Question 1

Who should run this audit?

Accepted Answer

Named doctors, named nurses, safeguarding leads, junior doctors, IMTs, registrars, QI fellows, ward nurses, midwives, mental health nurses and social workers embedded in health teams can all run this audit. Include a named project lead, a safeguarding consultant / named professional sponsor, and clinical area leads where possible.

Question 2

What permissions do I need?

Accepted Answer

Most trusts treat this as clinical audit / service evaluation and do not require ethics approval, but you must register the project with your local safeguarding committee and clinical audit / governance team before starting. Use only pseudonymised identifiers — do not enter NHS numbers, hospital numbers, names, dates of birth or addresses.

Question 3

How do I sample?

Accepted Answer

Use consecutive safeguarding concerns raised during a defined audit window (e.g. one to four weeks depending on activity). A sample of 30–50 per clinical area gives a reasonable point estimate; 100+ across the trust supports comparative analysis and clinical-area-level breakdowns.

Question 4

What does the tool measure?

Accepted Answer

Whether safeguarding concerns for children and adults are identified, documented within the locally agreed timeframe, escalated to the named safeguarding professional, appropriately referred to statutory partners, considered under the Mental Capacity Act where relevant, discussed in MDT and closed out with a documented outcome.

Question 5

What happens after data collection?

Accepted Answer

The dashboard updates in real time. Use the Findings tab to interpret results, the Improvement tab to plan actions and PDSA cycles, and the Export centre to generate editable Word, PowerPoint, Excel and ARCP evidence outputs.

Question 6

Do I need to sign in to see the tool?

Accepted Answer

No. Authentication is handled at the main Lazomis QI website. Inside the tool you will already be in your authenticated workspace, or in demo mode with clearly labelled sample data.