Evidence map›Paper›PMID 37658119›Full record

ArticleNPJ digital medicine2023

An example of governance for AI in health services from Aotearoa New Zealand.

R Whittaker, R Dobson, C K Jin, R Style, P Jayathissa, K Hiini, K Ross, K Kawamura, P Muir, Waitematā AI Governance Group

Abstract read
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

R WhittakerTe Whatu Ora Waitematā, Auckland, New Zealand. robyn.whittaker@health.govt.nz.ORCID http://orcid.org/0000-0003-0901-9149
R DobsonTe Whatu Ora Waitematā, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-0122-1000
C K JinTe Whatu Ora Waitematā, Auckland, New Zealand.
R StyleTe Whatu Ora Waitematā, Auckland, New Zealand.
P JayathissaTe Whatu Ora Waitematā, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-3833-1852
K HiiniTe Whatu Ora Waitematā, Auckland, New Zealand.
K RossPrecision Driven Health, Auckland, New Zealand.
K KawamuraTe Whatu Ora Waitematā, Auckland, New Zealand.
P MuirTe Whatu Ora Waitematā, Auckland, New Zealand.
Waitematā AI Governance Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial Intelligence (AI) is undergoing rapid development, meaning that potential risks in application are not able to be fully understood. Multiple international principles and guidance documents have been published to guide the implementation of AI tools in various industries, including healthcare practice. In Aotearoa New Zealand (NZ) we recognised that the challenge went beyond simply adapting existing risk frameworks and governance guidance to our specific health service context and population. We also deemed prioritising the voice of Māori (the indigenous people of Aotearoa NZ) a necessary aspect of honouring Te Tiriti (the Treaty of Waitangi), as well as prioritising the needs of healthcare service users and their families. Here we report on the development and establishment of comprehensive and effective governance over the development and implementation of AI tools within a health service in Aotearoa NZ. The implementation of the framework in practice includes testing with real-world proposals and ongoing iteration and refinement of our processes.

Identifiers

PMID37658119
PMCPMC10474148

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.