IdHIMA | Health Information Management Best Practices for Quality Health Data During COVID-19

Overview:

The emergence of the deadly COVID-19 virus, resulting in the current world-wide pandemic requires effective information management and accurate data reporting to enable the healthcare community’s efforts to learn as much as possible about this specific strain of coronavirus and halt the pandemic. Therefore, it is essential that health information management (HIM) professionals ensure COVID-19 documentation, data capture, data analysis and reporting, as well as coding are accurate and reliable to support clinical care, organizational management, public health reporting, population health management, and scientific research. However, many health information (HIM) professionals in inpatient and ambulatory care settings are struggling to provide direction on COVID-19 data capture due to evolving guidance ranging from what needs to be captured to how the data should be coded and reported to how to accurately present the data both internally and externally. Detailed clinical docume ntation for COVID-19 data collection is also a challenge due to unprecedented demands on healthcare providers. This webinar describes specific steps to ensure data quality and applies those steps to both administrative and clinical COVID-19 data.

Date Published:

May 12, 2020

CEU:

1.0 – Informatics, Analytics, and Data Use

Speaker:

Mary H. Stanfill, MBI, RHIA, CCS, CCS-P, FAHIMA, Vice President of Consulting Services, United Audit Systems, Inc.

Kathy Giannangelo, MA, RHIA, CCS, CPHIMS, FAHIMA, President, Kathy Giannangelo Consulting.

Susan H. Fenton, PhD, RHIA, CPHI, FAHIMA, Associate Dean for Academic and Curricular Affairs, The University of Texas Health Science Center School of Biomedical Informatics.