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

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%; <i>p</i> = 0.009) in the pre- and post-intervention period. Logistic regression model after adjusting for covariates showed an average marginal effect of -5.12% after the intervention (CI: -9.75%, -0.50%; <i>p</i> = 0.03).Our intervention resulted in a decrease in discordant resuscitation orders. This study demonstrates that accessibility to eMOLST data within the provider workflow supported by CDS can reduce discrepancies between patient end-of-life wishes and hospital code status orders.

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Publication Details

Journal
Applied Clinical Informatics
Published
2025-04-23
DOI
https://doi.org/10.1055/a-2591-9040
Citations
2
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
3.76
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Clinical Decision Support Leveraging Health Information Exchange Improves Concordance with Patients' Resuscitation Orders and End-of-Life Wishes

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2 citations
Applied Clinical Informatics
Palliative Care and End-of-Life Issues
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article

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

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

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%; <i>p</i> = 0.009) in the pre- and post-intervention period. Logistic regression model after adjusting for covariates showed an average marginal effect of -5.12% after the intervention (CI: -9.75%, -0.50%; <i>p</i> = 0.03).Our intervention resulted in a decrease in discordant resuscitation orders. This study demonstrates that accessibility to eMOLST data within the provider workflow supported by CDS can reduce discrepancies between patient end-of-life wishes and hospital code status orders.

Applied Clinical InformaticsVol. 16(04)
NYU Langone Health (US), Office of Patient Care Services (US), Population Council (US), New York University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Palliative Care and End-of-Life Issues
3.76
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