Evidence map›Paper›PMID 25352564›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

HARVEST, a longitudinal patient record summarizer.

Jamie S Hirsch, Jessica S Tanenbaum, Sharon Lipsky Gorman, Connie Liu, Eric Schmitz, Dritan Hashorva, Artem Ervits, David Vawdrey, Marc Sturm, Noémie Elhadad

Open access · bronzeAbstract read
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 64 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 4 pooled it
4.1field-weighted citation impact, top 5% of its field
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

64 citing papers in PubMed, 4 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Pooled it
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  8. VIEWER: an extensible visual analytics framework for enhancing mental healthcare.Journal of the American Medical Informatics Association : JAMIA · 2026
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  9. Toward Complete Hospital Discharge Summarization with Abstract Meaning Representation.Proceedings. IEEE International Conference on Healthcare Informatics · 2026
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  18. VisualSphere: a Web-based Interactive Visualization System for Clinical Research Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  19. Article
  20. Article

4 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Jamie S HirschDepartment of Biomedical Informatics, Columbia University, New York, USA Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
Jessica S TanenbaumCollege of Physicians and Surgeons, Columbia University, New York, USA.
Sharon Lipsky GormanDepartment of Biomedical Informatics, Columbia University, New York, USA.
Connie LiuDepartment of Biomedical Informatics, Columbia University, New York, USA.
Eric SchmitzNew York Presbyterian Hospital, New York, USA.
Dritan HashorvaNew York Presbyterian Hospital, New York, USA.
Artem ErvitsNew York Presbyterian Hospital, New York, USA.
David VawdreyDepartment of Biomedical Informatics, Columbia University, New York, USA.
Marc SturmNew York Presbyterian Hospital, New York, USA.
Noémie ElhadadDepartment of Biomedical Informatics, Columbia University, New York, USA.
Columbia University · USNewYork–Presbyterian Hospital · US

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
An NLP Approach to Generating Patient Record SummariesR01LM010027 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ELHADAD, NOEMIE · 2009 to 2010
$912k
NLM NIH HHS R01 LM010027NLM NIH HHS T15 LM007079NLM NIH HHS T15 LM007079-22
6 · The paper itself

Abstract

objectiveTo describe HARVEST, a novel point-of-care patient summarization and visualization tool, and to conduct a formative evaluation study to assess its effectiveness and gather feedback for iterative improvements. MATERIALS AND

methodsHARVEST is a problem-based, interactive, temporal visualization of longitudinal patient records. Using scalable, distributed natural language processing and problem salience computation, the system extracts content from the patient notes and aggregates and presents information from multiple care settings. Clinical usability was assessed with physician participants using a timed, task-based chart review and questionnaire, with performance differences recorded between conditions (standard data review system and HARVEST).

resultsHARVEST displays patient information longitudinally using a timeline, a problem cloud as extracted from notes, and focused access to clinical documentation. Despite lack of familiarity with HARVEST, when using a task-based evaluation, performance and time-to-task completion was maintained in patient review scenarios using HARVEST alone or the standard clinical information system at our institution. Subjects reported very high satisfaction with HARVEST and interest in using the system in their daily practice. DISCUSSION: HARVEST is available for wide deployment at our institution. Evaluation provided informative feedback and directions for future improvements.

conclusionsHARVEST was designed to address the unmet need for clinicians at the point of care, facilitating review of essential patient information. The deployment of HARVEST in our institution allows us to study patient record summarization as an informatics intervention in a real-world setting. It also provides an opportunity to learn how clinicians use the summarizer, enabling informed interface and content iteration and optimization to improve patient care.

Indexed as

Data DisplayElectronic Health RecordsUser-Computer InterfaceAttitude to ComputersHumansNatural Language ProcessingSoftwareSurveys and Questionnaireselectronic health recordnatural language processingsummarizationvisualization

Identifiers

PMID25352564
PMCPMC4394965
OpenAlexW2167976315

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.