Improving the delivery of palliative care through predictive modeling and healthcare informatics.

ABSTRACT:

Objective

Access to palliative care (PC) is important for many patients with uncontrolled symptom burden from serious or complex illness. However, many patients who could benefit from PC do not receive it early enough or at all. We sought to address this problem by building a predictive model into a comprehensive clinical framework with the aims to (i) identify in-hospital patients likely to benefit from a PC consult, and (ii) intervene on such patients by contacting their care team.

Materials and methods

Electronic health record data for 68 349 inpatient encounters in 2017 at a large hospital were used to train a model to predict the need for PC consult. This model was published as a web service, connected to institutional data pipelines, and consumed by a downstream displa

SUBMITTER: Murphree DH 

PROVIDER: S-EPMC8661428 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature