scholarly journals Implementing an Electronic Data Capture System to Improve Clinical Workflow in a Large Academic Radiation Oncology Practice

2018 ◽  
pp. 1-12 ◽  
Author(s):  
Dario Pasalic ◽  
Jay P. Reddy ◽  
Timothy Edwards ◽  
Hubert Y. Pan ◽  
Benjamin D. Smith

Purpose To describe the feasibility and benefits of implementing a custom radiation oncology electronic data capture (EDC) system in a large academic radiation oncology practice. Patients and Methods A Web-based point-and-click EDC known as Brocade was internally developed and implemented systemwide in 2016. Brocade captures key data elements, such as stage, histology, and patient and treatment characteristics; links this information to radiation dose data extracted from the record and verify system; and creates clinical notes that are automatically exported to the hospital electronic health record. We report the number of unique radiation episodes captured by Brocade in its first full year of implementation and describe the notes generated, toxicities captured, compliance with staging and quality assurance, and time of day in which documentation occurred with Brocade versus our prior human transcription system. Results A median of 756 radiation episodes per month was captured for a total of 9,283 unique episodes captured in the first full year of implementation. The most common notes were for on-treatment visits (29,913) and simulations (13,220). Stage was captured for 92.2% of Brocade episodes (8,513 of 9,236) versus 29.7% of courses pre-Brocade (3,025 of 10,170; P < .001). Quality assurance was documented for 96.3% of completed courses (7,601 of 7,892). The most common grade ≥1 toxicities were pain (10,031), fatigue (7,490), and dermatitis (6,172). Brocade implementation was associated with a reduction in off-hours documentation and increase in the proportion of documentation created between 8:00 am and 12:00 pm. Conclusion Brocade is a reliable Web-based EDC tool that improves clinical documentation without detracting from clinical workflow. Moreover, Brocade has the advantage of capturing data in a structured manner that facilitates real-time analytics and outcome reporting.

2016 ◽  
Vol 13 (4) ◽  
pp. 401-407 ◽  
Author(s):  
Hubert Y. Pan ◽  
Simona F. Shaitelman ◽  
George H. Perkins ◽  
Pamela J. Schlembach ◽  
Wendy A. Woodward ◽  
...  

2020 ◽  
Vol 4 (2) ◽  
pp. 108-114
Author(s):  
Sabina B. Gesell ◽  
Jacqueline R. Halladay ◽  
Laurie H. Mettam ◽  
Mysha E. Sissine ◽  
B. Lynette Staplefoote-Boynton ◽  
...  

AbstractBackground:Research Electronic Data Capture (REDCap) is a secure, web-based electronic data capture application for building and managing surveys and databases. It can also be used for study management, data transfer, and data export into a variety of statistical programs. REDcap was developed and supported by the National Center for Advancing Translational Sciences Program and is used in over 3700 institutions worldwide. It can also be used to track and measure stakeholder engagement, an integral element of research funded by the Patient-Centered Outcomes Research Institute (PCORI). Continuously and accurately tracking and reporting on stakeholder engagement activities throughout the life of a PCORI-funded trial can be challenging, particularly in complex trials with multiple types of engagement.Methods:In this paper, we show our approach for collecting and capturing stakeholder engagement activities using a shareable REDCap tool in one of the PCORI’s first large pragmatic clinical trials (the Comprehensive Post-Acute Stroke Services) to inform other investigators planning cluster-randomized pragmatic trials. Benefits and challenges are highlighted for researchers seeking to consistently monitor and measure stakeholder engagement.Conclusions:We describe how REDCap can provide a time-saving approach to capturing how stakeholders engage in a PCORI-funded study and reporting how stakeholders influenced the study in progress reports back to PCORI.


2016 ◽  
Vol 34 (Supplement 1) ◽  
pp. e247
Author(s):  
Jing Zhang ◽  
Lei Sun ◽  
Yu Liu ◽  
Hongyi Wang ◽  
Ningling Sun ◽  
...  

2016 ◽  
Vol 3 (3) ◽  
pp. 236-241 ◽  
Author(s):  
Cameron B. Alavi ◽  
John D. Massman

2007 ◽  
Vol 23 (8) ◽  
pp. 1967-1979 ◽  
Author(s):  
Joseph Huffstutter ◽  
W. David Craig ◽  
Gregory Schimizzi ◽  
John Harshbarger ◽  
Jeffrey Lisse ◽  
...  

Author(s):  
Akiyoshi KAWAI ◽  
Tomoaki KUWANO ◽  
Hisao NAKAJIMA ◽  
Kiyofumi MIZUNO ◽  
Hiroyuki NISHIMOTO ◽  
...  

2021 ◽  
Vol 15 (8) ◽  
pp. e0009675
Author(s):  
Saugat Karki ◽  
Adam Weiss ◽  
Jina Dcruz ◽  
Dorothy Hunt ◽  
Brandon Haigood ◽  
...  

Background In the absence of a vaccine or pharmacological treatment, prevention and control of Guinea worm disease is dependent on timely identification and containment of cases to interrupt transmission. The Chad Guinea Worm Eradication Program (CGWEP) surveillance system detects and monitors Guinea worm disease in both humans and animals. Although Guinea worm cases in humans has declined, the discovery of canine infections in dogs in Chad has posed a significant challenge to eradication efforts. A foundational information system that supports the surveillance activities with modern data management practices is needed to support continued program efficacy. Methods We sought to assess the current CGWEP surveillance and information system to identify gaps and redundancies and propose system improvements. We reviewed documentation, consulted with subject matter experts and stakeholders, inventoried datasets to map data elements and information flow, and mapped data management processes. We used the Information Value Cycle (IVC) and Data-Information System-Context (DISC) frameworks to help understand the information generated and identify gaps. Results Findings from this study identified areas for improvement, including the need for consolidation of forms that capture the same demographic variables, which could be accomplished with an electronic data capture system. Further, the mental models (conceptual frameworks) IVC and DISC highlighted the need for more detailed, standardized workflows specifically related to information management. Conclusions Based on these findings, we proposed a four-phased roadmap for centralizing data systems and transitioning to an electronic data capture system. These included: development of a data governance plan, transition to electronic data entry and centralized data storage, transition to a relational database, and cloud-based integration. The method and outcome of this assessment could be used by other neglected tropical disease programs looking to transition to modern electronic data capture systems.


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