Cargando…

Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department

Hospital admissions for patients with acute heart failure (AHF) remain high. There is an opportunity to improve alignment between patient risk and admission decision. We recently developed a machine learning (ML)-based model that stratifies emergency department (ED) patients with AHF based on predic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sax, Dana R., Sturmer, Lillian R., Mark, Dustin G., Rana, Jamal S., Reed, Mary E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600201/ https://www.ncbi.nlm.nih.gov/pubmed/36292152 http://dx.doi.org/10.3390/diagnostics12102463

Ejemplares similares

Risk adjusted 30‐day mortality and serious adverse event rates among a large, multi‐center cohort of emergency department patients with acute heart failure
por: Sax, Dana R., et al.
Publicado: (2022)

Outcomes among acute heart failure emergency department patients by preserved vs. reduced ejection fraction
por: Sax, Dana R., et al.
Publicado: (2021)

Graded Coronary Risk Stratification for Emergency Department Patients With Chest Pain: A Controlled Cohort Study
por: Mark, Dustin G., et al.
Publicado: (2021)

Prospective Validation and Comparative Analysis of Coronary Risk Stratification Strategies Among Emergency Department Patients With Chest Pain
por: Mark, Dustin G., et al.
Publicado: (2021)

Implementation and effectiveness of a physician-focused peer support program
por: Tolins, Molly L., et al.
Publicado: (2023)

Automated analysis of unstructured clinical assessments improves emergency department triage performance: A retrospective deep learning analysis
por: Sax, Dana R., et al.
Publicado: (2023)

Physicians’ Perceptions of Clinical Decision Support to Treat Patients With Heart Failure in the ED
por: Casey, Scott D., et al.
Publicado: (2023)

Evaluation of the Emergency Severity Index in US Emergency Departments for the Rate of Mistriage
por: Sax, Dana R., et al.
Publicado: (2023)

Barriers to guideline implementation and educational needs of general practitioners regarding heart failure: a qualitative study
por: Peters-Klimm, Frank, et al.
Publicado: (2012)

PrEP implementation in the Asia-Pacific region: opportunities, implementation and barriers
por: Zablotska, Iryna, et al.
Publicado: (2016)

Failure Analysis for Ultrasound Machines in a Radiology Department after Implementation of Predictive Maintenance Method
por: Chu, Greg, et al.
Publicado: (2018)

National Thoracic Surgery Standards Implementation: Barriers, Enablers, and Opportunities
por: Arnaout, Angel, et al.
Publicado: (2021)

Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department
por: Liu, Nan, et al.
Publicado: (2021)

Public mental health: An opportunity to address implementation failure
por: Campion, Jonathan, et al.
Publicado: (2022)

Paediatric patient stratification in the emergency department
por: Balamuth, Fran, et al.
Publicado: (2020)

Systemic barriers and opportunities for implementing school-based social–emotional learning interventions in low-income and conflict-affected settings
por: McCoy, Dana Charles, et al.
Publicado: (2023)

Implementing a comprehensive newborn monitoring chart: Barriers, enablers, and opportunities
por: Muinga, Naomi, et al.
Publicado: (2022)

Clinical characteristics of COVID‐19 patients evaluated in the emergency department: A retrospective cohort study of 801 cases
por: Cotton, Dale M., et al.
Publicado: (2021)

Virtual On-Treatment Visits: Implementation, Patient Perspectives, Barriers, Limitations, Benefits, and Opportunities
por: Roof, Kevin S., et al.
Publicado: (2020)

The Future of Urban Health: Needs, Barriers, Opportunities, and Policy Advancement at Large Urban Health Departments
por: Hearne, Shelley, et al.
Publicado: (2015)

The epigenetics of breast cancer – Opportunities for diagnostics, risk stratification and therapy
por: Schröder, Rieke, et al.
Publicado: (2021)

A new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning
por: Mao, Hai-Feng, et al.
Publicado: (2020)

Barriers and opportunities to implementation of sustainable e-Health programmes in Uganda: A literature review
por: Kiberu, Vincent M., et al.
Publicado: (2017)

Intraoperative Methadone and Short Stay Spine Surgery: Possible Barriers to Implementation and Future Opportunities
por: Stone, Alexander B, et al.
Publicado: (2022)

Physical activity barriers according to social stratification in Europe
por: Moreno-Llamas, Antonio, et al.
Publicado: (2020)

Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification
por: Nartowt, Bradley J., et al.
Publicado: (2020)

Undocumented Patients in the Emergency Department: Challenges and Opportunities
por: Samra, Shamsher, et al.
Publicado: (2019)

Risk stratification in autoimmune cholestatic liver diseases: Opportunities for clinicians and trialists
por: Trivedi, Palak J., et al.
Publicado: (2015)

Inflammation: opportunities for treatment stratification among individuals diagnosed with mood disorders
por: Subramaniapillai, Mehala, et al.
Publicado: (2017)

Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges
por: ten Haaf, Kevin, et al.
Publicado: (2021)

Integrated molecular characterisation of endometrioid ovarian carcinoma identifies opportunities for stratification
por: Hollis, Robert L., et al.
Publicado: (2021)

A Scoping Review of Emergency Department Discharge Risk Stratification
por: Jaffe, Todd A., et al.
Publicado: (2021)

Improving Risk Stratification of Patients With Chest Pain in the Emergency Department
por: Altunoz, Yusuf, et al.
Publicado: (2023)

Multi‐modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45%
por: Tse, Gary, et al.
Publicado: (2020)

A streamlined, machine learning-derived approach to risk-stratification in heart failure patients with secondary tricuspid regurgitation
por: Heitzinger, Gregor, et al.
Publicado: (2023)

Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit
por: D’Hondt, Ellie, et al.
Publicado: (2022)

The implementation of pharmacogenomics into UK general practice: a qualitative study exploring barriers, challenges and opportunities
por: Rafi, I., et al.
Publicado: (2020)

Implementation of the Canadian National Standards in Breast Cancer Surgical Care: Gaps, Barriers, Enablers and Opportunities
por: Arnaout, Angel, et al.
Publicado: (2021)

Barriers and Opportunities for Patient-Reported Outcome Implementation: A National Pediatrician Survey in the United States
por: Chen, Ming, et al.
Publicado: (2022)

Barriers to symptom management care pathway implementation in pediatric Cancer
por: Dupuis, L. Lee, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_c2apifibsg8ljpi3ufeb0vorq1