursing reports can also be enriched with AI models. 

3 Gold: Activate Data

Reliable, verified data forms the basis for dashboards that provide real-time insight into turnaround times, workload, occupancy, waiting times and patient flows. For a care manager, this means: no longer waiting until Monday for a report, but immediately seeing whether tomorrow's occupancy is correct and where bottlenecks are imminent. This allows healthcare providers, quality assurance officers and administrators to make the right decisions at the right time. 

 

This is how it works in practice

  • De Zorgboog centralized communication and information provision via Debble, Wortell's AI-driven intranet . Employees gained faster access to protocols, documentation and process information. An essential condition for operational insight. 

  • Humanitas DMH introduced Microsoft 365 Copilot in phases. Employees spent less time on administration and were able to convert data into usable management information more quickly, without major disruptions in the work process. 

  • Cosis opted for a 'Microsoft unless' strategy and built a uniform data and workplace environment. The result: less fragmentation, more insight into operational workflows and an organization that can respond more quickly to changes in the demand for care. 

By integrating data sources and basing dashboards on reliable data models, healthcare institutions structurally gain better insight into their operational processes. Healthcare institutions that work in this way identify bottlenecks earlier, plan capacity more accurately and improve the quality of care. Not afterwards, but while it is happening.