Healthcare
Demand for care is growing, while there are fewer hands at the bedside and administration takes time you'd rather spend on the patient. Bring your registrations together into one AI-ready data foundation, and room emerges: less duplicate work, sharper choices, and more time for care.
Challenges in healthcare
A lot gets recorded in healthcare, but the data is scattered across the EHR (Electronic Health Record), separate registration systems, planning tools, and spreadsheets. You feel that every day:
- The same data is entered multiple times and reports contradict each other, so no one is sure which figure is actually correct.
- Administration takes time you'd rather spend on the patient.
- Capacity, waiting times, and quality are hard to oversee as long as the underlying data isn't in order.
- It concerns sensitive patient data, so gaining insight from data must never come at the expense of privacy and secure data management.
The challenge, therefore, is not "registering more" but gaining control: an AI-ready data foundation, securely managed, that caregivers and administrators alike can trust.
What we do for healthcare
We bring the data from your source systems together securely into one AI-ready data foundation, with governance and privacy built in from the ground up, and build the layer on top that makes the work easier. This way, your organization shifts from accounting for it afterward to steering proactively
Data-driven work
We start with a clear approach: which challenge do you tackle first, for example registration burden or capacity planning, and what is the route to decisions based on data.
AI-ready data platform
Your registrations from the EHR, planning, and separate systems come together in one up-to-date, well-managed source, with governance and privacy built in from the ground up, certified to ISO 27001.
App development
Custom applications that we can develop quickly and connect to your own processes, for example an app that bundles multiple registrations or a workflow for handover and planning.
AI solutions
Predictive insights that help anticipate, for example demand for care, occupancy, or staff turnover, and support the professional without replacing their judgment.
Ebook: Data-Driven Care
Data-driven working has become indispensable in healthcare. But what exactly does it involve, why should you get started with it, and where do you begin? In our ebook Data-Driven Care, you'll find the answer, including the seven steps of data-driven working in healthcare with real-world examples. In this ebook, you'll discover: what data-driven care actually involves, why data-driven working in healthcare is worthwhile, how to get started in concrete terms, and the 7 steps of data-driven working in healthcare, with examples.
Get started
Want to know what an AI-ready data foundation could mean for your healthcare organization? Request an (online) appointment via the form and brainstorm with one of our experts.
FAQ
Where do you start if you want to work data-driven in healthcare?
With the foundation. First we make sure your data is reliable, secure, and comes from one source, then we build the dashboards, analyses, and apps on top of it. Starting with one concrete question, for example registration burden or capacity planning, works best. Our ebook covers the seven steps in detail.
How does data help with the administration burden?
Much of that burden comes from duplicate and fragmented registrations. If data comes from one source and your systems align, the same information no longer needs to be entered multiple times. That gives time back to care.
What about privacy and the security of patient data?
Secure data management is fundamental to us. We carefully set up governance and access, and work from an environment certified to ISO 27001. Gaining insight from data and protecting that data go hand in hand this way.