Karen Monsen and Max Topaz Honored With AMIA 2021 Signature Awards.

Comput Inform Nurs

Alliance for Nursing Informatics, Chicago, Illinois; MITRE Corporation, McLean, VA.

Published: February 2022

Download full-text PDF

Source
http://dx.doi.org/10.1097/CIN.0000000000000892DOI Listing

Publication Analysis

Top Keywords

karen monsen
4
monsen max
4
max topaz
4
topaz honored
4
honored amia
4
amia 2021
4
2021 signature
4
signature awards
4
karen
1
max
1

Similar Publications

Implementation of a Childhood Lead Poisoning Prevention Program Data and Outcomes Management System Based on the Omaha System: A Pre-Post Evaluation.

Comput Inform Nurs

September 2024

Author Affiliations: Johns Hopkins University, Baltimore, MD (Dr Hwang, Dr Ernst, Dr VanGraafeiland); Riverside University Health System, Childhood Lead Poisoning Prevention Program, Riverside (Ms Tataw); and Epidemiology and Research Unit, California Department of Public Health, Childhood Lead Poisoning Prevention Branch, Richmond (Dr Mohllajee), CA; and University of Minnesota School of Nursing, Minneapolis (Dr Monsen).

View Article and Find Full Text PDF

Background:  Multitasking, defined as performing two or more interventions simultaneously, increases the cognitive burden of clinicians. This may, in turn, lead to higher risk of medication and procedural errors. Time motion study (TMS) data for nurses in nursing homes revealed an extensive amount of multitasking while managing medications.

View Article and Find Full Text PDF

This poster presentation describes innovative use of the Omaha System, a standardized terminology, into public health nurses' (PHNs) workflow and electronic records within a local health department's Childhood Lead Poisoning Prevention Program. The Omaha System facilitated the tracking of evidence-based interventions and client outcomes, showing a significant improvement in record completeness (from 33% pre-implementation to 84% post-implementation) and client outcomes in health care supervision, growth and development, and nutrition. Outcome data analysis revealed improvement across all post-implementation records from initial assessments to interim assessments for Health care supervision (p<.

View Article and Find Full Text PDF
Article Synopsis
  • The work of public health nurses (PHNs) in mental health assessment and intervention is complex, making it hard to evaluate how their efforts improve client outcomes.* -
  • This study analyzed data from over 4,000 clients to compare traditional propensity scoring methods with energy-balancing weights (EBWs) for adjusting differences in baseline characteristics among those receiving PHN interventions.* -
  • Results showed that while EBWs were more effective in balancing client characteristics, clients who received more diverse and frequent PHN interventions had consistently improved outcomes in knowledge, behavior, and mental health over time.*
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!