MedCDI: A technology-based documentation and quality improvement initiative in neurosurgery.

ABSTRACT:

Background

Clinical documentation of patient care alters coding accuracy of Medicare Severity Diagnosis-Related Groups (MS-DRGs), expected mortality, and expected length of stay (LOS) which impact quality metrics. We aimed to determine if neurosurgical quality metrics could be improved by facilitating accurate documentation and subsequently developed a mobile application and educational video to target areas of opportunity.

Methods

Vizient software was used to analyze MS-DRGs and expected LOS for sample of patients requiring surgery for spinal pathology, brain tumors, and subarachnoid hemorrhage (SAH) between January 2019 and August 2021. Chart reviews were conducted to discover variables missed by documenting provider and/or coder.

Results

Review of 114 spinal surger

SUBMITTER: Porwal MH 

PROVIDER: S-EPMC9282783 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature