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Dataset Information

Electronic Health Record Mortality Prediction Model for Targeted Palliative Care Among Hospitalized Medical Patients: a Pilot Quasi-experimental Study.


ABSTRACT:

Background

Development of electronic health record (EHR) prediction models to improve palliative care delivery is on the rise, yet the clinical impact of such models has not been evaluated.

Objective

To assess the clinical impact of triggering palliative care using an EHR prediction model.

Design

Pilot prospective before-after study on the general medical wards at an urban academic medical center.

Participants

Adults with a predicted probability of 6-month mortality of ≥ 0.3.

Intervention

Triggered (with opt-out) palliative care consult on hospital day 2.

Main measures

Frequencies of consults, advance care planning (ACP) documentation, home palliative care and hospice referrals, code status changes, and pre-consult length of stay (LOS).

Key res

SUBMITTER: Courtright KR 

PROVIDER: S-EPMC6712114 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature