Assistive Technology and Risk: Using Digital Tools Without Increasing Restriction

Assistive technology is often introduced in response to risk, but without careful governance it can unintentionally increase restriction and reduce autonomy. This article sits within Technology, Assistive Tools & Digital Enablement and links to Service Models & Care Pathways because risk management must be designed into the service model rather than driven by fear or convenience.

When technology becomes restrictive by default

Providers frequently introduce monitoring, alerts or surveillance tools following incidents. While understandable, this can lead to technology becoming a permanent control measure rather than a temporary support.

Warning signs of restrictive drift include:

• Technology introduced during crisis and never reviewed
• Monitoring tools used continuously “just in case”
• Staff relying on alerts rather than engagement
• People not fully understanding or consenting to ongoing use
• No clear exit or step-down plan

Applying least restrictive principles to digital tools

Digital enablement should follow the same principles as any other intervention. Providers should ask:

• What risk is this tool addressing?
• Is it the least restrictive way to manage that risk?
• What alternatives were considered?
• How will we know when it is no longer needed?

These questions should be documented and revisited regularly.

Operational example 1: Night-time monitoring reviewed and reduced

Context: A sensor system is installed to alert staff to night-time movement following falls.

Support approach: The provider treats the system as a temporary risk measure.

Day-to-day delivery detail: Staff log alerts and outcomes nightly. Physiotherapy input is sought. As strength and balance improve, alert thresholds are adjusted and eventually removed. The person is involved in each review.

How effectiveness is evidenced: Data shows a reduction in alerts and improved sleep quality. Reviews document clear rationale for reduction and removal.

Consent, transparency and trust

People supported should understand what technology does, what data it collects and who sees it. Where capacity is lacking, best interests processes must explicitly address digital tools, not treat them as neutral.

Operational example 2: Transparent use of environmental controls

Context: Smart door sensors are proposed due to safety concerns.

Support approach: The provider prioritises transparency and choice.

Day-to-day delivery detail: The person is shown how the system works and when alerts are triggered. Alternative safety measures are trialled. Consent is recorded and reviewed quarterly.

How effectiveness is evidenced: Records show informed agreement, reduced anxiety and no escalation to more restrictive measures.

Governance: keeping digital risk proportionate

Strong providers build digital tools into existing governance systems rather than treating them as separate. This includes:

• Risk assessments that reference technology explicitly
• Restrictive practice registers including digital measures
• Regular audits of usage and outcomes
• Clear escalation routes when concerns arise

Operational example 3: Audit-driven improvement

Context: Managers suspect over-reliance on monitoring alerts.

Support approach: A targeted audit is completed.

Day-to-day delivery detail: Alert data is analysed alongside incident reports and support notes. Findings are discussed in team meetings, leading to changes in staff practice and reduced alert dependence.

How effectiveness is evidenced: Audit results show fewer alerts, improved engagement and clearer evidence of least restrictive practice.

Commissioner expectation

Commissioner expectation: Digital tools are used proportionately, reviewed regularly and clearly linked to outcomes, with evidence that restrictions are reduced rather than normalised.

Regulator / Inspector expectation

Regulator / Inspector expectation (e.g. CQC): Technology is used lawfully, transparently and in the person’s best interests, with clear evidence of consent, review and least restrictive practice.

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