Measuring the Triple Aim: A Call for Action
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Integration of AI into the Aspirational cluster will move us closer toward realizing the goals of the Institute for Health Care Improvement's Triple Aim initiative.
“We believe that the integration of AI into this cluster will move us closer toward realizing the goals of the Institute for Health Care Improvement’s Triple Aim initiative, which focuses on the experience of care, population health, and cost-effectiveness [34].”
From Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence (2023) · cites this paper as [34]
The citation lists haven’t been fetched yet
References 3 · Cited by 33
- Authors
- Stiefel, M., & Nolan, K.
- Affiliations
- Kaiser Permanente (US)
- Associates in Process Improvement
- Corresponding author
- Stiefel, Matthew
- ORCID
- Stiefel, Matthew
- Venue
- Population Health Management
- Publisher
- SAGE Publications
- Published
- 2013-08
- Volume
- 16
- Issue
- 4
- Pages
- 219-220
- ISSN
- 1942-7891 (ISSN-L)
- 1942-7905
- OpenAlex
- W2157233157
- Cited by
- 33
- References
- 3
- Citations by year
- 2026: 3 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 6 · 2017: 4 · 2016: 3 · 2015: 2
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Population Health Management (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Primary Care and Health Outcomes
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
- Keywords
- Triple Aim, quality measurement, quality of care, patient experience, health care costs
- MeSH terms
- Health Priorities, Humans, Quality Assurance, Health Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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