The CREATE TRUST Communication Framework for Patient Messaging Services.
Abstract
This Viewpoint proposes a messaging framework called CREATE TRUST to improve written communication with patients.
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Allen et al. identified personalization, perceived empathy, and factuality as factors for evaluating patient-facing systems.
“To evaluate patient-facing systems, Allen et al. (2024) identified several factors, including personalization, perceived empathy (Ayers et al., 2023a), and factuality.”
From MedScore: Generalizable Factuality Evaluation of Open-ended Long-form Medical Answers by Domain-adapted Claim Decomposition and Verification (2026) · cites this paper as Allen et al. (2024)
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Access to healthy ınformatıon: the ınteractıon of medıa lıteracy and health lıteracy
Mutlu, H., Bozkurt, G., Öngel, G., & Gümüşboğa, Y. (2025) · BMC Public Health · doi:10.1186/s12889-025-24022-2 · Cited by 8 · see citing works
Huang, H., DeLucia, A., Tiyyala, V. M., & Dredze, M. (2026) · Findings of the Association for Computational Linguistics: ACL 2026 · doi:10.18653/v1/2026.findings-acl.693 · Cited by 2 · see citing works
“However, evaluating open-ended medical tasks requires a more sophisticated approach because there is no gold answer or gold reference document that can be used for metrics calculation.”
- Authors
- Allen, M. R., Schillinger, D., & Ayers, J. W.
- Affiliations
- University of California San Diego (US)
- San Francisco General Hospital (US)
- Venue
- JAMA Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2024-09-01
- Volume
- 184
- Issue
- 9
- Pages
- 999
- ISSN
- 2168-6106 (ISSN-L)
- OpenAlex
- W4401076242
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- patient messaging, patient-provider communication, communication framework, patient trust
- MeSH terms
- Communication, Humans, Physician-Patient Relations, Trust, Text Messaging
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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.
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