Purpose: Infectious Diseases (ID) pharmacy expertise is crucial for the success of antimicrobial stewardship (AMS) efforts. As health systems expand due to mergers and acquisitions, ID pharmacy teams strive to deliver consistent care across the enterprise. This report describes the fusion of multiple AMS practice models during the integration of health systems to optimize and standardize care delivery.

Summary: The merger of two large, community hospital systems necessitated the recalibration of services of both legacy antimicrobial stewardship programs (ASPs). While there was agreement that ID pharmacists perform daily prospective audit and feedback of antimicrobials and respond to diagnostics and cultures, the prioritization of practices across the enterprise that retained allowances for individual hospital nuance was paramount. The result was a practice model dedicated to consistent patient care regardless of geographic location, socioeconomic status, or reliance on a single ID pharmacist's availability. Additionally, the team coordinates the system ASP, in collaboration with medical staff. This includes implementation of stewardship initiatives, formulary management and guideline and document control. Lastly, ID pharmacists serve as a resource for prescribers and pharmacy staff and leadership.

Conclusion: The development of a standardized ID pharmacy practice model delivered through a hybrid of remote and in-person coverage addressed disparities in clinical services, education and ASP management. Complexities such as care gaps during leave are reconciled with this process while maintaining the minimum expectations of every ID pharmacist. This was especially crucial to establish consistent patient care across state lines with the rise of virtual services and inability to develop on-site rapport.

Download full-text PDF

Source
http://dx.doi.org/10.1177/08971900241308620DOI Listing

Publication Analysis

Top Keywords

antimicrobial stewardship
12
infectious diseases
8
diseases pharmacy
8
health systems
8
practice model
8
consistent patient
8
patient care
8
care
6
pharmacy
5
standardized clinical
4

Similar Publications

Background: Lower respiratory tract infections (LRTIs) remain a leading cause of community-acquired and nosocomial infection in children and a common indication for antimicrobial use and intensive care admission. Determining the causative pathogen for LRTIs is difficult and traditional culture-based methods are labor- and time-intensive. Emerging molecular diagnostic tools may identify pathogens and detect antimicrobial resistance more quickly, to enable earlier targeted antimicrobial therapy.

View Article and Find Full Text PDF

Background: Canine gastroenteritis (CGE) is a common cause for seeking veterinary care in companion animal medicine and an area where antibiotics have been reported to be widely used. Therefore, creating relevant benchmarks for antibiotic use in CGE is important when implementing and analyzing antibiotic stewardship interventions. The aim of this paper was to describe the level and temporal trend of systemic antibiotic use for CGE in Sweden between 2020 and 2023.

View Article and Find Full Text PDF

Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.

J Infect

December 2024

Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK; Oxford University Hospitals NHS Foundation Trust, Oxford, UK. Electronic address:

Background: Patients with Gram-negative bloodstream infections are at risk of serious adverse outcomes without active treatment, but identifying who has antimicrobial resistance (AMR) to target empirical treatment is challenging.

Methods: We used XGBoost machine learning models to predict antimicrobial resistance to seven antibiotics in patients with Enterobacterales bloodstream infection. Models were trained using hospital and community data from Oxfordshire, UK, for patients with positive blood cultures between 01-January-2017 and 31-December-2021.

View Article and Find Full Text PDF

Epidemiological trends for burn wound infections in 2020 in albania.

Ann Burns Fire Disasters

December 2024

Department of Biomedical and Experimental Courses, Faculty of Medicine, University of Medicine, Tirana, Albania.

The burn patient is at high hazard for nosocomial infections (NI) as a result of the nature of the burn damage itself, the immune-compromising impacts of burns, prolonged clinic stays, and intensive diagnostic and therapeutic strategies. The aim of this study is to describe the actual epidemiology of burn wound colonization and infection in the Intensive Care Unit (ICU) of the Service of Burns and Plastic Surgery at the University Hospital Center in Tirana, Albania. The study is retrospective clinical and analytical.

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!