Evidence map›Paper›PMID 40267976›Full record

ArticleApplied clinical informatics2025

Clinical Decision Support Leveraging Health Information Exchange Improves Concordance with Patients' Resuscitation Orders and End-of-Life Wishes.

Eesha Chakravartty, Jared Silberlust, Saul B Blecker, Yunan Zhao, Fariza Alendy, Heather Menzer, Aamina Ahmed, Simon Jones, Meg Ferrauiola, Jonathan Austrian

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

10 authors.

Eesha ChakravarttyDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, United States.
Jared SilberlustDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, United States.
Saul B BleckerDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, United States.
Yunan ZhaoDepartment of Population Health, New York University, New York, New York, United States.
Fariza AlendyDepartment of Nursing and Patient Care Services, New York University Langone, New York, New York, United States.
Heather MenzerDepartment of Nursing and Patient Care Services, New York University Langone, New York, New York, United States.
Aamina AhmedDepartment of Population Health, New York University, New York, New York, United States.
Simon JonesDepartment of Population Health, New York University, New York, New York, United States.
Meg FerrauiolaDepartment of Health Informatics, New York University Langone Medical Center Information Technology, New York, New York, United States.
Jonathan AustrianDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to improve concordance between patient end-of-life preferences and code status orders by incorporating data from a state registry with clinical decision support (CDS) within the electronic health record (EHR) to preserve patient autonomy and ensure that patients receive care that aligns with their wishes.Leveraging a health information exchange (HIE) interface between the New York State Medical Orders for Life-Sustaining Treatment (eMOLST) registry and the EHR of our academic health system, we developed a bundled CDS intervention that displays eMOLST information at the time of code status ordering and provides an in-line alert when providers enter a resuscitation order discordant with wishes documented in the eMOLST registry. To evaluate this intervention, we performed a segmented regression analysis of an interrupted time series to compare the percentage of discordant orders before and after implementation among all hospitalizations for which an eMOLST was available.We identified a total of 3,648 visits that had an eMOLST filed prior to inpatient admission and a code status order placed during admission. There was a statistically significant decrease of discordant resuscitation orders of -5.95% after the intervention went live, with a relative risk reduction of 25% (95% CI: -9.95%, -1.94%;

Indexed as

Decision Support Systems, ClinicalHealth Information ExchangeResuscitation OrdersTerminal CareAgedElectronic Health RecordsFemaleHumansMaleMiddle Aged

Identifiers

PMID40267976
PMCPMC12396902

What OpenQuestion holds

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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.