Varadraj Gurupur, PhD, an associate professor at Orlando-based University of Central Florida's School of Global Health Management and Informatics, has developed an algorithm that can help fill in incomplete EHRs.
The tool can predict and measure the incompleteness of EHRs in lab results, disease diagnosis, medical history and prescription records. Hospitals can lose an average of $5 to $8 million a year due to incomplete EHR data that impacts insurance reimbursement, according to a Nov. 17 UCF news release.
Dr. Gurupur's algorithm works by identifying medical attributes that are more likely to be incomplete.