Using large language model to guide patients to create efficient and comprehensive clinical care message Article Swipe
Siru Liu
,
Aileen P. Wright
,
Allison B. McCoy
,
Sean S Huang
,
Julian Z Genkins
,
Josh F. Peterson
,
Yaa Kumah-Crystal
,
William Martínez
,
Babatunde Carew
,
Dara Mize
,
Bryan D. Steitz
,
Adam Wright
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/jamia/ocae142
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/jamia/ocae142
Objective This study aims to investigate the feasibility of using Large Language Models (LLMs) to engage with patients at the time they are drafting a question to their healthcare providers, and generate pertinent follow-up questions that the patient can answer before sending their message, with the goal of ensuring that their healthcare provider receives all the information they need to safely and accurately answer the patient’s question, eliminating back-and-forth messaging, and the associated delays and frustrations. Methods We collected a dataset of patient messages sent between January 1, 2022 to March 7, 2023 at Vanderbilt University Medical Center. Two internal medicine physicians identified 7 common scenarios. We used 3 LLMs to generate follow-up questions: (1) Comprehensive LLM Artificial Intelligence Responder (CLAIR): a locally fine-tuned LLM, (2) GPT4 with a simple prompt, and (3) GPT4 with a complex prompt. Five physicians rated them with the actual follow-ups written by healthcare providers on clarity, completeness, conciseness, and utility. Results For five scenarios, our CLAIR model had the best performance. The GPT4 model received higher scores for utility and completeness but lower scores for clarity and conciseness. CLAIR generated follow-up questions with similar clarity and conciseness as the actual follow-ups written by healthcare providers, with higher utility than healthcare providers and GPT4, and lower completeness than GPT4, but better than healthcare providers. Conclusion LLMs can generate follow-up patient messages designed to clarify a medical question that compares favorably to those generated by healthcare providers.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/jamia/ocae142
- https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae142/58330181/ocae142.pdf
- OA Status
- hybrid
- Cited By
- 23
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399994866
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4399994866Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/jamia/ocae142Digital Object Identifier
- Title
-
Using large language model to guide patients to create efficient and comprehensive clinical care messageWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-25Full publication date if available
- Authors
-
Siru Liu, Aileen P. Wright, Allison B. McCoy, Sean S Huang, Julian Z Genkins, Josh F. Peterson, Yaa Kumah-Crystal, William Martínez, Babatunde Carew, Dara Mize, Bryan D. Steitz, Adam WrightList of authors in order
- Landing page
-
https://doi.org/10.1093/jamia/ocae142Publisher landing page
- PDF URL
-
https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae142/58330181/ocae142.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae142/58330181/ocae142.pdfDirect OA link when available
- Concepts
-
CLARITY, Health care, Completeness (order theory), Computer science, Medical education, Psychology, Medical emergency, Medicine, Mathematical analysis, Biochemistry, Mathematics, Economics, Economic growth, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 22, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
17Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4399994866 |
|---|---|
| doi | https://doi.org/10.1093/jamia/ocae142 |
| ids.doi | https://doi.org/10.1093/jamia/ocae142 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/38917441 |
| ids.openalex | https://openalex.org/W4399994866 |
| fwci | 42.48661759 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D001185 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Artificial Intelligence |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D010817 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Physician-Patient Relations |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D005240 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Feasibility Studies |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D060145 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Text Messaging |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D006801 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Humans |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D001185 |
| mesh[6].is_major_topic | True |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Artificial Intelligence |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D010817 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Physician-Patient Relations |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D005240 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Feasibility Studies |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D060145 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Text Messaging |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D006801 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Humans |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D001185 |
| mesh[11].is_major_topic | True |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Artificial Intelligence |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D010817 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Physician-Patient Relations |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D005240 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Feasibility Studies |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D060145 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Text Messaging |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D006801 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Humans |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D001185 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Artificial Intelligence |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D010817 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Physician-Patient Relations |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D005240 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Feasibility Studies |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D060145 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Text Messaging |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D006801 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Humans |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D001185 |
| mesh[21].is_major_topic | True |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Artificial Intelligence |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D010817 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Physician-Patient Relations |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D005240 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Feasibility Studies |
| mesh[24].qualifier_ui | |
| mesh[24].descriptor_ui | D060145 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | |
| mesh[24].descriptor_name | Text Messaging |
| type | article |
| title | Using large language model to guide patients to create efficient and comprehensive clinical care message |
| awards[0].id | https://openalex.org/G4778713040 |
| awards[0].funder_id | https://openalex.org/F4320332161 |
| awards[0].display_name | |
| awards[0].funder_award_id | R01LM013995-01 |
| awards[0].funder_display_name | National Institutes of Health |
| awards[1].id | https://openalex.org/G6300453569 |
| awards[1].funder_id | https://openalex.org/F4320332161 |
| awards[1].display_name | |
| awards[1].funder_award_id | R00LM014097-02 |
| awards[1].funder_display_name | National Institutes of Health |
| awards[2].id | https://openalex.org/G2239121966 |
| awards[2].funder_id | https://openalex.org/F4320332161 |
| awards[2].display_name | |
| awards[2].funder_award_id | R01AG062499-01 |
| awards[2].funder_display_name | National Institutes of Health |
| biblio.issue | 8 |
| biblio.volume | 31 |
| biblio.last_page | 1670 |
| biblio.first_page | 1665 |
| topics[0].id | https://openalex.org/T10827 |
| topics[0].field.id | https://openalex.org/fields/36 |
| topics[0].field.display_name | Health Professions |
| topics[0].score | 0.9937999844551086 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3600 |
| topics[0].subfield.display_name | General Health Professions |
| topics[0].display_name | Patient-Provider Communication in Healthcare |
| topics[1].id | https://openalex.org/T10737 |
| topics[1].field.id | https://openalex.org/fields/36 |
| topics[1].field.display_name | Health Professions |
| topics[1].score | 0.9937000274658203 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3600 |
| topics[1].subfield.display_name | General Health Professions |
| topics[1].display_name | Health Literacy and Information Accessibility |
| topics[2].id | https://openalex.org/T11636 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9922000169754028 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2718 |
| topics[2].subfield.display_name | Health Informatics |
| topics[2].display_name | Artificial Intelligence in Healthcare and Education |
| funders[0].id | https://openalex.org/F4320332161 |
| funders[0].ror | https://ror.org/01cwqze88 |
| funders[0].display_name | National Institutes of Health |
| is_xpac | False |
| apc_list.value | 3967 |
| apc_list.currency | USD |
| apc_list.value_usd | 3967 |
| apc_paid.value | 3967 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 3967 |
| concepts[0].id | https://openalex.org/C2777146004 |
| concepts[0].level | 2 |
| concepts[0].score | 0.946223258972168 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q14949826 |
| concepts[0].display_name | CLARITY |
| concepts[1].id | https://openalex.org/C160735492 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7427797317504883 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q31207 |
| concepts[1].display_name | Health care |
| concepts[2].id | https://openalex.org/C17231256 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4957984387874603 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q5156540 |
| concepts[2].display_name | Completeness (order theory) |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.47159823775291443 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C509550671 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3666267395019531 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q126945 |
| concepts[4].display_name | Medical education |
| concepts[5].id | https://openalex.org/C15744967 |
| concepts[5].level | 0 |
| concepts[5].score | 0.3341594338417053 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[5].display_name | Psychology |
| concepts[6].id | https://openalex.org/C545542383 |
| concepts[6].level | 1 |
| concepts[6].score | 0.33221837878227234 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2751242 |
| concepts[6].display_name | Medical emergency |
| concepts[7].id | https://openalex.org/C71924100 |
| concepts[7].level | 0 |
| concepts[7].score | 0.3220764696598053 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[7].display_name | Medicine |
| concepts[8].id | https://openalex.org/C134306372 |
| concepts[8].level | 1 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[8].display_name | Mathematical analysis |
| concepts[9].id | https://openalex.org/C55493867 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[9].display_name | Biochemistry |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C162324750 |
| concepts[11].level | 0 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[11].display_name | Economics |
| concepts[12].id | https://openalex.org/C50522688 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q189833 |
| concepts[12].display_name | Economic growth |
| concepts[13].id | https://openalex.org/C185592680 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[13].display_name | Chemistry |
| keywords[0].id | https://openalex.org/keywords/clarity |
| keywords[0].score | 0.946223258972168 |
| keywords[0].display_name | CLARITY |
| keywords[1].id | https://openalex.org/keywords/health-care |
| keywords[1].score | 0.7427797317504883 |
| keywords[1].display_name | Health care |
| keywords[2].id | https://openalex.org/keywords/completeness |
| keywords[2].score | 0.4957984387874603 |
| keywords[2].display_name | Completeness (order theory) |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.47159823775291443 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/medical-education |
| keywords[4].score | 0.3666267395019531 |
| keywords[4].display_name | Medical education |
| keywords[5].id | https://openalex.org/keywords/psychology |
| keywords[5].score | 0.3341594338417053 |
| keywords[5].display_name | Psychology |
| keywords[6].id | https://openalex.org/keywords/medical-emergency |
| keywords[6].score | 0.33221837878227234 |
| keywords[6].display_name | Medical emergency |
| keywords[7].id | https://openalex.org/keywords/medicine |
| keywords[7].score | 0.3220764696598053 |
| keywords[7].display_name | Medicine |
| language | en |
| locations[0].id | doi:10.1093/jamia/ocae142 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S129839026 |
| locations[0].source.issn | 1067-5027, 1527-974X |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1067-5027 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of the American Medical Informatics Association |
| locations[0].source.host_organization | https://openalex.org/P4310311648 |
| locations[0].source.host_organization_name | Oxford University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| locations[0].source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae142/58330181/ocae142.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of the American Medical Informatics Association |
| locations[0].landing_page_url | https://doi.org/10.1093/jamia/ocae142 |
| locations[1].id | pmid:38917441 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Journal of the American Medical Informatics Association : JAMIA |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/38917441 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:11258400 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | J Am Med Inform Assoc |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11258400 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5091713549 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5003-5354 |
| authorships[0].author.display_name | Siru Liu |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I200719446 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Computer Science, Vanderbilt University , Nashville, TN 37212, United States |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[0].affiliations[1].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[0].institutions[0].id | https://openalex.org/I200719446 |
| authorships[0].institutions[0].ror | https://ror.org/02vm5rt34 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I200719446 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Vanderbilt University |
| authorships[0].institutions[1].id | https://openalex.org/I901861585 |
| authorships[0].institutions[1].ror | https://ror.org/05dq2gs74 |
| authorships[0].institutions[1].type | healthcare |
| authorships[0].institutions[1].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[0].institutions[1].country_code | US |
| authorships[0].institutions[1].display_name | Vanderbilt University Medical Center |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Siru Liu |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States, Department of Computer Science, Vanderbilt University , Nashville, TN 37212, United States |
| authorships[1].author.id | https://openalex.org/A5084108623 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-7550-4284 |
| authorships[1].author.display_name | Aileen P. Wright |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[1].institutions[0].id | https://openalex.org/I901861585 |
| authorships[1].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[1].institutions[0].type | healthcare |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Aileen P Wright |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[2].author.id | https://openalex.org/A5086954690 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-2292-9147 |
| authorships[2].author.display_name | Allison B. McCoy |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[2].institutions[0].id | https://openalex.org/I901861585 |
| authorships[2].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[2].institutions[0].type | healthcare |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Allison B Mccoy |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[3].author.id | https://openalex.org/A5084194339 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Sean S Huang |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[3].affiliations[1].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[3].institutions[0].id | https://openalex.org/I901861585 |
| authorships[3].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[3].institutions[0].type | healthcare |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Sean S Huang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States, Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[4].author.id | https://openalex.org/A5061326990 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Julian Z Genkins |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[4].affiliations[1].raw_affiliation_string | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[4].institutions[0].id | https://openalex.org/I901861585 |
| authorships[4].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Julian Z Genkins |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States, Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[5].author.id | https://openalex.org/A5090773076 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-7553-0749 |
| authorships[5].author.display_name | Josh F. Peterson |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[5].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[5].affiliations[1].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[5].institutions[0].id | https://openalex.org/I901861585 |
| authorships[5].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[5].institutions[0].type | healthcare |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Josh F Peterson |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States, Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[6].author.id | https://openalex.org/A5018279358 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-0854-856X |
| authorships[6].author.display_name | Yaa Kumah-Crystal |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Pediatric Endocrinology, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[6].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[6].affiliations[1].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[6].institutions[0].id | https://openalex.org/I901861585 |
| authorships[6].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Yaa A Kumah-Crystal |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States, Department of Pediatric Endocrinology, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[7].author.id | https://openalex.org/A5062566156 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-3155-4386 |
| authorships[7].author.display_name | William Martínez |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[7].institutions[0].id | https://openalex.org/I901861585 |
| authorships[7].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[7].institutions[0].type | healthcare |
| authorships[7].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | William Martinez |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[8].author.id | https://openalex.org/A5079969497 |
| authorships[8].author.orcid | |
| authorships[8].author.display_name | Babatunde Carew |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[8].affiliations[0].raw_affiliation_string | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[8].institutions[0].id | https://openalex.org/I901861585 |
| authorships[8].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[8].institutions[0].type | healthcare |
| authorships[8].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Babatunde Carew |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[9].author.id | https://openalex.org/A5019058743 |
| authorships[9].author.orcid | |
| authorships[9].author.display_name | Dara Mize |
| authorships[9].countries | US |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[9].affiliations[0].raw_affiliation_string | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[9].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[9].affiliations[1].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[9].institutions[0].id | https://openalex.org/I901861585 |
| authorships[9].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[9].institutions[0].type | healthcare |
| authorships[9].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[9].institutions[0].country_code | US |
| authorships[9].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Dara Mize |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States, Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[10].author.id | https://openalex.org/A5082251203 |
| authorships[10].author.orcid | https://orcid.org/0000-0003-2066-8692 |
| authorships[10].author.display_name | Bryan D. Steitz |
| authorships[10].countries | US |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[10].affiliations[0].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[10].institutions[0].id | https://openalex.org/I901861585 |
| authorships[10].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[10].institutions[0].type | healthcare |
| authorships[10].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[10].institutions[0].country_code | US |
| authorships[10].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Bryan Steitz |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[11].author.id | https://openalex.org/A5004738173 |
| authorships[11].author.orcid | https://orcid.org/0000-0001-6844-145X |
| authorships[11].author.display_name | Adam Wright |
| authorships[11].countries | US |
| authorships[11].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[11].affiliations[0].raw_affiliation_string | Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| authorships[11].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[11].affiliations[1].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States |
| authorships[11].institutions[0].id | https://openalex.org/I901861585 |
| authorships[11].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[11].institutions[0].type | healthcare |
| authorships[11].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[11].institutions[0].country_code | US |
| authorships[11].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[11].author_position | last |
| authorships[11].raw_author_name | Adam Wright |
| authorships[11].is_corresponding | False |
| authorships[11].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States, Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37232, United States |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae142/58330181/ocae142.pdf |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Using large language model to guide patients to create efficient and comprehensive clinical care message |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10827 |
| primary_topic.field.id | https://openalex.org/fields/36 |
| primary_topic.field.display_name | Health Professions |
| primary_topic.score | 0.9937999844551086 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3600 |
| primary_topic.subfield.display_name | General Health Professions |
| primary_topic.display_name | Patient-Provider Communication in Healthcare |
| related_works | https://openalex.org/W2086338133, https://openalex.org/W4367679314, https://openalex.org/W225526533, https://openalex.org/W2078361494, https://openalex.org/W2009234990, https://openalex.org/W4244083766, https://openalex.org/W2091016074, https://openalex.org/W2134615400, https://openalex.org/W2023583523, https://openalex.org/W2022769024 |
| cited_by_count | 23 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 22 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1093/jamia/ocae142 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S129839026 |
| best_oa_location.source.issn | 1067-5027, 1527-974X |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1067-5027 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of the American Medical Informatics Association |
| best_oa_location.source.host_organization | https://openalex.org/P4310311648 |
| best_oa_location.source.host_organization_name | Oxford University Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| best_oa_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae142/58330181/ocae142.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of the American Medical Informatics Association |
| best_oa_location.landing_page_url | https://doi.org/10.1093/jamia/ocae142 |
| primary_location.id | doi:10.1093/jamia/ocae142 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S129839026 |
| primary_location.source.issn | 1067-5027, 1527-974X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1067-5027 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of the American Medical Informatics Association |
| primary_location.source.host_organization | https://openalex.org/P4310311648 |
| primary_location.source.host_organization_name | Oxford University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| primary_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae142/58330181/ocae142.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of the American Medical Informatics Association |
| primary_location.landing_page_url | https://doi.org/10.1093/jamia/ocae142 |
| publication_date | 2024-06-25 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4200043507, https://openalex.org/W2947493504, https://openalex.org/W2799571175, https://openalex.org/W2296048788, https://openalex.org/W2954484941, https://openalex.org/W3005890082, https://openalex.org/W3216484856, https://openalex.org/W4367310920, https://openalex.org/W4392928544, https://openalex.org/W3003721587, https://openalex.org/W6796581206, https://openalex.org/W2041282815, https://openalex.org/W2061554433, https://openalex.org/W2327037637, https://openalex.org/W4392063639, https://openalex.org/W4392542153, https://openalex.org/W3168867926 |
| referenced_works_count | 17 |
| abstract_inverted_index.3 | 109 |
| abstract_inverted_index.7 | 104 |
| abstract_inverted_index.a | 25, 80, 122, 129, 136, 230 |
| abstract_inverted_index.1, | 88 |
| abstract_inverted_index.7, | 92 |
| abstract_inverted_index.We | 78, 107 |
| abstract_inverted_index.as | 194 |
| abstract_inverted_index.at | 19, 94 |
| abstract_inverted_index.by | 148, 199, 239 |
| abstract_inverted_index.of | 9, 48, 82 |
| abstract_inverted_index.on | 151 |
| abstract_inverted_index.to | 5, 15, 27, 60, 90, 111, 228, 236 |
| abstract_inverted_index.(1) | 115 |
| abstract_inverted_index.(2) | 126 |
| abstract_inverted_index.(3) | 133 |
| abstract_inverted_index.For | 158 |
| abstract_inverted_index.LLM | 117 |
| abstract_inverted_index.The | 168 |
| abstract_inverted_index.Two | 99 |
| abstract_inverted_index.all | 55 |
| abstract_inverted_index.and | 31, 62, 71, 75, 132, 155, 176, 183, 192, 208, 210 |
| abstract_inverted_index.are | 23 |
| abstract_inverted_index.but | 178, 215 |
| abstract_inverted_index.can | 39, 222 |
| abstract_inverted_index.for | 174, 181 |
| abstract_inverted_index.had | 164 |
| abstract_inverted_index.our | 161 |
| abstract_inverted_index.the | 7, 20, 37, 46, 56, 65, 72, 144, 165, 195 |
| abstract_inverted_index.2022 | 89 |
| abstract_inverted_index.2023 | 93 |
| abstract_inverted_index.Five | 139 |
| abstract_inverted_index.GPT4 | 127, 134, 169 |
| abstract_inverted_index.LLM, | 125 |
| abstract_inverted_index.LLMs | 110, 221 |
| abstract_inverted_index.This | 2 |
| abstract_inverted_index.aims | 4 |
| abstract_inverted_index.best | 166 |
| abstract_inverted_index.five | 159 |
| abstract_inverted_index.goal | 47 |
| abstract_inverted_index.need | 59 |
| abstract_inverted_index.sent | 85 |
| abstract_inverted_index.than | 205, 213, 217 |
| abstract_inverted_index.that | 36, 50, 233 |
| abstract_inverted_index.them | 142 |
| abstract_inverted_index.they | 22, 58 |
| abstract_inverted_index.time | 21 |
| abstract_inverted_index.used | 108 |
| abstract_inverted_index.with | 17, 45, 128, 135, 143, 189, 202 |
| abstract_inverted_index.CLAIR | 162, 185 |
| abstract_inverted_index.GPT4, | 209, 214 |
| abstract_inverted_index.Large | 11 |
| abstract_inverted_index.March | 91 |
| abstract_inverted_index.lower | 179, 211 |
| abstract_inverted_index.model | 163, 170 |
| abstract_inverted_index.rated | 141 |
| abstract_inverted_index.study | 3 |
| abstract_inverted_index.their | 28, 43, 51 |
| abstract_inverted_index.those | 237 |
| abstract_inverted_index.using | 10 |
| abstract_inverted_index.(LLMs) | 14 |
| abstract_inverted_index.Models | 13 |
| abstract_inverted_index.actual | 145, 196 |
| abstract_inverted_index.answer | 40, 64 |
| abstract_inverted_index.before | 41 |
| abstract_inverted_index.better | 216 |
| abstract_inverted_index.common | 105 |
| abstract_inverted_index.delays | 74 |
| abstract_inverted_index.engage | 16 |
| abstract_inverted_index.higher | 172, 203 |
| abstract_inverted_index.safely | 61 |
| abstract_inverted_index.scores | 173, 180 |
| abstract_inverted_index.simple | 130 |
| abstract_inverted_index.Center. | 98 |
| abstract_inverted_index.January | 87 |
| abstract_inverted_index.Medical | 97 |
| abstract_inverted_index.Methods | 77 |
| abstract_inverted_index.Results | 157 |
| abstract_inverted_index.between | 86 |
| abstract_inverted_index.clarify | 229 |
| abstract_inverted_index.clarity | 182, 191 |
| abstract_inverted_index.complex | 137 |
| abstract_inverted_index.dataset | 81 |
| abstract_inverted_index.locally | 123 |
| abstract_inverted_index.medical | 231 |
| abstract_inverted_index.patient | 38, 83, 225 |
| abstract_inverted_index.prompt, | 131 |
| abstract_inverted_index.prompt. | 138 |
| abstract_inverted_index.sending | 42 |
| abstract_inverted_index.similar | 190 |
| abstract_inverted_index.utility | 175, 204 |
| abstract_inverted_index.written | 147, 198 |
| abstract_inverted_index.(CLAIR): | 121 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Language | 12 |
| abstract_inverted_index.clarity, | 152 |
| abstract_inverted_index.compares | 234 |
| abstract_inverted_index.designed | 227 |
| abstract_inverted_index.drafting | 24 |
| abstract_inverted_index.ensuring | 49 |
| abstract_inverted_index.generate | 32, 112, 223 |
| abstract_inverted_index.internal | 100 |
| abstract_inverted_index.medicine | 101 |
| abstract_inverted_index.message, | 44 |
| abstract_inverted_index.messages | 84, 226 |
| abstract_inverted_index.patients | 18 |
| abstract_inverted_index.provider | 53 |
| abstract_inverted_index.question | 26, 232 |
| abstract_inverted_index.received | 171 |
| abstract_inverted_index.receives | 54 |
| abstract_inverted_index.utility. | 156 |
| abstract_inverted_index.Objective | 1 |
| abstract_inverted_index.Responder | 120 |
| abstract_inverted_index.collected | 79 |
| abstract_inverted_index.favorably | 235 |
| abstract_inverted_index.follow-up | 34, 113, 187, 224 |
| abstract_inverted_index.generated | 186, 238 |
| abstract_inverted_index.pertinent | 33 |
| abstract_inverted_index.providers | 150, 207 |
| abstract_inverted_index.question, | 67 |
| abstract_inverted_index.questions | 35, 188 |
| abstract_inverted_index.Artificial | 118 |
| abstract_inverted_index.Conclusion | 220 |
| abstract_inverted_index.University | 96 |
| abstract_inverted_index.Vanderbilt | 95 |
| abstract_inverted_index.accurately | 63 |
| abstract_inverted_index.associated | 73 |
| abstract_inverted_index.fine-tuned | 124 |
| abstract_inverted_index.follow-ups | 146, 197 |
| abstract_inverted_index.healthcare | 29, 52, 149, 200, 206, 218, 240 |
| abstract_inverted_index.identified | 103 |
| abstract_inverted_index.messaging, | 70 |
| abstract_inverted_index.physicians | 102, 140 |
| abstract_inverted_index.providers, | 30, 201 |
| abstract_inverted_index.providers. | 219, 241 |
| abstract_inverted_index.questions: | 114 |
| abstract_inverted_index.scenarios, | 160 |
| abstract_inverted_index.scenarios. | 106 |
| abstract_inverted_index.conciseness | 193 |
| abstract_inverted_index.eliminating | 68 |
| abstract_inverted_index.feasibility | 8 |
| abstract_inverted_index.information | 57 |
| abstract_inverted_index.investigate | 6 |
| abstract_inverted_index.patient’s | 66 |
| abstract_inverted_index.Intelligence | 119 |
| abstract_inverted_index.completeness | 177, 212 |
| abstract_inverted_index.conciseness, | 154 |
| abstract_inverted_index.conciseness. | 184 |
| abstract_inverted_index.performance. | 167 |
| abstract_inverted_index.Comprehensive | 116 |
| abstract_inverted_index.completeness, | 153 |
| abstract_inverted_index.frustrations. | 76 |
| abstract_inverted_index.back-and-forth | 69 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5091713549 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I200719446, https://openalex.org/I901861585 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.99722869 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |