Using natural language processing in emergency medicine health service research: A systematic review and meta-analysis.

Objectives: Natural language processing (NLP) represents one of the adjunct technologies within artificial intelligence and machine learning, creating structure out of unstructured data. This study aims to assess the performance of employing NLP to identify and categorize unstructured data within the emergency medicine (EM) setting.

Methods: We systematically searched publications related to EM research and NLP across databases including MEDLINE, Embase, Scopus, CENTRAL, and ProQuest Dissertations & Theses Global.

Trends in… Adoption of Twitter by Health Sciences Librarians.

There is substantial research on librarians' engagement with various social media platforms as part of their professional obligations. We were interested in examining librarians' use of Twitter outside of the context of a job-related, but still professional, context. To find out more, we invited health sciences librarians via Twitter to discuss the impact that the platform has had on their professional lives, offering this column as an opportunity to share their experiences.

Defining, conceptualizing, and measuring perceived maternal care quality in low- to high-income countries: a scoping review protocol.

Background: Health practitioners and researchers must be able to measure and assess maternal care quality in facilities to monitor, intervene, and reduce global maternal mortality rates. On the global scale, there is a general lack of consensus on how maternal care quality is defined, conceptualized, and measured. Much of the literature addressing this problem has focused primarily on defining, conceptualizing, and measuring clinical indicators of maternal care quality.