Collaboration strategies for bridging health, behavioral health, and social services in California's Medi-Cal Whole Person Care Pilot Program.

Objective: To identify collaboration strategies used to integrate health, behavioral health, and social services for Medicaid members in California's Medi-Cal Whole Person Care Pilot program (WPC).

Data Sources And Study Setting: WPC was a social care intervention implemented to identify and address eligible members' health, behavioral health, and social needs. Data included semi-structured key informant interviews conducted in 2018-2019 (n = 221) and 2021 (n = 167); pilot-level surveys; whole-network surveys of 507 organizations in all 25 pilots participating in WPC; and documents submitted by pilots to the state.

Program Implementation Strategies Associated With Reduced Acute Care Utilization for Medicaid Beneficiaries in California's Whole Person Care Pilot Program.

Public health care policymakers and payers are increasingly investing in efforts to address patients' health-related social needs (HRSNs) as a strategy for improving health while controlling or reducing costs. However, evidence regarding the implementation and impact of HRSN interventions remains limited. California's Whole Person Care Pilot program (WPC) was a Medicaid Section 1115 waiver demonstration program focused on the provision of care coordination and other services to address eligible beneficiaries' HRSN.

Validation and Comparison of Common Thoracolumbar Injury Classification Treatment Algorithms and a Novel Modification.

Background And Objectives: The most common thoracolumbar trauma classification systems are the Thoracolumbar Injury Classification and Severity Score (TLICS) and the Thoracolumbar AO Spine Injury Score (TL AOSIS). Predictive accuracy of treatment recommendations is a historical limitation. Our objective was to validate and compare TLICS, TL AOSIS, and a modified TLICS (mTLICS) that awards 2 points for the presence of fractured vertebral body height loss >50% and/or spinal canal stenosis >50% at the fracture site.

Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children.

Introduction: Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethical and pragmatic questions. Parental support is important for the advancement of AI in pediatric medicine. However, there is little literature describing parental attitudes toward AI in pediatric healthcare, and existing studies do not represent parents of hospitalized children well.

Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review.

Introduction: The use of artificial intelligence (AI), particularly machine learning and predictive analytics, has shown great promise in health care. Despite its strong potential, there has been limited use in health care settings. In this systematic review, we aim to determine the main barriers to successful implementation of AI in healthcare and discuss potential ways to overcome these challenges.