Evidence map›Paper›PMID 25324557›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Quantifying care coordination using natural language processing and domain-specific ontology.

Lori L Popejoy, Mohammed A Khalilia, Mihail Popescu, Colleen Galambos, Vanessa Lyons, Marilyn Rantz, Lanis Hicks, Frank Stetzer

Abstract readComparative Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. From Conversation to Standardized Terminology: An LLM-RAG Approach for Automated Health Problem Identification in Home Healthcare.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025
    Article
  4. The risk factors influencing nonroutine discharge in surgical patients with spinal metastases: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Technology-facilitated care coordination in rural areas: What is needed?International journal of medical informatics · 2020
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

8 authors.

Lori L PopejoySinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
Mohammed A KhaliliaDepartment of Computer Science, University of Missouri, Columbia, Missouri, USA.
Mihail PopescuHealth Management and Informatics Department, University of Missouri, Columbia, Missouri, USA.
Colleen GalambosSchool of Social Work, University of Missouri, Columbia, Missouri, USA.
Vanessa LyonsSinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
Marilyn RantzSinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
Lanis HicksHealth Management and Informatics Department, University of Missouri, Columbia, Missouri, USA.
Frank StetzerSinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.

Funding

Care coordination for older adults: Process, outcomes, costR15NR012940 · NINR · UNIVERSITY OF MISSOURI-COLUMBIA · PI POPEJOY, LORI LEA · 2011 to 2011
$451k
NINR NIH HHS 1R15NR012940-01
6 · The paper itself

Abstract

objectiveThis research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HHC) nurses when coordinating care for older community-dwelling adults and suggests a method to quantify care coordination.

methodsA care coordination ontology was built based on activities extracted from 11,038 notes labeled with the Omaha Case management category. From the parsed narrative notes of every patient, we mapped the extracted activities to the ontology, from which we computed problem profiles and quantified care coordination for all patients.

resultsWe compared two groups of patients: AIP who received enhanced care coordination (n=217) and HHC who received traditional care (n=691) using 128,135 narratives notes. Patients were tracked from the time they were admitted to AIP or HHC until they were discharged. We found that patients in AIP received a higher dose of care coordination than HHC in most Omaha problems, with larger doses being given in AIP than in HHC in all four Omaha categories.

conclusions'Communicate' and 'manage' activities are widely used in care coordination. This confirmed the expert hypothesis that nurse care coordinators spent most of their time communicating about their patients and managing problems. Overall, nurses performed care coordination in both AIP and HHC, but the aggregated dose across Omaha problems and categories is larger in AIP.

Indexed as

Electronic Health RecordsNatural Language ProcessingNursing RecordsAgedBiological OntologiesDatasets as TopicHome Health NursingHumansNarrationPatient Care Managementcare coordinationnatural language processingOmaha classification systemontology

Identifiers

PMID25324557
PMCPMC5901124

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.