Debate contribution: Programme for Government: Health Waiting Lists

Debate contribution by Mrs Emma Little-Pengelly on .

MLA
Mrs Emma Little-Pengelly
Party at the time
Democratic Unionist Party
Date
2 March 2026
Type
Debate contribution (made as a minister)
Business
Oral Answers to Questions
Heading
Programme for Government: Health Waiting Lists
Assembly identifier
Official Report component 5432696

Read the official Assembly record

Text

Supported by a £61 million investment from the transformation fund, the delivery unit has been overseeing the implementation of a transformation project to expand multidisciplinary teams in GP practices. That is a core element of the wider health reforms aimed at strengthening early intervention and prevention, shifting care closer to home and supporting the development of a neighbourhood model of care to take the pressure off our overstretched hospitals. The unit has also had a key role in identifying new transformation opportunities across the public sector with the potential to improve population health and well-being. In addition, it has identified a range of best practice measures to address hospital waiting lists and has explored the implementation of those initiatives with health officials and delivery partners. They include the enhanced triaging of waiting lists; the potential for AI and digital solutions to improve efficiency; and the role of behavioural science in supporting much-needed reform.

153 words. Text as published by the Northern Ireland Assembly.

Assessment

Not flagged

Jev’s structured answers met the documented threshold for “not flagged”.

  • Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.02 (flagging needs at least 0.70; at or below 0.30 is not flagged).
  • None of the five culture-war criteria was met (each was below 0.60).
  • Assessed as legitimate policy scrutiny (0.66).
  • No identity-based framing was identified (1.00).
  • The overall probability was at or below the not-flagging threshold.

This is an AI-generated assessment of the text, made against published criteria. It is not a finding of fact about the MLA or their intentions. The Assembly record itself is the fact.

Jev’s structured answers

Probability that each statement is true of this text (0 = no, 1 = yes). A criterion counts as met at 0.60 or above.
QuestionProbabilityMet?
Identity framing0.01No
Sectarian or communal antagonism0.01No
Cultural grievance politics0.01No
Dog-whistle messaging0.01No
Controversy escalation0.02No
Legitimate policy scrutiny0.66Yes
Overall judgement0.02At or below not-flagging threshold
Context and attribution (stance)
OptionProbability
No identity-based framing (chosen)1.00
Reports or questions it0.00
Criticises or condemns it0.00
Adopts it0.00
Subject area (top five)
SubjectProbability
No identity-related subject1.00
Flags, emblems, symbols, names and memorials0.00
Parades, bonfires and commemorations0.00
Irish language, Ulster-Scots and language policy0.00
Sport (including the GAA), the arts and cultural bodies0.00

Assessed 21 October 2026 at 14:57 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

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