Objective: To develop and implement a customized toolkit within the electronic medical record (EMR) to standardize care of patients with brain tumors.
Patients And Methods: We built a customized structured clinical documentation support toolkit to capture standardized data at office visits. We detail the process by which this toolkit was conceptualized and developed. Toolkit development was a physician-led process to determine a work flow and necessary elements to support best practices as defined by the neuro-oncology clinical team.
Results: We have developed in our EMR system a customized work flow for clinical encounters with neuro-oncology patients. In addition to providing a road map for clinical care by our neuro-oncology team, the toolkit is designed to maximize discrete data capture. Several hundred fields of discrete data are captured through the toolkit in the context of our routine office visits. We describe the characteristics of patients seen at our clinic, the adoption of the toolkit, current initiatives supported by the toolkit, and future applications.
Conclusion: The EMR can be effectively structured to standardize office visits and improve discrete data capture. This toolkit can be leveraged to support quality improvement and practice-based research initiatives at the point of care in a neuro-oncology practice.
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http://dx.doi.org/10.1016/j.mayocpiqo.2021.04.001 | DOI Listing |
Intensive Care Med
January 2025
Global Health Research Group in Acquired Brain and Spine Injuries, Cambridge, UK.
Background: Invasive systems are commonly used for monitoring intracranial pressure (ICP) in traumatic brain injury (TBI) and are considered the gold standard. The availability of invasive ICP monitoring is heterogeneous, and in low- and middle-income settings, these systems are not routinely employed due to high cost or limited accessibility. The aim of this consensus was to develop recommendations to guide monitoring and ICP-driven therapies in TBI using non-invasive ICP (nICP) systems.
View Article and Find Full Text PDFArch Pathol Lab Med
January 2025
the Department of Pathology, The Ohio State University, Columbus (Parwani).
Context.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.
Objective.
Pediatr Blood Cancer
January 2025
The Hospital for Sick Children, University of Toronto, Toronto, Canada.
Introduction: Medulloblastoma (MB) is the most common malignant childhood brain tumor. Molecular subgrouping of MB has become a major determinant of management in high-income countries. Subgrouping is still very limited in low- and middle-income countries (LMICs), and its relevance to management with the incorporation of risk stratification (low risk, standard risk, high risk, and very high risk) has yet to be evaluated in this setting.
View Article and Find Full Text PDFFront Psychol
January 2025
Clinic for Psychosomatic Medicine and Psychotherapy, University of Duisburg-Essen, LVR-University Hospital Essen, Essen, Germany.
Introduction: The experience of cancer among relatives is characterized by an increase in anxiety and depression, stress, and a reduction in quality of life. However, there is a paucity of psychosocial support programmes for relatives and a dearth of evidence-based, manualized interventions. Accordingly, the present study aims to assess the acceptability, defined as participant drop-out and satisfaction, and feasibility, in terms of mental health improvement, of a novel manualized psycho-educational group intervention.
View Article and Find Full Text PDFInt J Radiat Oncol Biol Phys
February 2025
Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
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