Cargando…
Implementing a Clinical Decision Tool to Improve Oncologic Venous Thromboembolism Management
BACKGROUND: Cancer patients with venous thromboembolic (VTE) disease are complex, and many factors must be considered when initiating anticoagulation management. Clinical decision support systems can aid in decision-making by utilizing guidelines at the point of care. OBJECTIVES: The purpose of our...
Autores principales: | Majeed, Jibran, Turner, Barbara S., Kelly, Deirdre, Poon, Chester, Thompson, Julie A., Barrett, John, Soff, Gerald A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Harborside Press LLC
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214964/ https://www.ncbi.nlm.nih.gov/pubmed/35755895 http://dx.doi.org/10.6004/jadpro.2022.13.4.3 |
Ejemplares similares
-
Application of Machine Learning to the Prediction of Cancer-Associated Venous Thromboembolism
por: Mantha, Simon, et al.
Publicado: (2023) -
Atypical Radiculopathy in an Oncology Patient
por: Davis, Mark
Publicado: (2020) -
Role of Oncology Advanced Practitioners to Enhance Clinical Research
por: Braun-Inglis, Christa, et al.
Publicado: (2022) -
Distress in Neuro-Oncology Patients and Its Implications for Communication
por: Roos, Carolin, et al.
Publicado: (2023) -
Medicaid Waivers and Tenancy Supports for Individuals Experiencing Homelessness: Implementation Challenges in Four States
por: THOMPSON, FRANK J., et al.
Publicado: (2021)