Data Abstractor

UNC-Chapel HillChapel Hill, NC

About The Position

The Data Abstractor’s primary function will be data abstraction, transferring data from EPIC electronic medical records and research databases to CAREWare, an electronic record used to monitor and improve HIV care and reporting, and using Microsoft Excel for data collection and tracking. Data abstraction will be primarily performed for UNC and affiliated clinic sites; however, abstractions may be performed for affiliated clinic sites in Greensboro, Burlington, and Chapel Hill. Data abstractor will audit others to identify and correct any entry or analysis errors. They will systematically clean data in databases which includes identifying the issue, chart review via EPIC, updating CAREWare, and interdisciplinary communication and collaboration to ensure that data is accurate. Other duties will include building reports in the CAREWare database for required output, representing data in graphic form, participating in clinical quality improvement initiatives. Reviewing and validating data associated with invoices will be expected. Work and productivity will be monitored through a monthly tracking sheet and communicating with the team about the status of work on a weekly basis. The position will work closely with the Ryan White Data Manager and data team to meet grant objectives and deadlines.

Requirements

  • Data abstraction from EPIC electronic medical records and research databases.
  • Data transfer to CAREWare.
  • Data collection and tracking using Microsoft Excel.
  • Auditing for data entry and analysis errors.
  • Data cleaning, including issue identification, chart review, and updating CAREWare.
  • Interdisciplinary communication and collaboration.
  • Building reports in CAREWare.
  • Data representation in graphic form.
  • Participation in clinical quality improvement initiatives.
  • Reviewing and validating invoice data.
  • Monthly work and productivity tracking.
  • Weekly team communication on work status.

Responsibilities

  • Transferring data from EPIC electronic medical records and research databases to CAREWare.
  • Using Microsoft Excel for data collection and tracking.
  • Auditing others to identify and correct entry or analysis errors.
  • Systematically cleaning data in databases, including identifying issues, chart review via EPIC, updating CAREWare, and interdisciplinary communication and collaboration.
  • Building reports in the CAREWare database for required output.
  • Representing data in graphic form.
  • Participating in clinical quality improvement initiatives.
  • Reviewing and validating data associated with invoices.
  • Monitoring work and productivity through a monthly tracking sheet.
  • Communicating with the team about the status of work on a weekly basis.
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