Unlabelled: Acute kidney injury (AKI) survivors have a dynamic posthospital course which warrants close monitoring. Remote patient monitoring (RPM) could be used to improve quality and efficiency of AKI survivor care.
Objective: The objective of this report was to describe the development and preliminary feasibility of an AKI RPM program launched in October 2021.
Purpose: This article demonstrates the leadership role of the clinical nurse specialist in developing and implementing healthcare technology across the continuum of care.
Description: Three virtual nursing practices-facilitated self-care, remote patient monitoring, and virtual acute care nursing-illustrate how the clinical nurse specialist is well suited to transform traditional practice models to ones that use healthcare technology effectively. These 3 practices use interactive healthcare technology to gather patient data and allow communication and coordination with the healthcare team to meet patient-specific needs.
Established technology, operational infrastructure, and nursing resources were leveraged to develop a remote patient monitoring (RPM) program for ambulatory management of patients with COVID-19. The program included two care-delivery models with different monitoring capabilities supporting variable levels of patient risk for severe illness. The primary objective of this study was to determine the feasibility and safety of a multisite RPM program for management of acute COVID-19 illness.
View Article and Find Full Text PDFPurpose: The goal of this study was to assess the impact of an interdisciplinary remote patient monitoring (RPM) program on clinical outcomes and acute care utilization in cancer patients with COVID-19.
Methods: This is a cross-sectional analysis following a prospective observational study performed at Mayo Clinic Cancer Center. Adult patients receiving cancer-directed therapy or in recent remission on active surveillance with polymerase chain reaction-confirmed SARS-CoV-2 infection between March 18 and July 31, 2020, were included.
Background: Carbohydrate counting may improve glycemic control in hospitalized cardiology patients by providing individualized insulin doses tailored to meal consumption. The purpose of this study was to compare glycemic outcomes with mealtime insulin dosed by carbohydrate counting versus fixed dosing in the inpatient setting.
Materials And Methods: This single-center retrospective cohort study included 225 adult medical cardiology patients who received mealtime, basal, and correction-scale insulin concurrently for at least 72 h and up to 7 days in the interval March 1, 2010-November 7, 2013.
Glycemic control in hospitalized patients is challenging but important for optimal outcomes. Insulin dosing through carbohydrate counting may address patient, provider, and institutional factors that complicate hospital glycemic management. On two surgical units at a tertiary care teaching hospital, we pilot tested postmeal insulin dosing based on carbohydrate counting (plus basal insulin) rather than the current process of ordering scheduled premeal insulin without knowledge of the patient's consumption.
View Article and Find Full Text PDFSix medical units realized that they were having issues with accurate timing of bedtime blood glucose measurement for their patients with diabetes. They decided to investigate the issues by using their current staff nurse committee structure. The clinical nurse specialists and nurse education specialists decided to address the issue by educating and engaging the staff in the define, measure, analyze, improve, control (DMAIC) framework process.
View Article and Find Full Text PDFPurpose: This study aimed to determine the level of actual and preferred decisional involvement and ascertain whether there is decisional dissonance among registered nurses (RNs).
Subjects And Methods: A convenience sample of 196 RNs completed a demographic form and the Decisional Involvement Scale, a tool that measures actual and preferred decisional involvement for RNs in 6 categories: unit staffing, quality of professional practice, professional recruitment, unit governance and leadership, quality of support staff practice, and collaboration/liaison activities. From these data, the level of and difference between RN's actual and preferred decisional involvement was analyzed.