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Data & AI for disability care

In disability care, a great deal is recorded every day, but little of that information reaches the people providing care.

Care plans, daily reports, incident reports, rotas and claims are spread across the electronic client record (ECD), the rostering system and separate files. Support workers spend a large part of their shifts writing reports, while a facility may only discover afterwards that staffing did not match clients’ needs. Data and AI bring this information together and put it back in the hands of the teams doing the work.

Challenges,

Disability care providers work across many facilities, with changing teams and clients who often receive care for years. Staff are scarce and the administrative burden is high. At the same time, they handle health information about people who may struggle to express themselves: sensitive personal data that requires particular care. This calls for reliable insights, clear rules about who can see what, and tools that support support workers rather than replace them.

How we support you,

We bring together data from the ECD, rotas and claims in a single data foundation, then build reports on staffing, coverage at each facility and the level of care clients need. We also help support workers and behavioural specialists find the right information more quickly in care plans, protocols and reports, and save time on record-keeping. These are just a few examples of what is possible. The best solution always depends on the challenge and the organisation.

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DSL in numbers,

40

Data experts

10+

Years of experience

200+

Projects completed

8,7

Client satisfaction

Get in touch with our experts,

Want to know what we can do for your organisation?

Younes Seghrouchni

Younes Seghrouchni

Managing Consultant GenAI & Data Strategy
Carmen Wolvius

Carmen Wolvius

Managing Consultant Data Science & AI
Stef Stoelwinder

Stef Stoelwinder

Business Development

Where we do that,

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Latest blog posts,

Read our latest insights here.

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The organisations that do this,

Agrocare
Athlon
DPG Media
Rijkswaterstaat
Brocacef
WUA
Fokker
The Cirqle
Zorginstituut Nederland
AWVN
Independer
Gemeente Hollands Kroon

Frequently asked questions,

AI can summarise and combine daily reports, incident reports and rota data, helping teams see sooner what is happening with a client and where staffing does not match care needs. That leaves support workers with more time for the people they care for.

Start with a question that keeps coming up, such as how much time support workers spend writing reports or how staffing at each facility compares with clients’ care needs. Existing data can quickly show what a dashboard or model adds to the current assessment.

More than you might think: care plans and daily reports in the ECD, incident reports, rotas and hours worked, and claims. The work lies in linking these sources by facility and client group so they provide one reliable picture.

We determine which data is genuinely needed for each question, use aggregated or pseudonymised data where possible, and manage access by role. A model provides an alert or a summary; the support worker or behavioural specialist decides what to do with it.

By showing results in the systems support workers and planners already use, involving teams from the outset in deciding what is useful, and agreeing who will maintain the application when working practices or client groups change. For organisations that also provide mental health care, we have written a separate page about <a class="af-inlink-20261111" href="/en/industries/ggz/">data and AI in mental health care</a>.