Clinical Decision Support for Glycemic Management Reduces Hospital Length of Stay.

Objective: Dysglycemia influences hospital outcomes and resource utilization. Clinical decision support (CDS) holds promise for optimizing care by overcoming management barriers. This study assessed the impact on hospital length of stay (LOS) of an alert-based CDS tool in the electronic medical record that detected dysglycemia or inappropriate insulin use, coined as gaps in care (GIC).

Effect of a Prescription Drug Monitoring Program on Emergency Department Opioid Prescribing.

Introduction: Our goal was to determine whether implementation of a prescription drug monitoring program (PDMP) altered emergency department (ED) opioid prescription rates overall and in patients of different pain severities.

Methods: We conducted this single-center, retrospective review at an academic ED. The study examined patients discharged from the ED who received opioid prescriptions, before and after the state's implementation of a PDMP (August 25, 2016).

Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes.

Introduction: Innovative approaches are needed to design robust clinical decision support (CDS) to optimize hospital glycemic management. We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations.

Research Design And Methods: The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.

Improving Outcomes in Patients With Sepsis.

Sepsis mortality may be improved by early recognition and appropriate treatment based on evidence-based guidelines. An intervention was developed that focused on earlier identification of sepsis, early antimicrobial administration, and an educational program that was disseminated throughout all hospital units and services. There were 1331 patients with sepsis during the intervention period and 1401 patients with sepsis during the control period.

Patient flow in the emergency department: a classification and analysis of admission process policies.

Study Objective: We investigate the effect of admission process policies on patient flow in the emergency department (ED).

Methods: We surveyed an advisory panel group to determine approaches to admission process policies and classified them as admission decision is made by the team of providers (attending physicians, residents, physician extenders) (type 1) or attending physicians (type 2) on the admitting service, team of providers (type 3), or attending physicians (type 4) in the ED. We developed discrete-event simulation models of patient flow to evaluate the potential effect of the 4 basic policy types and 2 hybrid types, referred to as triage attending physician consultation and remote collaborative consultation on key performance measures.