Improving Data Integrity Through Waitlist Reconciliation

Problem: Prior to the EMR (Epic/Phoenix) Optimization at our transplant center, the process of waitlist reconciliation was not part of a standard workflow. Data had not been consistently and accurately captured to match data submitted to UNOS. Technological solutions and collaborative efforts to correctly enter data were not sufficiently leveraged.

Measurement: We reviewed the percentage of listing elements were accurately entered, our baseline for various elements ranged from 0%-87%. Our goal was to achieve ≥95% Element Completion by June 30, 2021.

Analysis: After establishing a benchmark for items, we held weekly reviews with staff entering the data and monthly audits presented in our Daily Engagement System (DES) huddles.

Implementation: Implementation of Waitlist Reconciliation between UNet and EMR was an integral part of patient safety and facilitates an effective care model. We fostered staff ownership of the process and refined which parties were responsible for data entry at specific stages of the patient journey.

Results/Discussion: We achieved 100% completion of the four tracked listing items for our Kidney team, a few hiccups were corrected after error identification. ‘Date Chronic Dialysis Began’, ‘UNOS Qualifying Date’, and ‘High KDPI Donor Acceptance Criteria’ were all in agreement with data tracked in UNet. Other organ programs are following suit.

Speakers
Transplant Quality Manager
Transplant Quality Manager – UC San Diego Health

Speaker Type: Poster Presentations On-Demand

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Quality and Regulatory
Quality and Regulatory – UC San Diego Health

Speaker Type: Poster Presentations On-Demand

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  • Health Data Analytics IconHealth Data Analytics

Speaker Type: Poster Presentations On-Demand

  • Health Data Analytics IconHealth Data Analytics

Speaker Type: Poster Presentations On-Demand

  • Health Data Analytics IconHealth Data Analytics
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