Tieto Caretech
Höör Municipality uses Lifecare AI Documentation Support on mobile to make care documentation simpler, clearer and more consistent.

It has been very positive that we are getting more and better documentation

Home care is fast-paced, and a working day consists of many visits in clients’ homes. Documentation still needs to be accurate and clear. Previously, staff wrote directly on the phone’s small keyboard, made notes on paper to enter into the system later, or used a computer when they returned to the office.
This created a practical challenge. Staff needed to document their work without losing focus on the person receiving care or having to remember details from several visits. Höör therefore saw a need for support that reduces administration and makes it easier to be present in each interaction.
Höör Municipality uses Lifecare AI Documentation Support in both Lifecare Provider, its care documentation system, and Lifecare Mobile Care, the mobile app used by home care staff. The add-on provides AI support directly on mobile. After a visit, care staff can dictate a record entry instead of typing it manually. Speech is converted into text, and the AI support helps with the heading, language, structure and clarity.
The AI also provides feedback on the quality of the documentation and can suggest relevant next steps after sign-off, such as creating a referral for care. The original text remains available, and the user always reviews, edits and signs the care record themselves.
The feature is integrated into Lifecare and linked to the correct person and access permissions. Transcription and text processing take place after the recording, not in real time. The AI support is an aid, not a decision-support tool.
Care documentation data is stored permanently in Lifecare. Audio and text used for temporary processing are automatically deleted afterwards, and the AI feature is not trained on customer data.
Lifecare AI Documentation Support helps make documentation easier in everyday home care, while supporting more consistent quality and keeping staff in control.
Speech-to-text makes it easier to document after a visit without typing on a small phone keyboard.
The AI support helps with language, structure and phrasing, making the documentation easier for the next person to follow.
Employees receive immediate feedback and always retain responsibility for reviewing and signing the text.
In Höör, the greatest benefit is described as higher-quality documentation. Speech-to-text makes it easier to capture what has happened, including for employees who are unsure how to phrase record entries. When follow-up work becomes simpler, staff are also better able to stay present in each interaction and focus on the individual.
We should not squeeze in two extra visits just because we save time. We want to use that time to improve the quality of care for residents.
The pilot started in April 2026 and included the entire home care service, around 80 employees. Höör had already had positive experiences with AI Documentation Support in the provider module and therefore chose to test mobile use across the organisation, rolling it out in stages to groups over two-week periods.
The municipality has placed great importance on information and dialogue. At workplace meetings, employees learn how the support works, how AI is used in the solution and that responsibility always remains with the person who writes and signs the documentation.
The mobile workflow is particularly useful when staff make between 8 and 16 visits during a shift. When conditions are suitable, they can dictate the documentation after a visit, for example in the car before the next service. This is never done while driving and always in a place where confidentiality can be maintained.
For Höör, mobile use is also about making better use of time. When documentation can be completed closer to the visit, staff do not need to remember details or save notes for later. The time saved is not primarily intended for more visits, but for greater presence, support and quality for residents.
The municipality also sees a learning effect. Feedback on language, structure and content can help employees gradually improve their care documentation. Höör wants to continue developing the use of the support feature across health and social care and monitor its effect on quality.
For municipalities looking to strengthen home care documentation, Höör’s example shows the value of combining mobile access, speech-to-text and feedback in the same workflow, while keeping professional responsibility at the user’s end.