2022 Quality Summit ePosters (Non-CE) - CathPCI Registry-4. New Kids on the Block: Reduce Data Submission Fatigue with Aim to Improve Data Quality Report

4. New Kids on the Block: Reduce Data Submission Fatigue with Aim to Improve Data Quality Report

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The authors of this document are Michelle Antiporda, LVN, BA, AACC, Beanet Solorzano, LVN, Projects Coordinator/Data Abstractor-Quality and Outcomes, Rochelle Nadres, CCS-Data Abstractor-Quality and Outcomes, Leandro Sagalongos, CCS-Data Abstractor-Quality and Outcomes, and Ling Zheng, PhD, MBBS, CPHQ, Associate Administrator-Quality Informatics and Analytics. The document discusses a quality improvement project aimed at improving the timeliness and efficiency of data submission in the Data Abstractors team.<br /><br />The authors found that delayed information from stakeholders and data abstractors led to last-minute changes in data elements, causing fatigue and stress. To address this problem, the team implemented a robust process to standardize workflow and track Data Quality Reports (DQR) in a timely manner. They also identified physical and mental factors that impacted data submission and created a stress-free environment. Weekly meetings were held to address missing data elements, and ongoing education was provided to ensure data quality and integrity.<br /><br />The project resulted in several positive outcomes, including an improved pattern of DQR clean up, a 50% reduction in fatigue and stress, and a sustainable workflow. The authors credit the project for reducing spending and improving overall health as part of the Value-Based Healthcare Benefits. They emphasize the importance of timely data submission and data transparency in improving hospital outcomes reporting.<br /><br />The document also provides tables and figures illustrating the assigned cases to data abstractors and the missing data variables. The authors highlight that the CATHPCI registry has the highest volume of cases and requires diligent data clean-up and validation. They stress the importance of collaboration and process improvement strategies in preventing data submission fatigue. The authors conclude by expressing their intention to share their successful abstraction model with other healthcare facilities and focus on improving key metrics in real-time.<br /><br />No disclosures or conflicts of interest are reported by the primary author.

Keywords

Data Abstractors team

workflow standardization

data submission

fatigue reduction

data quality

timely data submission

hospital outcomes reporting

CATHPCI registry

process improvement strategies

abstraction model