Natural Language Processing - A Surveillance Stepping Stone to Identify Child Abuse.

Objective: We aimed to refine a natural language processing (NLP) algorithm that identified injuries associated with child abuse and identify areas in which integration into a real-time clinical decision support (CDS) tool may improve clinical care.

Methods: We applied an NLP algorithm in "silent mode" to all emergency department (ED) provider notes between July 2021 and December 2022 (n = 353) at 1 pediatric and 8 general EDs. We refined triggers for the NLP, assessed adherence to clinical guidelines, and evaluated disparities in degree of evaluation by examining associations between demographic variables and abuse evaluation or reporting to child protective services.

The Evolving Needs of Children Hospitalized for Eating Disorders During the COVID-19 Pandemic.

Background And Objectives: Throughout the COVID-19 pandemic, there has been an increase in hospital admissions for adolescents with eating disorders (EDs). However, there is a paucity of information on how this increase has affected hospitalization courses and disposition planning. We sought to describe the changes in hospitalizations for EDs at our institution during the pandemic.

The impact of a child abuse guideline on differences between pediatric and community emergency departments in the evaluation of injuries.

Background: Although child physical abuse is missed more frequently in community (CEDs) vs. pediatric emergency departments (PEDs), little information exists describing how evaluations of high-risk injuries differ between these settings.

Objectives: To determine differences in evaluations of infants for abuse between a PED and CEDs and whether a child abuse guideline reduced these differences.

Medical Student Patient Outreach to Ensure Continuity of Care During the COVID-19 Pandemic.

Background: In response to the COVID-19 pandemic, the Yale New Haven Health System began rescheduling nonurgent outpatient appointments as virtual visits in March 2020. While Yale New Haven Health expanded its telemedicine infrastructure to accommodate this shift, many appointments were delayed and patients faced considerable uncertainty.

Objective: Medical students created the Medical Student Task Force (MSTF) to help ensure continuity of care by calling patients whose appointments were delayed during this transition to telemedicine.

The Use of Experts to Evaluate a Child Abuse Guideline in Community Emergency Departments.

Objective: Guidelines and pathways exist to help frontline providers evaluate injured children for suspected child abuse. Little, however, is known about whether the decision-making resulting from these interventions is correct. Therefore, in the absence of an available gold-standard test, we used experts' judgments to examine the appropriateness of these clinical decisions.

Child Protection Team Consultation for Injuries Potentially Due to Child Abuse in Community Emergency Departments.

Objectives: Emergency care for children is provided predominantly in community emergency departments (CEDs), where abusive injuries frequently go unrecognized. Increasing access to regional child abuse experts may improve detection of abuse in CEDs. In three CEDs, we intervened to increase involvement of a regional hospital child protection team (CPT) for injuries associated with abuse in children < 12 months old.

Case report: Providencia stuartii conjunctivitis.

Purpose: The purpose of this study is to report a case of Providencia stuartii conjunctivitis.

Methods: This study is a retrospective chart review of a patient with persistent conjunctivitis.

Results: We report the first case of P.