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Electronic Documentation of Intraoperative Observation of Cystoscopic Procedures Using the cMDX Information System
Okyaz Eminaga1, Timothy Jiyong Lee2, Vinh La2
1AI VOBIS, Palo Alto, CA.
This study introduces a novel schematic documentation system for bladder tumors during transurethral resection (TURBT). The system enhances lesion characterization and spatial analysis, improving intraoperative data utilization.
Area of Science:
- Urology
- Oncology
- Medical Informatics
Background:
- Accurate documentation of bladder lesions during transurethral resection of bladder tumors (TURBT) is crucial but optimizing schematic documentation has been overlooked.
- Current methods may lack the detail needed for comprehensive diagnosis and treatment planning.
Purpose of the Study:
- To evaluate a novel cMDX-based documentation system for schematic representation of bladder lesions during TURBT.
- To investigate the utility of graphical representation, lesion-specific questionnaires, and heatmap analysis for intraoperative data.
Main Methods:
- A prospective observational study involving 97 TURBT cases (176 lesions) between 2021-2023.
- Utilized a cMDX system with graphical bladder schemes, lesion questionnaires, and heatmap analysis for spatial distribution.
- Applied spatial analyses to determine lesion frequency and distribution patterns.
Main Results:
- Identified 176 lesions across various bladder areas, with specific frequency patterns observed (posterior, trigone, lateral, etc.).
- Lesion sizes ranged from 5 to 29 mm, with most categorized as indeterminate or moderate suspicion.
- Demonstrated varying lesion frequencies in different anatomical regions of the bladder.
Conclusions:
- Schematic documentation techniques, integrated with cMDX and heatmap analysis, offer significant potential for TURBT data.
- This approach aids in informed decision-making, quality assessment, and research by providing insights into lesion distribution and characteristics.
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Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include: