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E-076 improvement of patient care, quality and research through an automated cerebrovascular data collection (acdc)
  1. E Gilchrist,
  2. B Burks,
  3. K Espaillat,
  4. T Fortenberry,
  5. S Baggett,
  6. M Kearney,
  7. B Goggins,
  8. L He,
  9. J Mocco,
  10. M Froehler
  1. Cerebrovascular Clinical Research Office, Vanderbilt University Medical Center, Nashville, TN, USA


Background The need for automated patient data exists in a rapidly changing clinical world with a new focus on electronic medical records (EMR). In addition to improving patient care through increased quality monitoring, real-time, reliable data will allow faster and more accurate institutional reimbursement and research. We sought to pilot a process for automating cerebrovascular patient records from Vanderbilt University Medical Center’s (VUMC) electronic medical record, StarPanel, into REDCap (Research Electronic Data Capture), a secure, web-based data management application created at Vanderbilt.

Methods Our patient population is defined as those who are clinically treated for cerebrovascular disease at VUMC. Clinical care notes and forms were homogenized across clinical users and updated to capture discrete data points necessary for patient care, research, and quality improvement metrics linked to Get With The Guidelines set by the American Stroke Association and Core Measures designated by the Joint Commission. Data originating in the EMR will be routed through VUMC’s Enterprise Data Warehouse and into REDCap. Approved users will be able to easily access the data, generate reports, and export patient information directly into additional applications or software.

Conclusions Access to real-time patient data will allow for improved clinical quality at the point of care. It will provide healthcare providers the ability to impact care prior to discharge which benefits patients, the clinical team, and Vanderbilt as a whole. Uniformity in data collection will reduce system redundancies and streamline clinical workflow. Currently VUMC employs two individuals for the sole purpose of manually abstracting stroke patient data. By reducing the burden of manual data abstraction, we will implement a cost-saving application which improves patient care at VUMC through increased efforts towards implementing new processes for patient quality, safety, and risk-prevention.

Learning objectives By the conclusion of this session, participants should understand current issues affecting patient care, be able to discuss the potential benefits and hurdles associated with our proposed solution, identify additional ways this system would be beneficial both to patients and their own institutions.

How will our research improve patient care? Our system aims to improve patient care through real-time reporting of clinical data. Thoroughly understanding what occurs at the bedside will allow for improved clinical practices as well as correcting errors in patient care prior to discharge. Additionally, we seek to streamline the clinical workflow to reduce burdensome, redundant work which decreases the amount of time clinicians have to spend with their patients.

Disclosures E. Gilchrist: None. B. Burks: None. K. Espaillat: None. T. Fortenberry: None. S. Baggett: None. M. Kearney: None. B. Goggins: None. L. He: None. J. Mocco: None. M. Froehler: None.

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