Development and Evaluation of Machine Learning Models for the Detection of Emergency Department Patients with Opioid Misuse from Clinical Notes.

Objectives: The accurate identification of Emergency Department (ED) encounters involving opioid misuse is critical for health services, research, and surveillance. We sought to develop natural language processing (NLP)-based models for the detection of ED encounters involving opioid misuse.

Methods: A sample of ED encounters enriched for opioid misuse was manually annotated and clinical notes extracted.

Pre-implementation determinants for digital mental health integration in Chicago pediatric primary care.

Objective: Pediatric primary care (PPC) is a common treatment site for pediatric mental health, but it is currently unable to meet the needs of all teen patients, particularly those with minoritized identities and/or marginalized experiences. Digital mental health (DMH) low-intensity treatments (LITs) can increase mental health screening and care capacity in PPC, but how this is done successfully without burdening providers, patients, or families is unclear. This paper presents a pre-implementation study aimed at understanding the implementation context (PPCs in Chicago, IL) for a specific DMH LIT.

Implementation of peer recovery coach services for opioid overdose patients in emergency departments in Indiana: findings from an informal learning collaborative of stakeholders.

The Recovery Coach and Peer Support Initiative (RCPSI) in Indiana focused on implementing peer recovery coaches (PRCs) to engage opioid overdose patients in emergency department (ED) settings and promote entry into recovery services. State workers and researchers organized an informal learning collaborative primarily through teleconference meetings with representatives of 11 health service vendors to support implementation. This study presents qualitative analysis of the teleconference meeting discussions that guided RCPSI implementation to display how the informal learning collaborative functioned to support implementation.