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Modernizing Registry Operations: Implementing File*Pro Automation with Groovy Scripting to Streamline Data Processing in Missouri.

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Τίτλος: Modernizing Registry Operations: Implementing File*Pro Automation with Groovy Scripting to Streamline Data Processing in Missouri.
Συγγραφείς: Jain N; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO., Carey D; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO., Ham L; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO., Steffens J; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO., Hernández J; Missouri Department of Health and Senior Services, Jefferson City, MO., Zachary I; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO.; MU Institute for Data Science and Informatics, University of Missouri, Columbia, MO.
Πηγή: Journal of registry management [J Registry Manag] 2025 Winter; Vol. 52 (4), pp. 155-159.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: National Cancer Registrars Association, Inc Country of Publication: United States NLM ID: 9804163 Publication Model: Print Cited Medium: Print ISSN: 1945-6123 (Print) Linking ISSN: 19456131 NLM ISO Abbreviation: J Registry Manag Subsets: MEDLINE
Imprint Name(s): Publication: Alexandria, VA : National Cancer Registrars Association, Inc.
Original Publication: Lenexa, KS : National Cancer Registrars Association
Ιατρικοί όροι (MeSH): Registries*/standards , Electronic Data Processing*/methods , Neoplasms*/epidemiology, Missouri ; Humans ; Automation
Περίληψη: Background and Objective: Processing out-of-state (OOS) cancer registry files has historically required time-consuming manual work and programmer intervention. At the Missouri Cancer Registry and Research Center (MCR), File*Pro was integrated into our process at MCR with state-specific groovy configuration files to streamline file preparation, reduce turnaround time, and empower oncology data specialists (ODS) to work independently. This report evaluates the effectiveness of this approach and shares adaptable templates for replication by other registries.
Methods: Custom groovy scripts were developed to align OOS files with PrepPlus requirements. These scripts automated default value population, corrected state-specific fields (e.g., county codes), and provided reusable templates. Evaluation metrics included pre- and post-implementation processing times, staff independence, and QA dashboard indicators.
Results: From January to April 2025, 180 cases across 9 OOS files were processed with minimal programmer support. County code corrections applied to 3,476 cases from 31 files using the same workflow. ODS staff independently processed up to 13 OOS files in 4 months, saving ~5 days per file by avoiding programmer delays. QA metrics showed a 5-day improvement in turnaround times.
Conclusion: File*Pro with groovy configurations offer a scalable, adaptable solution for registries. By reducing reliance on programmers, empowering staff, and accelerating workflows, this approach enhances efficiency and can be replicated in other central registries with minimal training.
(© 2025 National Cancer Registrars Association.)
Competing Interests: The authors declare no conflicts of interest, financial or nonfinancial, related to the content of this manuscript.
Contributed Indexing: Keywords: File*Pro; automation; cancer registry; groovy scripts; workflow efficiency
Entry Date(s): Date Created: 20260511 Date Completed: 20260716 Latest Revision: 20260716
Update Code: 20260717
PubMed Central ID: PMC13151757
PMID: 42110486
Βάση Δεδομένων: MEDLINE
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  Data: Modernizing Registry Operations: Implementing File*Pro Automation with Groovy Scripting to Streamline Data Processing in Missouri.
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  Data: <searchLink fieldCode="AU" term="%22Jain+N%22">Jain N</searchLink>; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO.<br /><searchLink fieldCode="AU" term="%22Carey+D%22">Carey D</searchLink>; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO.<br /><searchLink fieldCode="AU" term="%22Ham+L%22">Ham L</searchLink>; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO.<br /><searchLink fieldCode="AU" term="%22Steffens+J%22">Steffens J</searchLink>; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO.<br /><searchLink fieldCode="AU" term="%22Hernández+J%22">Hernández J</searchLink>; Missouri Department of Health and Senior Services, Jefferson City, MO.<br /><searchLink fieldCode="AU" term="%22Zachary+I%22">Zachary I</searchLink>; Missouri Cancer Registry and Research Center, University of Missouri, Columbia, MO.; College of Health Sciences, Department of Public Health, University of Missouri, Columbia, MO.; MU Institute for Data Science and Informatics, University of Missouri, Columbia, MO.
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  Data: Background and Objective: Processing out-of-state (OOS) cancer registry files has historically required time-consuming manual work and programmer intervention. At the Missouri Cancer Registry and Research Center (MCR), File*Pro was integrated into our process at MCR with state-specific groovy configuration files to streamline file preparation, reduce turnaround time, and empower oncology data specialists (ODS) to work independently. This report evaluates the effectiveness of this approach and shares adaptable templates for replication by other registries.<br />Methods: Custom groovy scripts were developed to align OOS files with PrepPlus requirements. These scripts automated default value population, corrected state-specific fields (e.g., county codes), and provided reusable templates. Evaluation metrics included pre- and post-implementation processing times, staff independence, and QA dashboard indicators.<br />Results: From January to April 2025, 180 cases across 9 OOS files were processed with minimal programmer support. County code corrections applied to 3,476 cases from 31 files using the same workflow. ODS staff independently processed up to 13 OOS files in 4 months, saving ~5 days per file by avoiding programmer delays. QA metrics showed a 5-day improvement in turnaround times.<br />Conclusion: File*Pro with groovy configurations offer a scalable, adaptable solution for registries. By reducing reliance on programmers, empowering staff, and accelerating workflows, this approach enhances efficiency and can be replicated in other central registries with minimal training.<br /> (© 2025 National Cancer Registrars Association.)
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  Data: The authors declare no conflicts of interest, financial or nonfinancial, related to the content of this manuscript.
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