Why Customisation is Key to Adoption

One of the biggest reasons AI solutions fail in adult social care is because they are not built with caregivers in mind. Technology that is too generic, rigid, or difficult to use ultimately gets abandoned.

For AI to truly benefit care providers, it must be customisable, easy to integrate, and designed around real-world care needs.

The Importance of Customisation

1. Seamless Integration into Existing Workflows

Care providers already have established processes for monitoring residents, administering medication, and managing emergencies. If new technology disrupts these processes or requires extensive training, staff are unlikely to use it effectively.

MiiHealth is designed to fit into existing care models without requiring major workflow changes. The system adapts to the unique needs of each provider, ensuring a smooth transition.

2. Co-Design with Caregivers

A common mistake in healthcare technology is developing solutions for caregivers without involving them in the process. MiiHealth works directly with social care professionals to ensure the platform:

• Uses intuitive, simple interfaces that don’t require extensive training.

• Automates repetitive tasks without removing caregiver autonomy.

• Provides real-time alerts rather than overwhelming caregivers with unnecessary notifications.

3. Adaptability Across Different Care Settings

Care needs vary widely between home care, assisted living, and residential facilities. A rigid AI solution cannot meet the diverse challenges faced across these environments.

MiiHealth adapts to different settings by offering:

• Flexible monitoring options for different levels of care.

• Customised alerts and reports tailored to individual care plans.

• Integration with existing telehealth and case management systems.

Why This Approach Works

By focusing on customisation, ease of use, and practical insights, MiiHealth ensures AI adoption in social care is effective rather than disruptive. Instead of adding another layer of complexity, it simplifies care delivery and enhances decision-making.

This is the future of AI in adult social care—not just as a reporting tool, but as an intelligent system that supports caregivers in providing proactive, high-quality care.