Evidence map›Paper›PMID 40075189›Full record

ArticleThe International journal of health planning and management2025

Artificial Intelligence in Healthcare: Balancing Technological Innovation With Health and Care Workforce Priorities.

Abi Sriharan, Ellen Kuhlmann, Tiago Correia, Farhang Tahzib, Katarzyna Czabanowska, Marius-Ionuț Ungureanu, Bernadette Nirmal Kumar

Abstract read
In one paragraph

Article in The International journal of health planning and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
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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

7 authors.

Abi SriharanKrembil Centre for Health Management and Leadership, Schulich School of Business, York University, Toronto, Canada.ORCID https://orcid.org/0000-0002-8191-7050
Ellen KuhlmannInstitute for Economics Labour and Culture, Goethe-University Frankfurt, Frankfurt, Germany.ORCID https://orcid.org/0000-0002-7337-114X
Tiago CorreiaWHO Collaborating Center for Health and Care Workforce Policies and Planning, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal.ORCID https://orcid.org/0000-0001-6015-3314
Farhang TahzibPublic Health Ethics Committee, Faculty of Public Health, London, UK.ORCID https://orcid.org/0000-0003-1821-5926
Katarzyna CzabanowskaDepartment of International Health, Care and Public Health Research Institute (CAPHRI), FHML, Maastricht University, Maastricht, the Netherlands.ORCID https://orcid.org/0000-0002-3934-5589
Marius-Ionuț UngureanuWHO Collaborating Center for Health and Care Workforce Policies and Planning, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-8571-7996
Bernadette Nirmal KumarDivision for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0001-7409-4570

Funding

Connaught Fund
6 · The paper itself

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering significant potential to address workforce challenges and improve patient outcomes. This perspective article presents a framework for responsible AI innovation, emphasising ethical governance, responsible leadership and a commitment to human-centred AI. It provides guidance for healthcare organisations to position AI as a strategic enabler, augmenting the health and care workforce and fostering sustainable, patient-centred advancements in healthcare.

Indexed as

Artificial IntelligenceDelivery of Health CareHealth PrioritiesHealth WorkforceInventionsHumansLeadershipAI governanceartificial intelligenceequity in healthcarehealth and care workforcehuman‐centred AIpatient‐centred careresponsible leadership

Identifiers

PMID40075189
PMCPMC12215598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.