Drivers of Moral Distress in Surgical Intensive Care Providers: A Mixed Methods Study.

Background: Moral distress is common among healthcare providers, leading to staff burnout and attrition. This study aimed to identify root causes of and potential solutions to moral distress experienced by surgical intensive care unit (SICU) providers.

Materials And Methods: This is a mixed methods study of physicians and nurses from a single, academic SICU.

Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on manual chart review. The rapid adoption of electronic health records (EHRs) has the potential to allow the secondary use of EHR data for quality surveillance programs. This study aims to investigate the effectiveness of integrating natural language processing (NLP) outputs with structured EHR data to build machine learning models for SSI identification using real-world clinical data.