The results, published in the Journal of AHIMA, come from Central Learning’s examination of 1,636 medical cases coded by contest participants. The contest took place over the summer.
Here are five key findings.
1. Average inpatient coder accuracy was 61 percent, up from 55 percent in 2016.
2. Average coding accuracy in ambulatory surgery centers was slightly lower in 2017 (45 percent) compared to 2016 (46 percent).
3. Average coding accuracy in the emergency department was 36 percent, up from 33 percent in the year prior.
4. Coding accuracy for diagnostic-related groups was 72 percent in 2016. In 2017, coding accuracy for five new cases was 73 percent and 71 percent for the same five cases as 2016.
5. Among the diagnosis chapters with the lowest code accuracy were “congenital malformation, deformations and chromosomal abnormalities” as well as “diseases of the skin and subcutaneous tissue” and “certain infectious and parasitic diseases.”
Read more about the results here.
More articles on finance:
10 cities with most, least expensive hospitals
Lawsuit: Epic’s software double-bills Medicare, Medicaid for anesthesia services
UPMC to invest $2 billion in 3 digitally-centered specialty hospitals
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.