Evidence map›Paper›PMID 38758655›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer.

Fabiana C Dos Santos, Lisa G Johnson, Olatunde O Madandola, Karen J B Priola, Yingwei Yao, Tamara G R Macieira, Gail M Keenan

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Large Language Models in Lung Cancer: Systematic Review.Journal of medical Internet research · 2025
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  13. Large language models in biomedicine and health: current research landscape and future directions.Journal of the American Medical Informatics Association : JAMIA · 2024
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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.

Fabiana C Dos SantosSchool of Nursing, Columbia University, New York, NY 10032, United States.ORCID 0000-0001-9780-4336
Lisa G JohnsonDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, FL 32610, United States.
Olatunde O MadandolaDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, FL 32610, United States.ORCID 0000-0002-8849-8434
Karen J B PriolaDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, FL 32610, United States.
Yingwei YaoDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL 32610, United States.
Tamara G R MacieiraDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, FL 32610, United States.ORCID 0000-0003-1100-3760
Gail M KeenanDepartment of Family, Community, and Health Systems Science, College of Nursing, University of Florida, Gainesville, FL 32610, United States.

Funding

Harmonizing and Integrating Nursing Data into Multidisciplinary Datasets to Evaluate Hospital Care and Readmissions of Older Adults with Alzheimer's Disease-Related DementiasR33AG072265 · NIA · UNIVERSITY OF FLORIDA · PI KEENAN, GAIL M, MACIEIRA, TAMARA G.R. · 2023 to 2025
$2.1M
Tailored Clinical Decision Support Formats Designed to Improve Palliative Care for Cancer and Chronically Ill Patients: A Pre-Clinical TestR01NR018416 · NINR · UNIVERSITY OF FLORIDA · PI DUNN LOPEZ, KAREN, KEENAN, GAIL M · 2019 to 2021
$1.7M
Harmonizing and Integrating Nursing Data into Multidisciplinary Datasets to Evaluate Hospital Care and Readmissions of Older Adults with Alzheimer’s Disease and Alzheimer’s Disease-Related DementiasR21AG072265 · NIA · UNIVERSITY OF FLORIDA · PI KEENAN, GAIL M, MACIEIRA, TAMARA G.R. · 2021 to 2022
$417k
NIA NIH HHS R21 AG072265NIA NIH HHS R21AG072265NIA NIH HHS R21AG072265/R33AG072265NIA NIH HHS R33 AG072265NIH HHSNINR NIH HHS 1R01NR018416-01NINR NIH HHS R01 NR018416
6 · The paper itself

Abstract

objectiveOur article demonstrates the effectiveness of using a validated framework to create a ChatGPT prompt that generates valid nursing care plan suggestions for one hypothetical older patient with lung cancer.

methodThis study describes the methodology for creating ChatGPT prompts that generate consistent care plan suggestions and its application for a lung cancer case scenario. After entering a nursing assessment of the patient's condition into ChatGPT, we asked it to generate care plan suggestions. Subsequently, we assessed the quality of the care plans produced by ChatGPT.

resultsWhile not all the suggested care plan terms (11 out of 16) utilized standardized nursing terminology, the ChatGPT-generated care plan closely matched the gold standard in scope and nature, correctly prioritizing oxygenation and ventilation needs.

conclusionUsing a validated framework prompt to generate nursing care plan suggestions with ChatGPT demonstrates its potential value as a decision support tool for optimizing cancer care documentation.

Indexed as

Lung NeoplasmsPatient Care PlanningAgedArtificial IntelligenceDecision Support Systems, ClinicalDocumentationHumansStandardized Nursing Terminologyartificial intelligencecancerlarge language modelnursingstandardized nursing terminologies

Identifiers

PMID38758655
PMCPMC11339505

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.