OSUWMC receives AHIMA Grace Award for commendable efforts

OSUWMC receives AHIMA Grace Award honoring its leadership in the sector of health information management.

At the institute of Ohio State University Wexner Medical Center (OSUWMC), compiling data into its electronic health record (EHR) is more than an exercise in documentation—it is the beginning of a procedure that has clinical relevance. In recognition of its attempts, the OSUWMC receives AHIMA Grace Award honoring its leadership in the sector of health information management.

“We actually see the utilization of the EHR as an extension of clinical practice,” claims Andrew Thomas, MD, chief medical officer of Ohio State Health System and senior associate vice president of Ohio State Health Sciences. “The EHR is a core part not just of documenting what we do but also driving decision support.”

The multidisciplinary academic medical center was presented with the award at previous week’s AHIMA yearly convention in the area of Baltimore. AHIMA’s Grace Award recognizes healthcare agencies that indicate outstanding and creative approaches to using health information management (HIM) as a path to deliver high-quality care to sufferers. That’s why. OSUWMC receives AHIMA Grace Award honoring its leadership in the sector of health information management.

“The agency’s HIM staff of the agency helped with these efforts by assisting to define information sources, and making certain identified predictors were tracked and captured in the record, and documented conditions were coded precisely,” claims the association. “By acting as the ‘interpreter’ between data analysts and clinicians, and liaisons to the leadership decision-making procedure, the OSUWMC HIM professionals finally enhanced patient care.”

In addition to AHIMA’s Grace Award, Thomas points that the medical center is also a 2-time winner of the HIMSS Davies Award.

Thomas further adds that its electronic health record system has encouraged OSUWMC to expand from information collection to analysis in case to give more effective, efficient evidence-based patient care in a timely manner by leveraging predictive modeling involving the Modified Early Warning System—a tool utilized by nurses to assist monitor sufferers and improve how rapidly a sufferer experiencing a sudden decline gets clinical care.