Evidence map›Paper›PMID 42277422›Full record

ReviewNPJ digital medicine2026

Integrating mission-aligned value with cost to assess the economic impact of AI in healthcare.

Arwen Bl Declan, R Andrew Taylor

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Arwen Bl DeclanDepartment of Emergency Medicine, Prisma Health-Upstate, Greenville, SC, USA. Arwen.Declan@prismahealth.org.
R Andrew TaylorDepartment of Emergency Medicine, University of Virginia, Charlottesville, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare organizations must integrate mission-driven values with financial metrics to govern AI systems. We propose the Total Mission Value (TMV) framework, drawing on insights from Balanced Scorecard, Quintuple Aim, and organizational mission priorities. TMV integrates five ethically grounded domains that define TMV in healthcare: Patient Care, Staff Experience, Operations, Economic, and Education and Research. TMV supports aligning AI implementations with healthcare's core purpose while maintaining economic sustainability.

Identifiers

PMID42277422
PMCPMC13601501

What OpenQuestion holds

Textmetadata
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.